From a0498e39fc0f1717aeb3f69eec5a0425b0bff47c Mon Sep 17 00:00:00 2001
From: josephbowles <54283511+josephbowles@users.noreply.github.com>
Date: Thu, 29 May 2025 21:53:09 +0200
Subject: [PATCH 01/22] iqpopt demo fix (#1383)

bug fix for the iqp circuit optimization demo. We updated the external
package (IQPopt) and this caused an issue because we didn't specify a
kwarg in one of the functions. Should be back now.

---------

Co-authored-by: Rashid N H M <95639609+rashidnhm@users.noreply.github.com>
Co-authored-by: Paul Finlay <50180049+doctorperceptron@users.noreply.github.com>
Co-authored-by: doctorperceptron <paul@xanadu.ai>
---
 Makefile                                                      | 2 ++
 .../tutorial_iqp_circuit_optimization_jax.metadata.json       | 2 +-
 demonstrations/tutorial_iqp_circuit_optimization_jax.py       | 4 ++--
 3 files changed, 5 insertions(+), 3 deletions(-)

diff --git a/Makefile b/Makefile
index edfc64ec39..742747f052 100644
--- a/Makefile
+++ b/Makefile
@@ -80,6 +80,8 @@ environment:
 			$$PYTHON_VENV_PATH/bin/python -m pip install --extra-index-url https://test.pypi.org/simple/ PennyLane-Lightning --pre --upgrade;\
 			$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/PennyLaneAI/pennylane.git#egg=pennylane;\
 			$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/XanaduAI/iqpopt.git#egg=iqpopt;\
+			# TODO: Remove this on next release. Currently Catalyst 0.11 pins jaxlib to 0.4.8;\
+			$$PYTHON_VENV_PATH/bin/python -m pip install 'numpy<2';\
 		fi;\
 	fi
 
diff --git a/demonstrations/tutorial_iqp_circuit_optimization_jax.metadata.json b/demonstrations/tutorial_iqp_circuit_optimization_jax.metadata.json
index f045cffd4e..eb2b74f17b 100644
--- a/demonstrations/tutorial_iqp_circuit_optimization_jax.metadata.json
+++ b/demonstrations/tutorial_iqp_circuit_optimization_jax.metadata.json
@@ -9,7 +9,7 @@
         }
     ],
     "dateOfPublication": "2025-02-14T09:00:00+00:00",
-    "dateOfLastModification": "2025-02-14T09:00:00+00:00",
+    "dateOfLastModification": "2025-05-28T09:00:00+00:00",
     "categories": [
         "Optimization",
         "Algorithms"
diff --git a/demonstrations/tutorial_iqp_circuit_optimization_jax.py b/demonstrations/tutorial_iqp_circuit_optimization_jax.py
index 1f25a0cbb7..211b1f3c22 100644
--- a/demonstrations/tutorial_iqp_circuit_optimization_jax.py
+++ b/demonstrations/tutorial_iqp_circuit_optimization_jax.py
@@ -552,8 +552,8 @@ def loss_fn(params, circuit, ops, n_samples, key):
 # machinery. We can then compare our trained and untrained samples with the ground truth through a
 # histogram of the bitstring weights and evaluate the distributions.
 #
-samples_untrained = circuit.sample(params_init, 1000)
-samples_trained = circuit.sample(trainer.final_params, 1000)
+samples_untrained = circuit.sample(params_init, shots=1000)
+samples_trained = circuit.sample(trainer.final_params, shots=1000)
 
 plt.hist(np.sum(samples_untrained, axis=1), bins=20, range=[0,20], alpha=0.5, label = 'untrained circuit')
 plt.hist(np.sum(samples_trained, axis=1), bins=20, range=[0,20], alpha=0.5, label = 'trained circuit')

From 309b078644fada3815e99c366bc239c5df7683e4 Mon Sep 17 00:00:00 2001
From: Andrija Paurevic <46359773+andrijapau@users.noreply.github.com>
Date: Wed, 11 Jun 2025 16:31:39 -0400
Subject: [PATCH 02/22] fix `dev` branch errors (#1393)

**Context:**

Unfortunately, lots of errors were hiding for a long time. Most of them
are resolved by updating dependencies.

[sc-92403]

---------

Co-authored-by: dwierichs <david.wierichs@xanadu.ai>
Co-authored-by: JerryChen97 <chenys13@outlook.com>
---
 Makefile                                      |    2 +
 conf.py                                       |    2 +-
 demonstrations/tutorial_QGAN.metadata.json    |    2 +-
 demonstrations/tutorial_QGAN.py               |   14 +-
 .../tutorial_block_encoding.metadata.json     |    2 +-
 demonstrations/tutorial_block_encoding.py     |   25 +-
 ...iqp_circuit_optimization_jax.metadata.json |    2 +-
 .../tutorial_iqp_circuit_optimization_jax.py  |   14 +-
 demonstrations/tutorial_pasqal.metadata.json  |    2 +-
 demonstrations/tutorial_pasqal.py             |    7 +-
 ...tadata.json => zne_catalyst.metadata.json} |    0
 ...torial_zne_catalyst.py => zne_catalyst.py} |    0
 poetry.lock                                   | 1741 +++++++++++------
 pyproject.toml                                |    8 +-
 14 files changed, 1150 insertions(+), 671 deletions(-)
 rename demonstrations/{tutorial_zne_catalyst.metadata.json => zne_catalyst.metadata.json} (100%)
 rename demonstrations/{tutorial_zne_catalyst.py => zne_catalyst.py} (100%)

diff --git a/Makefile b/Makefile
index 742747f052..f86e9adedd 100644
--- a/Makefile
+++ b/Makefile
@@ -82,6 +82,8 @@ environment:
 			$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/XanaduAI/iqpopt.git#egg=iqpopt;\
 			# TODO: Remove this on next release. Currently Catalyst 0.11 pins jaxlib to 0.4.8;\
 			$$PYTHON_VENV_PATH/bin/python -m pip install 'numpy<2';\
+			# TODO: Update flax, or certain tutorials e.g. tutorial_rl_pulse.py will fail due to implicit confliction between jax==0.6.0 and flax==0.9.0;\
+			$$PYTHON_VENV_PATH/bin/python -m pip install jax==0.6.0 jaxlib==0.6.0 flax==0.10.6;\
 		fi;\
 	fi
 
diff --git a/conf.py b/conf.py
index 8105437024..3a63ea19fc 100644
--- a/conf.py
+++ b/conf.py
@@ -18,7 +18,7 @@
 import numpy as np
 from jinja2 import FileSystemLoader, Environment
 import yaml
-from pennylane import PennyLaneDeprecationWarning
+from pennylane.exceptions import PennyLaneDeprecationWarning
 from pathlib import Path
 
 sys.path.insert(0, os.path.abspath("."))
diff --git a/demonstrations/tutorial_QGAN.metadata.json b/demonstrations/tutorial_QGAN.metadata.json
index 2cf2f49c60..a8a1788db2 100644
--- a/demonstrations/tutorial_QGAN.metadata.json
+++ b/demonstrations/tutorial_QGAN.metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2019-10-11T00:00:00+00:00",
-    "dateOfLastModification": "2024-10-07T00:00:00+00:00",
+    "dateOfLastModification": "2025-06-10T00:00:00+00:00",
     "categories": [
         "Quantum Machine Learning"
     ],
diff --git a/demonstrations/tutorial_QGAN.py b/demonstrations/tutorial_QGAN.py
index bc51ac55e2..ff9b6adeba 100644
--- a/demonstrations/tutorial_QGAN.py
+++ b/demonstrations/tutorial_QGAN.py
@@ -212,9 +212,12 @@ def gen_cost(gen_weights):
 cost = lambda: disc_cost(disc_weights)
 
 for step in range(50):
-    opt.minimize(cost, [disc_weights])
+    with tf.GradientTape() as tape:
+        loss_value = cost()
+    gradients = tape.gradient(loss_value, [disc_weights])
+    opt.apply_gradients(zip(gradients, [disc_weights]))
     if step % 5 == 0:
-        cost_val = cost().numpy()
+        cost_val = loss_value.numpy()
         print("Step {}: cost = {}".format(step, cost_val))
 
 
@@ -242,9 +245,12 @@ def gen_cost(gen_weights):
 cost = lambda: gen_cost(gen_weights)
 
 for step in range(50):
-    opt.minimize(cost, [gen_weights])
+    with tf.GradientTape() as tape:
+        loss_value = cost()
+    gradients = tape.gradient(loss_value, [gen_weights])
+    opt.apply_gradients(zip(gradients, [gen_weights]))
     if step % 5 == 0:
-        cost_val = cost().numpy()
+        cost_val = loss_value.numpy()
         print("Step {}: cost = {}".format(step, cost_val))
 
 
diff --git a/demonstrations/tutorial_block_encoding.metadata.json b/demonstrations/tutorial_block_encoding.metadata.json
index f9f3ca3656..1be9d62bfd 100644
--- a/demonstrations/tutorial_block_encoding.metadata.json
+++ b/demonstrations/tutorial_block_encoding.metadata.json
@@ -12,7 +12,7 @@
         }
     ],
     "dateOfPublication": "2023-11-28T00:00:00+00:00",
-    "dateOfLastModification": "2025-05-27T00:00:00+00:00",
+    "dateOfLastModification": "2025-06-02T00:00:00+00:00",
     "categories": [
         "Quantum Computing",
         "Algorithms"
diff --git a/demonstrations/tutorial_block_encoding.py b/demonstrations/tutorial_block_encoding.py
index 22494eaf9e..cc5f74d59b 100644
--- a/demonstrations/tutorial_block_encoding.py
+++ b/demonstrations/tutorial_block_encoding.py
@@ -104,8 +104,8 @@
 # The next step is to identify and prepare the qubit registers used in the oracle access framework.
 # There are three registers :code:`"ancilla"`, :code:`"wires_i"`, :code:`"wires_j"`. The
 # :code:`"ancilla"` register will always contain a single qubit, this is the auxilary qubit where we
-# apply the rotation gates mentioned above. The :code:`"wires_i"` and :code:`"wires_j"` registers are 
-# the same size for this algorithm and need to be able to encode :math:`A` itself, so they will both 
+# apply the rotation gates mentioned above. The :code:`"wires_i"` and :code:`"wires_j"` registers are
+# the same size for this algorithm and need to be able to encode :math:`A` itself, so they will both
 # have :math:`2` qubits for our matrix.
 
 ancilla_wires = ["ancilla"]
@@ -118,11 +118,8 @@
 # Finally, we obtain the control wires for the C-NOT gates and a wire map that we later use to
 # translate the control wires into the wire registers we prepared.
 
-code = gray_code(2 * np.log2(len(A)))
-n_selections = len(code)
-
-control_wires = [int(np.log2(int(code[i], 2) ^ int(code[(i + 1) %
-                 n_selections], 2))) for i in range(n_selections)]
+code = gray_code(int(2 * np.log2(len(A))))
+control_wires = np.log2(code ^ np.roll(code, -1)).astype(int)
 
 wire_map = {control_index : wire for control_index, wire in enumerate(wires_j + wires_i)}
 
@@ -236,16 +233,16 @@ def UA(thetas, control_wires, ancilla):
 # The quantum circuit for the oracle :math:`U_A,` presented above, accesses every entry of
 # :math:`A` and thus requires :math:`~ O(N^2)` gates to implement the oracle [#fable]_. In the
 # special cases where :math:`A` is structured and sparse, we can generate a more efficient quantum
-# circuit representation for :math:`U_A` and :math:`U_B` [#sparse]_ by only keeping track of the 
-# non-zero entries of the matrix. 
+# circuit representation for :math:`U_A` and :math:`U_B` [#sparse]_ by only keeping track of the
+# non-zero entries of the matrix.
 #
 # Let :math:`b(i,j)` be a function such that it takes a column index :math:`j` and returns the
-# row index for the :math:`i^{th}` non-zero entry in that column of :math:`A.` Note, in this 
-# formulation, the :math:`|i\rangle` qubit register now refers to the number of non-zero entries 
+# row index for the :math:`i^{th}` non-zero entry in that column of :math:`A.` Note, in this
+# formulation, the :math:`|i\rangle` qubit register now refers to the number of non-zero entries
 # in :math:`A.` For sparse matrices, this can be much smaller than :math:`N,` thus saving us many
 # qubits. We use this to define :math:`U_A` and :math:`U_B.`
 #
-# Like in the structured approach, the :math:`U_A` oracle is responsible for encoding the matrix 
+# Like in the structured approach, the :math:`U_A` oracle is responsible for encoding the matrix
 # entries of :math:`A` into the amplitude of the ancilla qubit. However, we now use :math:`b(i,j)`
 # to access the row index of the non-zero entries:
 #
@@ -253,7 +250,7 @@ def UA(thetas, control_wires, ancilla):
 #
 #     U_A |0\rangle_{\text{anc}} |i\rangle |j\rangle = |A_{b(i,j),j}\rangle_{\text{anc}} |i\rangle |j\rangle,
 #
-# In this case the :math:`U_B` oracle is responsible for implementing the :math:`b(i,j)` function 
+# In this case the :math:`U_B` oracle is responsible for implementing the :math:`b(i,j)` function
 # and taking us from the column index to the row index in the qubit register:
 #
 # .. math:: U_B |i\rangle|j\rangle \ = \ |i\rangle |b(i,j)\rangle
@@ -286,7 +283,7 @@ def UA(thetas, control_wires, ancilla):
 
 ##############################################################################
 # Once again we identify and prepare the qubit registers used in the oracle access framework.
-# 
+#
 # The :code:`"ancilla"` register will still contain a single qubit, the target for the
 # controlled rotation gates. The :code:`"wires_i"` register needs to be large enough to binary
 # encode the maximum number of non-zero entries in any column or row. Given the structure of
diff --git a/demonstrations/tutorial_iqp_circuit_optimization_jax.metadata.json b/demonstrations/tutorial_iqp_circuit_optimization_jax.metadata.json
index eb2b74f17b..c65fc9b253 100644
--- a/demonstrations/tutorial_iqp_circuit_optimization_jax.metadata.json
+++ b/demonstrations/tutorial_iqp_circuit_optimization_jax.metadata.json
@@ -9,7 +9,7 @@
         }
     ],
     "dateOfPublication": "2025-02-14T09:00:00+00:00",
-    "dateOfLastModification": "2025-05-28T09:00:00+00:00",
+    "dateOfLastModification": "2025-06-02T09:00:00+00:00",
     "categories": [
         "Optimization",
         "Algorithms"
diff --git a/demonstrations/tutorial_iqp_circuit_optimization_jax.py b/demonstrations/tutorial_iqp_circuit_optimization_jax.py
index 211b1f3c22..821875da0d 100644
--- a/demonstrations/tutorial_iqp_circuit_optimization_jax.py
+++ b/demonstrations/tutorial_iqp_circuit_optimization_jax.py
@@ -134,11 +134,12 @@ def penn_iqp_gates(params: np.ndarray, gates: list, n_qubits: int):
     for i in range(n_qubits):
         qml.Hadamard(i)
 
+
 ######################################################################
 # Now we have our circuit, we can evaluate expectation values of tensor products of Pauli Z operators
 # specified by lists of the form ``op`` above.
 #
-def penn_obs(op: np.ndarray) -> qml.operation.Observable:
+def penn_obs(op: np.ndarray) -> qml.operation.Operator:
     """Returns a PennyLane observable from a bitstring representation.
 
     Args:
@@ -158,6 +159,7 @@ def penn_obs(op: np.ndarray) -> qml.operation.Observable:
                 obs @= qml.Z(i)
     return obs
 
+
 def penn_iqp_circuit(params: np.ndarray, gates: list, op: np.ndarray, n_qubits: int) -> qml.measurements.ExpectationMP:
     """Defines the circuit that calculates the expectation value of the operator with the IQP circuit with PennyLane tools.
 
@@ -594,22 +596,22 @@ def loss_fn(params, circuit, ops, n_samples, key):
 #
 # .. [#nest]
 #
-#    M. Van den Nest.   
+#    M. Van den Nest.
 #    "Simulating quantum computers with probabilistic methods"
 #    `arXiv:0911.1624 <https://arxiv.org/abs/0911.1624>`__, 2010.
 #
 # .. [#gretton]
 #
-#    Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander Smola. 
+#    Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander Smola.
 #    "A Kernel Two-Sample Test"
 #    `http://jmlr.org/papers/v13/gretton12a.html <http://jmlr.org/papers/v13/gretton12a.html>`__, in Journal of Machine Learning Research 13.25, pp. 723-773, 2012.
 #
 # .. [#ravuri]
 #
-#    Suman Ravuri, Mélanie Rey, Shakir Mohamed, Marc Peter Deisenroth. 
+#    Suman Ravuri, Mélanie Rey, Shakir Mohamed, Marc Peter Deisenroth.
 #    "Understanding Deep Generative Models with Generalized Empirical Likelihoods"
 #    `arXiv:2306.09780 <https://arxiv.org/abs/2306.09780>`__, 2023.
-# 
+#
 # About the authors
 # ----------------
-# 
\ No newline at end of file
+#
diff --git a/demonstrations/tutorial_pasqal.metadata.json b/demonstrations/tutorial_pasqal.metadata.json
index f5decd0ac3..bcafc117f7 100644
--- a/demonstrations/tutorial_pasqal.metadata.json
+++ b/demonstrations/tutorial_pasqal.metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2020-10-13T00:00:00+00:00",
-    "dateOfLastModification": "2024-10-07T00:00:00+00:00",
+    "dateOfLastModification": "2025-06-10T00:00:00+00:00",
     "categories": [
         "Quantum Hardware",
         "Quantum Computing"
diff --git a/demonstrations/tutorial_pasqal.py b/demonstrations/tutorial_pasqal.py
index b49898f392..5bc8ae70e5 100644
--- a/demonstrations/tutorial_pasqal.py
+++ b/demonstrations/tutorial_pasqal.py
@@ -320,10 +320,13 @@ def cost():
     output = (-circuit(weights, data) + 1) / 2
     return tf.abs(output - label) ** 2
 
-opt = tf.keras.optimizers.Adam(learning_rate=0.1)
+opt = tf.optimizers.Adam(learning_rate=0.1)
 
 for step in range(100):
-    opt.minimize(cost, [weights])
+    with tf.GradientTape() as tape:
+        loss_value = cost()
+    gradients = tape.gradient(loss_value, [weights])
+    opt.apply_gradients(zip(gradients, [weights]))
     if step % 5 == 0:
         print("Step {}: cost={}".format(step, cost()))
 
diff --git a/demonstrations/tutorial_zne_catalyst.metadata.json b/demonstrations/zne_catalyst.metadata.json
similarity index 100%
rename from demonstrations/tutorial_zne_catalyst.metadata.json
rename to demonstrations/zne_catalyst.metadata.json
diff --git a/demonstrations/tutorial_zne_catalyst.py b/demonstrations/zne_catalyst.py
similarity index 100%
rename from demonstrations/tutorial_zne_catalyst.py
rename to demonstrations/zne_catalyst.py
diff --git a/poetry.lock b/poetry.lock
index d1d8ad9aa0..4babb25223 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
 
 [[package]]
 name = "absl-py"
@@ -6,6 +6,7 @@ version = "2.3.0"
 description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "absl_py-2.3.0-py3-none-any.whl", hash = "sha256:9824a48b654a306168f63e0d97714665f8490b8d89ec7bf2efc24bf67cf579b3"},
     {file = "absl_py-2.3.0.tar.gz", hash = "sha256:d96fda5c884f1b22178852f30ffa85766d50b99e00775ea626c23304f582fc4f"},
@@ -17,6 +18,7 @@ version = "24.1.0"
 description = "File support for asyncio."
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"},
     {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"},
@@ -28,6 +30,7 @@ version = "3.9.5"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "aiohttp-3.9.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:fcde4c397f673fdec23e6b05ebf8d4751314fa7c24f93334bf1f1364c1c69ac7"},
     {file = "aiohttp-3.9.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d6b3f1fabe465e819aed2c421a6743d8debbde79b6a8600739300630a01bf2c"},
@@ -116,7 +119,7 @@ multidict = ">=4.5,<7.0"
 yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "brotlicffi"]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 
 [[package]]
 name = "aiosignal"
@@ -124,6 +127,7 @@ version = "1.3.2"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
     {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
@@ -138,6 +142,7 @@ version = "0.7.16"
 description = "A light, configurable Sphinx theme"
 optional = false
 python-versions = ">=3.9"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "alabaster-0.7.16-py3-none-any.whl", hash = "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92"},
     {file = "alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65"},
@@ -149,6 +154,7 @@ version = "1.16.1"
 description = "A database migration tool for SQLAlchemy."
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "alembic-1.16.1-py3-none-any.whl", hash = "sha256:0cdd48acada30d93aa1035767d67dff25702f8de74d7c3919f2e8492c8db2e67"},
     {file = "alembic-1.16.1.tar.gz", hash = "sha256:43d37ba24b3d17bc1eb1024fe0f51cd1dc95aeb5464594a02c6bb9ca9864bfa4"},
@@ -169,6 +175,7 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -180,6 +187,7 @@ version = "4.9.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c"},
     {file = "anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028"},
@@ -193,7 +201,7 @@ typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
 doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
-test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
+test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -202,6 +210,7 @@ version = "1.4.4"
 description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 optional = false
 python-versions = "*"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
@@ -213,6 +222,7 @@ version = "1.3.0"
 description = "Better dates & times for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["metadata-validation"]
 files = [
     {file = "arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80"},
     {file = "arrow-1.3.0.tar.gz", hash = "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85"},
@@ -232,6 +242,7 @@ version = "3.0.0"
 description = "Annotate AST trees with source code positions"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"},
     {file = "asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7"},
@@ -247,6 +258,7 @@ version = "1.6.3"
 description = "An AST unparser for Python"
 optional = false
 python-versions = "*"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"},
     {file = "astunparse-1.6.3.tar.gz", hash = "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872"},
@@ -262,6 +274,7 @@ version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.7"
+groups = ["executable-dependencies"]
 files = [
     {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
     {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
@@ -273,18 +286,19 @@ version = "25.3.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "executable-dependencies", "metadata-validation"]
 files = [
     {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"},
     {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"},
 ]
 
 [package.extras]
-benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
 docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"]
-tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
+tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
 
 [[package]]
 name = "authlib"
@@ -292,6 +306,7 @@ version = "1.6.0"
 description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients."
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "authlib-1.6.0-py2.py3-none-any.whl", hash = "sha256:91685589498f79e8655e8a8947431ad6288831d643f11c55c2143ffcc738048d"},
     {file = "authlib-1.6.0.tar.gz", hash = "sha256:4367d32031b7af175ad3a323d571dc7257b7099d55978087ceae4a0d88cd3210"},
@@ -306,6 +321,7 @@ version = "1.8.0"
 description = "Efficiently computes derivatives of NumPy code."
 optional = false
 python-versions = ">=3.9"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "autograd-1.8.0-py3-none-any.whl", hash = "sha256:4ab9084294f814cf56c280adbe19612546a35574d67c574b04933c7d2ecb7d78"},
     {file = "autograd-1.8.0.tar.gz", hash = "sha256:107374ded5b09fc8643ac925348c0369e7b0e73bbed9565ffd61b8fd04425683"},
@@ -324,6 +340,7 @@ version = "0.7.1"
 description = "Abstract your array operations."
 optional = false
 python-versions = ">=3.9"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "autoray-0.7.1-py3-none-any.whl", hash = "sha256:36bbcac072771039073d896eb3e73cedbe41b879e247b6ec3c70781ce9afc720"},
     {file = "autoray-0.7.1.tar.gz", hash = "sha256:e5af6c62ba7c3be8a36b2ab19e344c715f3478d39a0e47755aad365572bc90f8"},
@@ -339,13 +356,14 @@ version = "2.17.0"
 description = "Internationalization utilities"
 optional = false
 python-versions = ">=3.8"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2"},
     {file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"},
 ]
 
 [package.extras]
-dev = ["backports.zoneinfo", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata"]
+dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""]
 
 [[package]]
 name = "bidict"
@@ -353,6 +371,7 @@ version = "0.23.1"
 description = "The bidirectional mapping library for Python."
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "bidict-0.23.1-py3-none-any.whl", hash = "sha256:5dae8d4d79b552a71cbabc7deb25dfe8ce710b17ff41711e13010ead2abfc3e5"},
     {file = "bidict-0.23.1.tar.gz", hash = "sha256:03069d763bc387bbd20e7d49914e75fc4132a41937fa3405417e1a5a2d006d71"},
@@ -364,6 +383,7 @@ version = "0.9.3b1"
 description = "Python SDK to BlueQubit app"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "bluequbit-0.9.3b1-py3-none-any.whl", hash = "sha256:2b9130ccced25b81b81fbef40247294c3804b14026aafbf0bac1ee795a545977"},
     {file = "bluequbit-0.9.3b1.tar.gz", hash = "sha256:d695862ae350040ceadb2dc6dd78c0b10626b1b00b6d061fb1a0ed2ec568f788"},
@@ -381,6 +401,7 @@ version = "1.2.2.post1"
 description = "A simple, correct Python build frontend"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "build-1.2.2.post1-py3-none-any.whl", hash = "sha256:1d61c0887fa860c01971625baae8bdd338e517b836a2f70dd1f7aa3a6b2fc5b5"},
     {file = "build-1.2.2.post1.tar.gz", hash = "sha256:b36993e92ca9375a219c99e606a122ff365a760a2d4bba0caa09bd5278b608b7"},
@@ -395,7 +416,7 @@ tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 docs = ["furo (>=2023.08.17)", "sphinx (>=7.0,<8.0)", "sphinx-argparse-cli (>=1.5)", "sphinx-autodoc-typehints (>=1.10)", "sphinx-issues (>=3.0.0)"]
-test = ["build[uv,virtualenv]", "filelock (>=3)", "pytest (>=6.2.4)", "pytest-cov (>=2.12)", "pytest-mock (>=2)", "pytest-rerunfailures (>=9.1)", "pytest-xdist (>=1.34)", "setuptools (>=42.0.0)", "setuptools (>=56.0.0)", "setuptools (>=56.0.0)", "setuptools (>=67.8.0)", "wheel (>=0.36.0)"]
+test = ["build[uv,virtualenv]", "filelock (>=3)", "pytest (>=6.2.4)", "pytest-cov (>=2.12)", "pytest-mock (>=2)", "pytest-rerunfailures (>=9.1)", "pytest-xdist (>=1.34)", "setuptools (>=42.0.0) ; python_version < \"3.10\"", "setuptools (>=56.0.0) ; python_version == \"3.10\"", "setuptools (>=56.0.0) ; python_version == \"3.11\"", "setuptools (>=67.8.0) ; python_version >= \"3.12\"", "wheel (>=0.36.0)"]
 typing = ["build[uv]", "importlib-metadata (>=5.1)", "mypy (>=1.9.0,<1.10.0)", "tomli", "typing-extensions (>=3.7.4.3)"]
 uv = ["uv (>=0.1.18)"]
 virtualenv = ["virtualenv (>=20.0.35)"]
@@ -406,6 +427,7 @@ version = "0.14.3"
 description = "httplib2 caching for requests"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "cachecontrol-0.14.3-py3-none-any.whl", hash = "sha256:b35e44a3113f17d2a31c1e6b27b9de6d4405f84ae51baa8c1d3cc5b633010cae"},
     {file = "cachecontrol-0.14.3.tar.gz", hash = "sha256:73e7efec4b06b20d9267b441c1f733664f989fb8688391b670ca812d70795d11"},
@@ -427,6 +449,7 @@ version = "6.0.0"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.9"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "cachetools-6.0.0-py3-none-any.whl", hash = "sha256:82e73ba88f7b30228b5507dce1a1f878498fc669d972aef2dde4f3a3c24f103e"},
     {file = "cachetools-6.0.0.tar.gz", hash = "sha256:f225782b84438f828328fc2ad74346522f27e5b1440f4e9fd18b20ebfd1aa2cf"},
@@ -438,6 +461,7 @@ version = "2025.4.26"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "base", "executable-dependencies", "metadata-validation"]
 files = [
     {file = "certifi-2025.4.26-py3-none-any.whl", hash = "sha256:30350364dfe371162649852c63336a15c70c6510c2ad5015b21c2345311805f3"},
     {file = "certifi-2025.4.26.tar.gz", hash = "sha256:0a816057ea3cdefcef70270d2c515e4506bbc954f417fa5ade2021213bb8f0c6"},
@@ -449,6 +473,7 @@ version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "executable-dependencies"]
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
     {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
@@ -518,6 +543,7 @@ files = [
     {file = "cffi-1.17.1-cp39-cp39-win_amd64.whl", hash = "sha256:d016c76bdd850f3c626af19b0542c9677ba156e4ee4fccfdd7848803533ef662"},
     {file = "cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824"},
 ]
+markers = {main = "sys_platform == \"linux\" and platform_python_implementation != \"PyPy\" or sys_platform == \"darwin\""}
 
 [package.dependencies]
 pycparser = "*"
@@ -528,6 +554,7 @@ version = "3.4.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "base", "executable-dependencies", "metadata-validation"]
 files = [
     {file = "charset_normalizer-3.4.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7c48ed483eb946e6c04ccbe02c6b4d1d48e51944b6db70f697e089c193404941"},
     {file = "charset_normalizer-3.4.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b2d318c11350e10662026ad0eb71bb51c7812fc8590825304ae0bdd4ac283acd"},
@@ -629,6 +656,7 @@ version = "0.23.3"
 description = "A jsonschema CLI and pre-commit hook"
 optional = false
 python-versions = ">=3.7"
+groups = ["metadata-validation"]
 files = [
     {file = "check-jsonschema-0.23.3.tar.gz", hash = "sha256:6b174599b5f1a208e7b22b3d1698708a6d948a2a90ab3413a025e5c0217ee056"},
     {file = "check_jsonschema-0.23.3-py3-none-any.whl", hash = "sha256:416d2a4be5e8a4a102074131e620b4262b2f1b494635a02792c4a008483794ca"},
@@ -650,6 +678,7 @@ version = "0.1.89"
 description = "Chex: Testing made fun, in JAX!"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "chex-0.1.89-py3-none-any.whl", hash = "sha256:145241c27d8944adb634fb7d472a460e1c1b643f561507d4031ad5156ef82dfa"},
     {file = "chex-0.1.89.tar.gz", hash = "sha256:78f856e6a0a8459edfcbb402c2c044d2b8102eac4b633838cbdfdcdb09c6c8e0"},
@@ -669,6 +698,7 @@ version = "1.4.1"
 description = "A framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits."
 optional = false
 python-versions = ">=3.10.0"
+groups = ["executable-dependencies"]
 files = [
     {file = "cirq_core-1.4.1-py3-none-any.whl", hash = "sha256:869db60413265c41a8206854c1d4ca9bad5fac9cfd7c6a10685b5a6d516defa0"},
 ]
@@ -695,6 +725,7 @@ version = "1.4.1"
 description = "A Cirq package to simulate and connect to Pasqal quantum computers"
 optional = false
 python-versions = ">=3.10.0"
+groups = ["executable-dependencies"]
 files = [
     {file = "cirq_pasqal-1.4.1-py3-none-any.whl", hash = "sha256:eb0cdad9f33159e436f38bf761bbacaebebb70c0a3a3bd0e7dfb08d079869489"},
 ]
@@ -709,6 +740,7 @@ version = "0.11.0"
 description = "Clarabel Conic Interior Point Solver for Rust / Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "clarabel-0.11.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:e7cdc7ff5bebf04999fb990b740b7a9ec6e266382af406c8aa75aa3031ed219a"},
     {file = "clarabel-0.11.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:85bb474ba3c590fac47985d3dd19519ea247b77b62f1e1afb93c728799a594a2"},
@@ -729,6 +761,7 @@ version = "2.1.0"
 description = "Cleo allows you to create beautiful and testable command-line interfaces."
 optional = false
 python-versions = ">=3.7,<4.0"
+groups = ["main"]
 files = [
     {file = "cleo-2.1.0-py3-none-any.whl", hash = "sha256:4a31bd4dd45695a64ee3c4758f583f134267c2bc518d8ae9a29cf237d009b07e"},
     {file = "cleo-2.1.0.tar.gz", hash = "sha256:0b2c880b5d13660a7ea651001fb4acb527696c01f15c9ee650f377aa543fd523"},
@@ -744,6 +777,7 @@ version = "8.2.1"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.10"
+groups = ["main", "executable-dependencies", "metadata-validation"]
 files = [
     {file = "click-8.2.1-py3-none-any.whl", hash = "sha256:61a3265b914e850b85317d0b3109c7f8cd35a670f963866005d6ef1d5175a12b"},
     {file = "click-8.2.1.tar.gz", hash = "sha256:27c491cc05d968d271d5a1db13e3b5a184636d9d930f148c50b038f0d0646202"},
@@ -758,6 +792,7 @@ version = "3.1.1"
 description = "Pickler class to extend the standard pickle.Pickler functionality"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "cloudpickle-3.1.1-py3-none-any.whl", hash = "sha256:c8c5a44295039331ee9dad40ba100a9c7297b6f988e50e87ccdf3765a668350e"},
     {file = "cloudpickle-3.1.1.tar.gz", hash = "sha256:b216fa8ae4019d5482a8ac3c95d8f6346115d8835911fd4aefd1a445e4242c64"},
@@ -769,10 +804,12 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main", "base", "executable-dependencies", "metadata-validation"]
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
+markers = {main = "platform_system == \"Windows\" or os_name == \"nt\"", base = "sys_platform == \"win32\"", executable-dependencies = "platform_system == \"Windows\" or sys_platform == \"win32\"", metadata-validation = "platform_system == \"Windows\""}
 
 [[package]]
 name = "contourpy"
@@ -780,6 +817,7 @@ version = "1.3.2"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 optional = false
 python-versions = ">=3.10"
+groups = ["executable-dependencies"]
 files = [
     {file = "contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934"},
     {file = "contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989"},
@@ -856,6 +894,7 @@ version = "0.7.4"
 description = "Hyper optimized contraction trees for large tensor networks and einsums."
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "cotengra-0.7.4-py3-none-any.whl", hash = "sha256:a161af1f180558c950918f37e691ec2b9091f49aae83c37a174625f2776c5c90"},
     {file = "cotengra-0.7.4.tar.gz", hash = "sha256:89a01d1d0e025cb6a477fafc318955859067c17c67562de933340c7506c453d7"},
@@ -875,6 +914,7 @@ version = "0.227.0rc0"
 description = "Covalent Workflow Tool"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "covalent-0.227.0rc0.tar.gz", hash = "sha256:a09a13f930cbe071c9f44dffb2b8ee971b8397a0266d0c07924f8add656f4915"},
 ]
@@ -917,6 +957,7 @@ version = "0.4.1"
 description = "Manage Python errors with ease"
 optional = false
 python-versions = ">=3.7,<4.0"
+groups = ["main"]
 files = [
     {file = "crashtest-0.4.1-py3-none-any.whl", hash = "sha256:8d23eac5fa660409f57472e3851dab7ac18aba459a8d19cbbba86d3d5aecd2a5"},
     {file = "crashtest-0.4.1.tar.gz", hash = "sha256:80d7b1f316ebfbd429f648076d6275c877ba30ba48979de4191714a75266f0ce"},
@@ -928,6 +969,7 @@ version = "45.0.3"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = "!=3.9.0,!=3.9.1,>=3.7"
+groups = ["main", "executable-dependencies"]
 files = [
     {file = "cryptography-45.0.3-cp311-abi3-macosx_10_9_universal2.whl", hash = "sha256:7573d9eebaeceeb55285205dbbb8753ac1e962af3d9640791d12b36864065e71"},
     {file = "cryptography-45.0.3-cp311-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d377dde61c5d67eb4311eace661c3efda46c62113ff56bf05e2d679e02aebb5b"},
@@ -967,15 +1009,16 @@ files = [
     {file = "cryptography-45.0.3-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:9eda14f049d7f09c2e8fb411dda17dd6b16a3c76a1de5e249188a32aeb92de19"},
     {file = "cryptography-45.0.3.tar.gz", hash = "sha256:ec21313dd335c51d7877baf2972569f40a4291b76a0ce51391523ae358d05899"},
 ]
+markers = {main = "sys_platform == \"linux\""}
 
 [package.dependencies]
 cffi = {version = ">=1.14", markers = "platform_python_implementation != \"PyPy\""}
 
 [package.extras]
-docs = ["sphinx (>=5.3.0)", "sphinx-inline-tabs", "sphinx-rtd-theme (>=3.0.0)"]
+docs = ["sphinx (>=5.3.0)", "sphinx-inline-tabs ; python_full_version >= \"3.8.0\"", "sphinx-rtd-theme (>=3.0.0) ; python_full_version >= \"3.8.0\""]
 docstest = ["pyenchant (>=3)", "readme-renderer (>=30.0)", "sphinxcontrib-spelling (>=7.3.1)"]
-nox = ["nox (>=2024.4.15)", "nox[uv] (>=2024.3.2)"]
-pep8test = ["check-sdist", "click (>=8.0.1)", "mypy (>=1.4)", "ruff (>=0.3.6)"]
+nox = ["nox (>=2024.4.15)", "nox[uv] (>=2024.3.2) ; python_full_version >= \"3.8.0\""]
+pep8test = ["check-sdist ; python_full_version >= \"3.8.0\"", "click (>=8.0.1)", "mypy (>=1.4)", "ruff (>=0.3.6)"]
 sdist = ["build (>=1.0.0)"]
 ssh = ["bcrypt (>=3.1.5)"]
 test = ["certifi (>=2024)", "cryptography-vectors (==45.0.3)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
@@ -987,6 +1030,7 @@ version = "1.6.5"
 description = "A domain-specific language for modeling convex optimization problems in Python."
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "cvxpy-1.6.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:26ac571ffed3f98ad59c2ddfb88eaad7280003faa96b5f509c353e46fb79e787"},
     {file = "cvxpy-1.6.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b35a3b5c6c7b43b85179ee77d895ac7a49afdccbe7ebcf60f5f74cd9186cedd8"},
@@ -1052,6 +1096,7 @@ version = "0.12.1"
 description = "Composable style cycles"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
     {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
@@ -1067,6 +1112,7 @@ version = "1.0.1"
 description = "Cython implementation of Toolz: High performance functional utilities"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "cytoolz-1.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:cec9af61f71fc3853eb5dca3d42eb07d1f48a4599fa502cbe92adde85f74b042"},
     {file = "cytoolz-1.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:140bbd649dbda01e91add7642149a5987a7c3ccc251f2263de894b89f50b6608"},
@@ -1182,6 +1228,7 @@ version = "2025.5.1"
 description = "Parallel PyData with Task Scheduling"
 optional = false
 python-versions = ">=3.10"
+groups = ["executable-dependencies"]
 files = [
     {file = "dask-2025.5.1-py3-none-any.whl", hash = "sha256:3b85fdaa5f6f989dde49da6008415b1ae996985ebdfb1e40de2c997d9010371d"},
     {file = "dask-2025.5.1.tar.gz", hash = "sha256:979d9536549de0e463f4cab8a8c66c3a2ef55791cd740d07d9bf58fab1d1076a"},
@@ -1212,6 +1259,7 @@ version = "5.2.1"
 description = "Decorators for Humans"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a"},
     {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"},
@@ -1223,6 +1271,7 @@ version = "2.1.0"
 description = "A library to handle automated deprecations"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "deprecation-2.1.0-py2.py3-none-any.whl", hash = "sha256:a10811591210e1fb0e768a8c25517cabeabcba6f0bf96564f8ff45189f90b14a"},
     {file = "deprecation-2.1.0.tar.gz", hash = "sha256:72b3bde64e5d778694b0cf68178aed03d15e15477116add3fb773e581f9518ff"},
@@ -1237,6 +1286,7 @@ version = "2.15.2"
 description = "A library for Python operator overloading"
 optional = false
 python-versions = ">=3.9"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "diastatic-malt-2.15.2.tar.gz", hash = "sha256:7eb90d8c30b7ff16b4e84c3a65de2ff7f5b7b9d0f5cdea23918e747ff7fb5320"},
     {file = "diastatic_malt-2.15.2-py3-none-any.whl", hash = "sha256:85429257b356030f101c31b2c7d506c4829f21bd865aed796766f900d7908407"},
@@ -1253,6 +1303,7 @@ version = "0.4.0"
 description = "serialize all of Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "dill-0.4.0-py3-none-any.whl", hash = "sha256:44f54bf6412c2c8464c14e8243eb163690a9800dbe2c367330883b19c7561049"},
     {file = "dill-0.4.0.tar.gz", hash = "sha256:0633f1d2df477324f53a895b02c901fb961bdbf65a17122586ea7019292cbcf0"},
@@ -1268,6 +1319,7 @@ version = "0.12.15"
 description = "A shared API for binary quadratic model samplers."
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "dimod-0.12.15-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5586b7670dc6c4e9efa40a9d1ba6d0f66f0a78d240613a910cb6a461ea7ba47a"},
     {file = "dimod-0.12.15-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:da7f46b93a294e8b315ef192e7fb8a39583016745d83d5c5bfeba3e54810283f"},
@@ -1306,6 +1358,7 @@ version = "5.6.3"
 description = "Disk Cache -- Disk and file backed persistent cache."
 optional = false
 python-versions = ">=3"
+groups = ["executable-dependencies"]
 files = [
     {file = "diskcache-5.6.3-py3-none-any.whl", hash = "sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19"},
     {file = "diskcache-5.6.3.tar.gz", hash = "sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc"},
@@ -1317,6 +1370,7 @@ version = "0.3.9"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "distlib-0.3.9-py2.py3-none-any.whl", hash = "sha256:47f8c22fd27c27e25a65601af709b38e4f0a45ea4fc2e710f65755fa8caaaf87"},
     {file = "distlib-0.3.9.tar.gz", hash = "sha256:a60f20dea646b8a33f3e7772f74dc0b2d0772d2837ee1342a00645c81edf9403"},
@@ -1328,6 +1382,7 @@ version = "2025.5.1"
 description = "Distributed scheduler for Dask"
 optional = false
 python-versions = ">=3.10"
+groups = ["executable-dependencies"]
 files = [
     {file = "distributed-2025.5.1-py3-none-any.whl", hash = "sha256:74782b965ddb24ce59c6441fa777e944b5962d82325cc41f228537b59bb7fbbe"},
     {file = "distributed-2025.5.1.tar.gz", hash = "sha256:cf1d62a2c17a0a9fc1544bd10bb7afd39f22f24aaa9e3df3209c44d2cfb16703"},
@@ -1356,6 +1411,7 @@ version = "0.1.9"
 description = "Tree is a library for working with nested data structures."
 optional = false
 python-versions = ">=3.10"
+groups = ["executable-dependencies"]
 files = [
     {file = "dm_tree-0.1.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5d5b28ee2e461b6af65330c143806a6d0945dcabbb8d22d2ba863e6dabd9254e"},
     {file = "dm_tree-0.1.9-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:54d5616015412311df154908069fcf2c2d8786f6088a2ae3554d186cdf2b1e15"},
@@ -1391,6 +1447,7 @@ version = "2.25.236"
 description = "The IBM Decision Optimization CPLEX Modeling for Python"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "docplex-2.25.236.tar.gz", hash = "sha256:256914b4c0113a4e1c78f32ea20c7d76dc8efe286fe890270e75cfad50fe510f"},
 ]
@@ -1404,6 +1461,7 @@ version = "0.17.1"
 description = "Docutils -- Python Documentation Utilities"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "docutils-0.17.1-py2.py3-none-any.whl", hash = "sha256:cf316c8370a737a022b72b56874f6602acf974a37a9fba42ec2876387549fc61"},
     {file = "docutils-0.17.1.tar.gz", hash = "sha256:686577d2e4c32380bb50cbb22f575ed742d58168cee37e99117a854bcd88f125"},
@@ -1415,6 +1473,7 @@ version = "0.2.9"
 description = "A simple future-based async library for python."
 optional = false
 python-versions = ">=3.9.0"
+groups = ["executable-dependencies"]
 files = [
     {file = "duet-0.2.9-py3-none-any.whl", hash = "sha256:a16088b68b0faee8aee12cdf4d0a8af060ed958badb44f3e32f123f13f64119a"},
     {file = "duet-0.2.9.tar.gz", hash = "sha256:d6fa39582e6a3dce1096c47e5fbcbda648a633eed94a38943e68662afa2587f3"},
@@ -1429,6 +1488,7 @@ version = "0.21.7"
 description = "Python Git Library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "dulwich-0.21.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d4c0110798099bb7d36a110090f2688050703065448895c4f53ade808d889dd3"},
     {file = "dulwich-0.21.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2bc12697f0918bee324c18836053644035362bb3983dc1b210318f2fed1d7132"},
@@ -1516,6 +1576,7 @@ version = "0.12.0"
 description = "A minimal client for interacting with D-Wave cloud resources."
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "dwave-cloud-client-0.12.0.tar.gz", hash = "sha256:9eb8cc3075f1df956e70a8e6ac9aca120892d2100b007db515d9f2b99b01aa45"},
     {file = "dwave_cloud_client-0.12.0-py3-none-any.whl", hash = "sha256:21b45ff1a093c72ed0b4d87f6934e5dae9aaf3574efa285a764164b1210ca4d8"},
@@ -1552,6 +1613,7 @@ version = "0.3.0"
 description = "Ocean-compatible collection of greedy/brute-force solvers/samplers"
 optional = false
 python-versions = ">=3.7"
+groups = ["executable-dependencies"]
 files = [
     {file = "dwave-greedy-0.3.0.tar.gz", hash = "sha256:806c02d6c3f260ef5bf063d4932f43dfb52a0ea00f9db0b0d34d9b15691a011a"},
     {file = "dwave_greedy-0.3.0-py3-none-any.whl", hash = "sha256:34c2d24bf6d4f4d3cee532dbc85c79b7faa4845a7bd51435fc4114d077095f6f"},
@@ -1566,6 +1628,7 @@ version = "0.6.11"
 description = "Hybrid Asynchronous Decomposition Solver Framework"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "dwave-hybrid-0.6.11.tar.gz", hash = "sha256:201230a937f92bd820311bdd6dd6ce8b68ff4e35392fe88e31aa8e41849c4eb9"},
     {file = "dwave_hybrid-0.6.11-py3-none-any.whl", hash = "sha256:2c84c0e999bb6332f2868e28f324aeb6ac0f6faa6741334499b4e45542774a2f"},
@@ -1595,6 +1658,7 @@ version = "0.5.0.post0"
 description = "D-Wave Problem Inspector tool"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "dwave-inspector-0.5.0.post0.tar.gz", hash = "sha256:c36bbc5cc7cb01f0f8168d7e4770f4e28fd468b1c90fc3d1e7c6e7d1ea7c4838"},
     {file = "dwave_inspector-0.5.0.post0-py3-none-any.whl", hash = "sha256:bcb12fd254add32c691875b89614f5345204148d0d2f9ec6a9a20ed5cc92163d"},
@@ -1617,6 +1681,7 @@ version = "0.6.0"
 description = "General Ising graph simulated annealing solver"
 optional = false
 python-versions = ">=3.7"
+groups = ["executable-dependencies"]
 files = [
     {file = "dwave-neal-0.6.0.tar.gz", hash = "sha256:8ce51fee3339195df1ab69920fdb5afc496b5fd945e487fad3547c983d90c564"},
     {file = "dwave_neal-0.6.0-py3-none-any.whl", hash = "sha256:8b7d89f0c52de6ac80e0f580ec272f6409b1cf9edb12250d22429425a13bd935"},
@@ -1631,6 +1696,7 @@ version = "0.8.15"
 description = "A NetworkX extension providing graphs and algorithms relevent to working with the D-Wave System"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "dwave_networkx-0.8.15-py3-none-any.whl", hash = "sha256:e74ac925b8128e78f4eedc8e2cc78c13ca11474b30cc77a7129cc8a16fdc4312"},
     {file = "dwave_networkx-0.8.15.tar.gz", hash = "sha256:ecafcd7d12e257d771b8a0522c6dc8794be310c112d49768c1caf804ab54b423"},
@@ -1647,6 +1713,7 @@ version = "7.0.0"
 description = "Software development kit for open source D-Wave tools"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "dwave_ocean_sdk-7.0.0-py3-none-any.whl", hash = "sha256:d5e9ecb48671eab66dcb79e0be6ea76eecf4c79d0cfb6add6f4e004f8e6bd57a"},
     {file = "dwave_ocean_sdk-7.0.0.tar.gz", hash = "sha256:891e0fb30dd693ce8435eab61ab2490a5101d9c929e26bd4be2a94257c4b71a3"},
@@ -1678,6 +1745,7 @@ version = "0.1.0"
 description = "Enables the formulation of nonlinear models for industrial optimization problems."
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "dwave-optimization-0.1.0.tar.gz", hash = "sha256:585b69026d26e9f99b9c8552a68dae794960cd94582ccdf973d2eb30a6303b9e"},
     {file = "dwave_optimization-0.1.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:d356133dc4f1b8ede0fb2479e8b263084c958d83b8a5e420f02cf522d5aa32b1"},
@@ -1716,6 +1784,7 @@ version = "0.6.5"
 description = "An API for preprocessing tools"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "dwave-preprocessing-0.6.5.tar.gz", hash = "sha256:dc18e544a8b743e1bbc9e776129c0709247d071e7ec44229df48d92bb993a1be"},
     {file = "dwave_preprocessing-0.6.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:86fb8c39c8a8f025683e838b1f23608cd3ab4e3ca7f929f42b3b99036272ebd4"},
@@ -1755,6 +1824,7 @@ version = "1.2.0"
 description = "Ocean-compatible collection of solvers/samplers"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "dwave-samplers-1.2.0.tar.gz", hash = "sha256:b85e3f0486ddc03bfc936791707cf40e07df1a6eb68843d7329e8539fb41b077"},
     {file = "dwave_samplers-1.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:601393f25dd32d11b7f2f12a833b86f16a1500771c6a191c0b2db638d6ecca79"},
@@ -1795,6 +1865,7 @@ version = "1.25.0"
 description = "All things D-Wave System."
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "dwave-system-1.25.0.tar.gz", hash = "sha256:0618f5b63ebe7f04646fc6a02982bee2a0504c7b75ac17693cf85b0dc46a9513"},
     {file = "dwave_system-1.25.0-py3-none-any.whl", hash = "sha256:fe2707ea8911c5a86850ed60b91bcc1fa11e0b0f4300bd8c45bd04ce05b59525"},
@@ -1821,6 +1892,7 @@ version = "0.5.0"
 description = "Optimized Tabu solver for QUBOs"
 optional = false
 python-versions = ">=3.7"
+groups = ["executable-dependencies"]
 files = [
     {file = "dwave-tabu-0.5.0.tar.gz", hash = "sha256:dcc73883ec491dea2656c8239dc66e9c9871e7f75852be57ea4cec6bccd48d54"},
     {file = "dwave_tabu-0.5.0-py3-none-any.whl", hash = "sha256:ce63c4e8cee278cc3b7e82d9c6c7ff6fb84c50cb45eba12dc0e4c299c46eb784"},
@@ -1835,6 +1907,7 @@ version = "0.3.0"
 description = "Solves constraints satisfaction problems with binary quadratic model samplers"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "dwavebinarycsp-0.3.0-py3-none-any.whl", hash = "sha256:04e4ce545d5f6467885436f52b40d247a6ba8e690dbb303d669ea953b789f869"},
     {file = "dwavebinarycsp-0.3.0.tar.gz", hash = "sha256:0e34261e85814bf92dcdacba854c31d2ed4e9f17412bf933810ad6eef3f8e4ef"},
@@ -1851,6 +1924,7 @@ version = "1.12.2"
 description = "Collection of common python utils"
 optional = false
 python-versions = ">=3.10"
+groups = ["executable-dependencies"]
 files = [
     {file = "etils-1.12.2-py3-none-any.whl", hash = "sha256:4600bec9de6cf5cb043a171e1856e38b5f273719cf3ecef90199f7091a6b3912"},
     {file = "etils-1.12.2.tar.gz", hash = "sha256:c6b9e1f0ce66d1bbf54f99201b08a60ba396d3446d9eb18d4bc39b26a2e1a5ee"},
@@ -1888,6 +1962,7 @@ version = "1.3.0"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
+groups = ["executable-dependencies"]
 files = [
     {file = "exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10"},
     {file = "exceptiongroup-1.3.0.tar.gz", hash = "sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88"},
@@ -1905,13 +1980,14 @@ version = "2.2.0"
 description = "Get the currently executing AST node of a frame, and other information"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "executing-2.2.0-py2.py3-none-any.whl", hash = "sha256:11387150cad388d62750327a53d3339fad4888b39a6fe233c3afbb54ecffd3aa"},
     {file = "executing-2.2.0.tar.gz", hash = "sha256:5d108c028108fe2551d1a7b2e8b713341e2cb4fc0aa7dcf966fa4327a5226755"},
 ]
 
 [package.extras]
-tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
+tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich ; python_version >= \"3.11\""]
 
 [[package]]
 name = "fastapi"
@@ -1919,6 +1995,7 @@ version = "0.115.12"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "fastapi-0.115.12-py3-none-any.whl", hash = "sha256:e94613d6c05e27be7ffebdd6ea5f388112e5e430c8f7d6494a9d1d88d43e814d"},
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@@ -1939,6 +2016,7 @@ version = "0.19"
 description = "A python package that provides useful locks"
 optional = false
 python-versions = ">=3.6"
+groups = ["executable-dependencies"]
 files = [
     {file = "fasteners-0.19-py3-none-any.whl", hash = "sha256:758819cb5d94cdedf4e836988b74de396ceacb8e2794d21f82d131fd9ee77237"},
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@@ -1950,6 +2028,7 @@ version = "2.21.1"
 description = "Fastest Python implementation of JSON schema"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "fastjsonschema-2.21.1-py3-none-any.whl", hash = "sha256:c9e5b7e908310918cf494a434eeb31384dd84a98b57a30bcb1f535015b554667"},
     {file = "fastjsonschema-2.21.1.tar.gz", hash = "sha256:794d4f0a58f848961ba16af7b9c85a3e88cd360df008c59aac6fc5ae9323b5d4"},
@@ -1964,6 +2043,7 @@ version = "3.18.0"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "executable-dependencies"]
 files = [
     {file = "filelock-3.18.0-py3-none-any.whl", hash = "sha256:c401f4f8377c4464e6db25fff06205fd89bdd83b65eb0488ed1b160f780e21de"},
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@@ -1972,7 +2052,7 @@ files = [
 [package.extras]
 docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
-typing = ["typing-extensions (>=4.12.2)"]
+typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
 
 [[package]]
 name = "flamingpy"
@@ -1980,6 +2060,8 @@ version = "0.10.1b1"
 description = "FlamingPy is a cross-platform Python library with a variety of backends for efficient simulations of error correction in fault-tolerant quantum computers."
 optional = false
 python-versions = ">=3.8,!=3.11.*"
+groups = ["executable-dependencies"]
+markers = "platform_machine == \"x86_64\""
 files = [
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@@ -2007,6 +2089,7 @@ version = "2.2.5"
 description = "A simple framework for building complex web applications."
 optional = false
 python-versions = ">=3.7"
+groups = ["executable-dependencies"]
 files = [
     {file = "Flask-2.2.5-py3-none-any.whl", hash = "sha256:58107ed83443e86067e41eff4631b058178191a355886f8e479e347fa1285fdf"},
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@@ -2028,6 +2111,8 @@ version = "25.2.10"
 description = "The FlatBuffers serialization format for Python"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
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@@ -2039,6 +2124,7 @@ version = "0.9.0"
 description = "Flax: A neural network library for JAX designed for flexibility"
 optional = false
 python-versions = ">=3.10"
+groups = ["executable-dependencies"]
 files = [
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@@ -2058,72 +2144,81 @@ typing-extensions = ">=4.2"
 all = ["matplotlib"]
 dev = ["pre-commit (>=3.8.0)"]
 docs = ["Pygments (>=2.6.1)", "dm-haiku", "docutils (==0.16)", "einops", "ipykernel", "ipython-genutils", "jupytext (==1.13.8)", "matplotlib", "ml-collections", "myst-nb", "nbstripout", "recommonmark", "scikit-learn", "sphinx (>=3.3.1)", "sphinx-book-theme", "sphinx-design"]
-testing = ["clu", "clu (<=0.0.9)", "einops", "gymnasium[accept-rom-license,atari]", "jaxlib", "jaxtyping", "jraph (>=0.0.6dev0)", "ml-collections", "mypy", "opencv-python", "pytest", "pytest-cov", "pytest-custom-exit-code", "pytest-xdist", "pytype", "sentencepiece", "tensorflow (>=2.12.0)", "tensorflow-datasets", "tensorflow-text (>=2.11.0)", "torch", "treescope (>=0.1.1)"]
+testing = ["clu", "clu (<=0.0.9) ; python_version < \"3.10\"", "einops", "gymnasium[accept-rom-license,atari]", "jaxlib", "jaxtyping", "jraph (>=0.0.6dev0)", "ml-collections", "mypy", "opencv-python", "pytest", "pytest-cov", "pytest-custom-exit-code", "pytest-xdist", "pytype", "sentencepiece", "tensorflow (>=2.12.0)", "tensorflow-datasets", "tensorflow-text (>=2.11.0) ; platform_system != \"Darwin\"", "torch", "treescope (>=0.1.1) ; python_version >= \"3.10\""]
 
 [[package]]
 name = "fonttools"
-version = "4.58.1"
+version = "4.56.0"
 description = "Tools to manipulate font files"
 optional = false
-python-versions = ">=3.9"
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 plot = ["matplotlib"]
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 symfont = ["sympy"]
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 ufo = ["fs (>=2.2.0,<3)"]
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 name = "fqdn"
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 optional = false
 python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4"
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 files = [
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 description = "A simple immutable dictionary"
 optional = false
 python-versions = ">=3.6"
+groups = ["executable-dependencies"]
 files = [
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 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = false
 python-versions = ">=3.9"
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 files = [
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@@ -2303,6 +2401,7 @@ version = "2024.6.1"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
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 files = [
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 description = "URL manipulation made simple."
 optional = false
 python-versions = "*"
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 files = [
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 description = "Python AST that abstracts the underlying Python version"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
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 files = [
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-
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-tool = ["click (>=6.0.0)"]
-
 [[package]]
 name = "google-pasta"
 version = "0.2.0"
 description = "pasta is an AST-based Python refactoring library"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
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@@ -2414,66 +2482,86 @@ six = "*"
 
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+]
+
+[package.extras]
+protobuf = ["grpcio-tools (>=1.70.0)"]
 
 [[package]]
 name = "h11"
@@ -2549,6 +2643,7 @@ version = "0.16.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "h11-0.16.0-py3-none-any.whl", hash = "sha256:63cf8bbe7522de3bf65932fda1d9c2772064ffb3dae62d55932da54b31cb6c86"},
     {file = "h11-0.16.0.tar.gz", hash = "sha256:4e35b956cf45792e4caa5885e69fba00bdbc6ffafbfa020300e549b208ee5ff1"},
@@ -2560,6 +2655,7 @@ version = "3.11.0"
 description = "Read and write HDF5 files from Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "h5py-3.11.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1625fd24ad6cfc9c1ccd44a66dac2396e7ee74940776792772819fc69f3a3731"},
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@@ -2593,6 +2689,7 @@ version = "1.0.1"
 description = "A platform independent API for paths in which applications can write data."
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "homebase-1.0.1-py2.py3-none-any.whl", hash = "sha256:d64c97f60a8ddd94ce8702bac65ed5d1996aca01a17d1e53e6ad5149e2f8b5b5"},
     {file = "homebase-1.0.1.tar.gz", hash = "sha256:9ee008df4298b420852d815e6df488822229c4bd8d571bcd0a454e04232c635e"},
@@ -2604,6 +2701,7 @@ version = "0.6.4"
 description = "A collection of framework independent HTTP protocol utils."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["executable-dependencies"]
 files = [
     {file = "httptools-0.6.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3c73ce323711a6ffb0d247dcd5a550b8babf0f757e86a52558fe5b86d6fefcc0"},
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@@ -2653,12 +2751,28 @@ files = [
 [package.extras]
 test = ["Cython (>=0.29.24)"]
 
+[[package]]
+name = "humanize"
+version = "4.12.3"
+description = "Python humanize utilities"
+optional = false
+python-versions = ">=3.9"
+groups = ["executable-dependencies"]
+files = [
+    {file = "humanize-4.12.3-py3-none-any.whl", hash = "sha256:2cbf6370af06568fa6d2da77c86edb7886f3160ecd19ee1ffef07979efc597f6"},
+    {file = "humanize-4.12.3.tar.gz", hash = "sha256:8430be3a615106fdfceb0b2c1b41c4c98c6b0fc5cc59663a5539b111dd325fb0"},
+]
+
+[package.extras]
+tests = ["freezegun", "pytest", "pytest-cov"]
+
 [[package]]
 name = "ibm-cloud-sdk-core"
 version = "3.24.1"
 description = "Core library used by SDKs for IBM Cloud Services"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "ibm_cloud_sdk_core-3.24.1-py3-none-any.whl", hash = "sha256:28eb70379977bac15318a07634e4b56d9de671186090d8accec180b77ffb7969"},
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@@ -2680,6 +2794,7 @@ version = "0.66.1"
 description = "Python client library for IBM Cloud Platform Services"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "ibm_platform_services-0.66.1-py3-none-any.whl", hash = "sha256:a8865d5d0e6078a4f9edeb4945b0454b4495514b1054eb22f2cf53309dfb347b"},
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@@ -2698,6 +2813,7 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "base", "executable-dependencies", "metadata-validation"]
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
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@@ -2712,6 +2828,7 @@ version = "1.4.1"
 description = "Getting image size from png/jpeg/jpeg2000/gif file"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "imagesize-1.4.1-py2.py3-none-any.whl", hash = "sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b"},
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@@ -2723,6 +2840,7 @@ version = "8.7.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "executable-dependencies"]
 files = [
     {file = "importlib_metadata-8.7.0-py3-none-any.whl", hash = "sha256:e5dd1551894c77868a30651cef00984d50e1002d06942a7101d34870c5f02afd"},
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@@ -2732,12 +2850,12 @@ files = [
 zipp = ">=3.20"
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib_resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
 type = ["pytest-mypy"]
 
 [[package]]
@@ -2746,13 +2864,14 @@ version = "6.5.2"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.9"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"},
     {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
@@ -2765,6 +2884,7 @@ version = "0.5.1"
 description = "A port of Ruby on Rails inflector to Python"
 optional = false
 python-versions = ">=3.5"
+groups = ["main"]
 files = [
     {file = "inflection-0.5.1-py2.py3-none-any.whl", hash = "sha256:f38b2b640938a4f35ade69ac3d053042959b62a0f1076a5bbaa1b9526605a8a2"},
     {file = "inflection-0.5.1.tar.gz", hash = "sha256:1a29730d366e996aaacffb2f1f1cb9593dc38e2ddd30c91250c6dde09ea9b417"},
@@ -2776,6 +2896,7 @@ version = "2.1.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"},
     {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"},
@@ -2787,6 +2908,7 @@ version = "0.7.0"
 description = "A library for installing Python wheels."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "installer-0.7.0-py3-none-any.whl", hash = "sha256:05d1933f0a5ba7d8d6296bb6d5018e7c94fa473ceb10cf198a92ccea19c27b53"},
     {file = "installer-0.7.0.tar.gz", hash = "sha256:a26d3e3116289bb08216e0d0f7d925fcef0b0194eedfa0c944bcaaa106c4b631"},
@@ -2798,6 +2920,7 @@ version = "8.37.0"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.10"
+groups = ["executable-dependencies"]
 files = [
     {file = "ipython-8.37.0-py3-none-any.whl", hash = "sha256:ed87326596b878932dbcb171e3e698845434d8c61b8d8cd474bf663041a9dcf2"},
     {file = "ipython-8.37.0.tar.gz", hash = "sha256:ca815841e1a41a1e6b73a0b08f3038af9b2252564d01fc405356d34033012216"},
@@ -2819,7 +2942,7 @@ typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
 [package.extras]
 all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
 black = ["black"]
-doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli", "typing_extensions"]
+doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli ; python_version < \"3.11\"", "typing_extensions"]
 kernel = ["ipykernel"]
 matplotlib = ["matplotlib"]
 nbconvert = ["nbconvert"]
@@ -2836,6 +2959,7 @@ version = "2024.7.0"
 description = "IQP circuit simulation"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = []
 develop = false
 
@@ -2864,6 +2988,7 @@ version = "20.11.0"
 description = "Operations with ISO 8601 durations"
 optional = false
 python-versions = ">=3.7"
+groups = ["metadata-validation"]
 files = [
     {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"},
     {file = "isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9"},
@@ -2878,6 +3003,7 @@ version = "2.2.0"
 description = "Safely pass data to untrusted environments and back."
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "itsdangerous-2.2.0-py3-none-any.whl", hash = "sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef"},
     {file = "itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173"},
@@ -2889,6 +3015,7 @@ version = "3.4.0"
 description = "Utility functions for Python class constructs"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "jaraco.classes-3.4.0-py3-none-any.whl", hash = "sha256:f662826b6bed8cace05e7ff873ce0f9283b5c924470fe664fff1c2f00f581790"},
     {file = "jaraco.classes-3.4.0.tar.gz", hash = "sha256:47a024b51d0239c0dd8c8540c6c7f484be3b8fcf0b2d85c13825780d3b3f3acd"},
@@ -2907,6 +3034,7 @@ version = "0.4.28"
 description = "Differentiate, compile, and transform Numpy code."
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "jax-0.4.28-py3-none-any.whl", hash = "sha256:6a181e6b5a5b1140e19cdd2d5c4aa779e4cb4ec627757b918be322d8e81035ba"},
     {file = "jax-0.4.28.tar.gz", hash = "sha256:dcf0a44aff2e1713f0a2b369281cd5b79d8c18fc1018905c4125897cb06b37e9"},
@@ -2936,6 +3064,7 @@ version = "0.4.28"
 description = "XLA library for JAX"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "jaxlib-0.4.28-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:a421d237f8c25d2850166d334603c673ddb9b6c26f52bc496704b8782297bd66"},
     {file = "jaxlib-0.4.28-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f038e68bd10d1a3554722b0bbe36e6a448384437a75aa9d283f696f0ed9f8c09"},
@@ -2969,13 +3098,14 @@ cuda12-pip = ["nvidia-cublas-cu12 (>=12.1.3.1)", "nvidia-cuda-cupti-cu12 (>=12.1
 
 [[package]]
 name = "jaxopt"
-version = "0.8.3"
+version = "0.8.5"
 description = "Hardware accelerated, batchable and differentiable optimizers in JAX."
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
-    {file = "jaxopt-0.8.3-py3-none-any.whl", hash = "sha256:4be2f82798393682529c9ca5046e5397ac6c8657b8acb6bf275e773b28df15b6"},
-    {file = "jaxopt-0.8.3.tar.gz", hash = "sha256:4b06dfa6f915a4f3291699606245af6069371a48dc5c92d4c507840d62990646"},
+    {file = "jaxopt-0.8.5-py3-none-any.whl", hash = "sha256:ff221d1a86908ec759eb1e219ee1d12bf208a70707e961bf7401076fe7cf4d5e"},
+    {file = "jaxopt-0.8.5.tar.gz", hash = "sha256:2790bd68ef132b216c083a8bc7a2704eceb35a92c0fc0a1e652e79dfb1e9e9ab"},
 ]
 
 [package.dependencies]
@@ -2990,6 +3120,7 @@ version = "0.19.2"
 description = "An autocompletion tool for Python that can be used for text editors."
 optional = false
 python-versions = ">=3.6"
+groups = ["executable-dependencies"]
 files = [
     {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"},
     {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"},
@@ -3009,13 +3140,15 @@ version = "0.9.0"
 description = "Low-level, pure Python DBus protocol wrapper."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "sys_platform == \"linux\""
 files = [
     {file = "jeepney-0.9.0-py3-none-any.whl", hash = "sha256:97e5714520c16fc0a45695e5365a2e11b81ea79bba796e26f9f1d178cb182683"},
     {file = "jeepney-0.9.0.tar.gz", hash = "sha256:cf0e9e845622b81e4a28df94c40345400256ec608d0e55bb8a3feaa9163f5732"},
 ]
 
 [package.extras]
-test = ["async-timeout", "pytest", "pytest-asyncio (>=0.17)", "pytest-trio", "testpath", "trio"]
+test = ["async-timeout ; python_version < \"3.11\"", "pytest", "pytest-asyncio (>=0.17)", "pytest-trio", "testpath", "trio"]
 trio = ["trio"]
 
 [[package]]
@@ -3024,6 +3157,7 @@ version = "3.0.3"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.6"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "Jinja2-3.0.3-py3-none-any.whl", hash = "sha256:077ce6014f7b40d03b47d1f1ca4b0fc8328a692bd284016f806ed0eaca390ad8"},
     {file = "Jinja2-3.0.3.tar.gz", hash = "sha256:611bb273cd68f3b993fabdc4064fc858c5b47a973cb5aa7999ec1ba405c87cd7"},
@@ -3041,6 +3175,7 @@ version = "1.5.1"
 description = "Lightweight pipelining with Python functions"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "joblib-1.5.1-py3-none-any.whl", hash = "sha256:4719a31f054c7d766948dcd83e9613686b27114f190f717cec7eaa2084f8a74a"},
     {file = "joblib-1.5.1.tar.gz", hash = "sha256:f4f86e351f39fe3d0d32a9f2c3d8af1ee4cec285aafcb27003dda5205576b444"},
@@ -3052,6 +3187,7 @@ version = "3.0.0"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
 python-versions = ">=3.7"
+groups = ["metadata-validation"]
 files = [
     {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
     {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
@@ -3063,6 +3199,7 @@ version = "4.17.3"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "metadata-validation"]
 files = [
     {file = "jsonschema-4.17.3-py3-none-any.whl", hash = "sha256:a870ad254da1a8ca84b6a2905cac29d265f805acc57af304784962a2aa6508f6"},
     {file = "jsonschema-4.17.3.tar.gz", hash = "sha256:0f864437ab8b6076ba6707453ef8f98a6a0d512a80e93f8abdb676f737ecb60d"},
@@ -3090,6 +3227,7 @@ version = "1.1.7"
 description = "Python Inferface for the Karlsruhe Hypergraph Partitioning Framework (KaHyPar)"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "kahypar-1.1.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e72e1be11b0791076106502d17bdddd82973853356bbb5d472c874d55fd75327"},
     {file = "kahypar-1.1.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:da2c95d9d6bd201e91c9293119b4e7bce32c7b4ac681b7638bf6498d4fa40b74"},
@@ -3113,21 +3251,34 @@ files = [
 
 [[package]]
 name = "keras"
-version = "2.14.0"
-description = "Deep learning for humans."
+version = "3.10.0"
+description = "Multi-backend Keras"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
-    {file = "keras-2.14.0-py3-none-any.whl", hash = "sha256:d7429d1d2131cc7eb1f2ea2ec330227c7d9d38dab3dfdf2e78defee4ecc43fcd"},
-    {file = "keras-2.14.0.tar.gz", hash = "sha256:22788bdbc86d9988794fe9703bb5205141da797c4faeeb59497c58c3d94d34ed"},
+    {file = "keras-3.10.0-py3-none-any.whl", hash = "sha256:c095a6bf90cd50defadf73d4859ff794fad76b775357ef7bd1dbf96388dae7d3"},
+    {file = "keras-3.10.0.tar.gz", hash = "sha256:6e9100bf66eaf6de4b7f288d34ef9bb8b5dcdd62f42c64cfd910226bb34ad2d2"},
 ]
 
+[package.dependencies]
+absl-py = "*"
+h5py = "*"
+ml-dtypes = "*"
+namex = "*"
+numpy = "*"
+optree = "*"
+packaging = "*"
+rich = "*"
+
 [[package]]
 name = "keyring"
 version = "24.3.1"
 description = "Store and access your passwords safely."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "keyring-24.3.1-py3-none-any.whl", hash = "sha256:df38a4d7419a6a60fea5cef1e45a948a3e8430dd12ad88b0f423c5c143906218"},
     {file = "keyring-24.3.1.tar.gz", hash = "sha256:c3327b6ffafc0e8befbdb597cacdb4928ffe5c1212f7645f186e6d9957a898db"},
@@ -3143,7 +3294,7 @@ SecretStorage = {version = ">=3.2", markers = "sys_platform == \"linux\""}
 [package.extras]
 completion = ["shtab (>=1.1.0)"]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy ; platform_python_implementation != \"PyPy\"", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "kiwisolver"
@@ -3151,6 +3302,7 @@ version = "1.4.8"
 description = "A fast implementation of the Cassowary constraint solver"
 optional = false
 python-versions = ">=3.10"
+groups = ["executable-dependencies"]
 files = [
     {file = "kiwisolver-1.4.8-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:88c6f252f6816a73b1f8c904f7bbe02fd67c09a69f7cb8a0eecdbf5ce78e63db"},
     {file = "kiwisolver-1.4.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c72941acb7b67138f35b879bbe85be0f6c6a70cab78fe3ef6db9c024d9223e5b"},
@@ -3240,6 +3392,8 @@ version = "18.1.1"
 description = "Clang Python Bindings, mirrored from the official LLVM repo: https://github.com/llvm/llvm-project/tree/main/clang/bindings/python, to make the installation process easier."
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
     {file = "libclang-18.1.1-1-py2.py3-none-macosx_11_0_arm64.whl", hash = "sha256:0b2e143f0fac830156feb56f9231ff8338c20aecfe72b4ffe96f19e5a1dbb69a"},
     {file = "libclang-18.1.1-py2.py3-none-macosx_10_9_x86_64.whl", hash = "sha256:6f14c3f194704e5d09769108f03185fce7acaf1d1ae4bbb2f30a72c2400cb7c5"},
@@ -3259,6 +3413,7 @@ version = "0.44.0"
 description = "lightweight wrapper around basic LLVM functionality"
 optional = false
 python-versions = ">=3.10"
+groups = ["executable-dependencies"]
 files = [
     {file = "llvmlite-0.44.0-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:9fbadbfba8422123bab5535b293da1cf72f9f478a65645ecd73e781f962ca614"},
     {file = "llvmlite-0.44.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cccf8eb28f24840f2689fb1a45f9c0f7e582dd24e088dcf96e424834af11f791"},
@@ -3289,6 +3444,7 @@ version = "1.0.0"
 description = "File-based locks for Python on Linux and Windows"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["executable-dependencies"]
 files = [
     {file = "locket-1.0.0-py2.py3-none-any.whl", hash = "sha256:b6c819a722f7b6bd955b80781788e4a66a55628b858d347536b7e81325a3a5e3"},
     {file = "locket-1.0.0.tar.gz", hash = "sha256:5c0d4c052a8bbbf750e056a8e65ccd309086f4f0f18a2eac306a8dfa4112a632"},
@@ -3300,6 +3456,7 @@ version = "5.4.0"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "lxml-5.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e7bc6df34d42322c5289e37e9971d6ed114e3776b45fa879f734bded9d1fea9c"},
     {file = "lxml-5.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6854f8bd8a1536f8a1d9a3655e6354faa6406621cf857dc27b681b69860645c7"},
@@ -3448,6 +3605,7 @@ version = "1.3.10"
 description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "mako-1.3.10-py3-none-any.whl", hash = "sha256:baef24a52fc4fc514a0887ac600f9f1cff3d82c61d4d700a1fa84d597b88db59"},
     {file = "mako-1.3.10.tar.gz", hash = "sha256:99579a6f39583fa7e5630a28c3c1f440e4e97a414b80372649c0ce338da2ea28"},
@@ -3467,6 +3625,8 @@ version = "3.8"
 description = "Python implementation of John Gruber's Markdown."
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
     {file = "markdown-3.8-py3-none-any.whl", hash = "sha256:794a929b79c5af141ef5ab0f2f642d0f7b1872981250230e72682346f7cc90dc"},
     {file = "markdown-3.8.tar.gz", hash = "sha256:7df81e63f0df5c4b24b7d156eb81e4690595239b7d70937d0409f1b0de319c6f"},
@@ -3482,6 +3642,7 @@ version = "2.2.0"
 description = "Python port of markdown-it. Markdown parsing, done right!"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "executable-dependencies"]
 files = [
     {file = "markdown-it-py-2.2.0.tar.gz", hash = "sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1"},
     {file = "markdown_it_py-2.2.0-py3-none-any.whl", hash = "sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30"},
@@ -3506,6 +3667,7 @@ version = "2.1.1"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.7"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "MarkupSafe-2.1.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:86b1f75c4e7c2ac2ccdaec2b9022845dbb81880ca318bb7a0a01fbf7813e3812"},
     {file = "MarkupSafe-2.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f121a1420d4e173a5d96e47e9a0c0dcff965afdf1626d28de1460815f7c4ee7a"},
@@ -3555,6 +3717,7 @@ version = "3.7.2"
 description = "Python plotting package"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "matplotlib-3.7.2-cp310-cp310-macosx_10_12_universal2.whl", hash = "sha256:2699f7e73a76d4c110f4f25be9d2496d6ab4f17345307738557d345f099e07de"},
     {file = "matplotlib-3.7.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:a8035ba590658bae7562786c9cc6ea1a84aa49d3afab157e414c9e2ea74f496d"},
@@ -3616,6 +3779,7 @@ version = "0.1.7"
 description = "Inline Matplotlib backend for Jupyter"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"},
     {file = "matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90"},
@@ -3630,6 +3794,7 @@ version = "0.1.2"
 description = "Markdown URL utilities"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "executable-dependencies"]
 files = [
     {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
@@ -3641,6 +3806,7 @@ version = "0.2.14"
 description = "heuristic algorithm to find graph minor embeddings"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "minorminer-0.2.14-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7f709b8a1716f04fb63edcbce8724da0b1ba7da253db296a17383d6a107cb4dc"},
     {file = "minorminer-0.2.14-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:02845338ecd8fc447b0bad7550f8550431b4c44f177b15ab44c069226892187f"},
@@ -3684,6 +3850,7 @@ version = "0.43.0"
 description = "Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers."
 optional = false
 python-versions = "<3.13,>=3.10"
+groups = ["executable-dependencies"]
 files = [
     {file = "mitiq-0.43.0-py3-none-any.whl", hash = "sha256:3af95694a173bd1a1e3558769dc4d2aa7552b0e12967c1f83f2a6b3d90191442"},
     {file = "mitiq-0.43.0.tar.gz", hash = "sha256:e2db3a68dafcbd06c616d8a1ed9f9a7e70e2a1b0b99cd826e124790fdd6bf575"},
@@ -3698,7 +3865,7 @@ tabulate = "*"
 [package.extras]
 braket = ["amazon-braket-sdk (>=1.69.0,<1.70.0)", "cirq-ionq (>=1.4.0,<1.5.0)"]
 cirq = ["cirq-core (>=1.4.0,<1.5.0)"]
-development = ["Sphinx (==8.0.2)", "amazon-braket-sdk (>=1.69.0,<1.70.0)", "bqskit (==1.1.1)", "cirq-core (>=1.4.0,<1.5.0)", "cirq-ionq (>=1.4.0,<1.5.0)", "cirq-rigetti (>=1.4.0,<1.5.0)", "jupytext (==1.16.1)", "matplotlib (==3.8.1)", "mypy (==1.0.0)", "myst-nb (==1.1.1)", "myst-parser (==4.0.0)", "nbsphinx (==0.9.3)", "openfermion (==1.6.1)", "openfermionpyscf (==0.5)", "pandas (==2.1.3)", "pennylane (>=0.36.0,<0.37.0)", "pennylane-qiskit (>=0.36.0,<0.37.0)", "ply (==3.11)", "pydata-sphinx-theme (==0.15.4)", "pyqrack (==1.32.27)", "pyquil (>=3.5.4,<3.6.0)", "pyscf (==2.8.0)", "pytest (==8.0.0)", "pytest-cov (==6.0.0)", "pytest-xdist[psutil] (==3.0.2)", "qibo (>=0.2.15,<0.3.0)", "qiskit (>=1.3.1,<1.4.0)", "qiskit-aer (>=0.15.1,<0.16.0)", "qiskit-ibm-runtime (>=0.20.0,<0.21.0)", "ruff (==0.3.1)", "seaborn (==0.13.0)", "sphinx-autodoc-typehints (==2.0.0)", "sphinx-copybutton (==0.5.2)", "sphinx-design (==0.6.1)", "sphinx-gallery (==0.15.0)", "sphinx-tags (==0.4)", "sphinxcontrib-bibtex (==2.6.2)", "stim (==1.14.0)", "stimcirq (==1.14.0)", "types-tabulate"]
+development = ["Sphinx (==8.0.2)", "amazon-braket-sdk (>=1.69.0,<1.70.0)", "bqskit (==1.1.1)", "cirq-core (>=1.4.0,<1.5.0)", "cirq-ionq (>=1.4.0,<1.5.0)", "cirq-rigetti (>=1.4.0,<1.5.0)", "jupytext (==1.16.1)", "matplotlib (==3.8.1)", "mypy (==1.0.0)", "myst-nb (==1.1.1)", "myst-parser (==4.0.0)", "nbsphinx (==0.9.3)", "openfermion (==1.6.1) ; sys_platform != \"win32\"", "openfermionpyscf (==0.5) ; sys_platform != \"win32\"", "pandas (==2.1.3)", "pennylane (>=0.36.0,<0.37.0)", "pennylane-qiskit (>=0.36.0,<0.37.0)", "ply (==3.11)", "pydata-sphinx-theme (==0.15.4)", "pyqrack (==1.32.27)", "pyquil (>=3.5.4,<3.6.0)", "pyscf (==2.8.0) ; sys_platform != \"win32\"", "pytest (==8.0.0)", "pytest-cov (==6.0.0)", "pytest-xdist[psutil] (==3.0.2)", "qibo (>=0.2.15,<0.3.0)", "qiskit (>=1.3.1,<1.4.0)", "qiskit-aer (>=0.15.1,<0.16.0)", "qiskit-ibm-runtime (>=0.20.0,<0.21.0)", "ruff (==0.3.1)", "seaborn (==0.13.0)", "sphinx-autodoc-typehints (==2.0.0)", "sphinx-copybutton (==0.5.2)", "sphinx-design (==0.6.1)", "sphinx-gallery (==0.15.0)", "sphinx-tags (==0.4)", "sphinxcontrib-bibtex (==2.6.2)", "stim (==1.14.0)", "stimcirq (==1.14.0)", "types-tabulate"]
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 ]
 
 [package.dependencies]
-numpy = {version = ">=1.21.2", markers = "python_version > \"3.9\""}
+numpy = {version = ">=1.21.2", markers = "python_version >= \"3.10\""}
 
 [package.extras]
 dev = ["absl-py", "pyink", "pylint (>=2.6.0)", "pytest", "pytest-xdist"]
@@ -3742,6 +3910,7 @@ version = "10.7.0"
 description = "More routines for operating on iterables, beyond itertools"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
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@@ -3753,6 +3922,7 @@ version = "1.3.0"
 description = "Python library for arbitrary-precision floating-point arithmetic"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
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@@ -3761,7 +3931,7 @@ files = [
 [package.extras]
 develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
 docs = ["sphinx"]
-gmpy = ["gmpy2 (>=2.1.0a4)"]
+gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""]
 tests = ["pytest (>=4.6)"]
 
 [[package]]
@@ -3770,6 +3940,7 @@ version = "1.1.0"
 description = "MessagePack serializer"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "executable-dependencies"]
 files = [
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@@ -3843,6 +4014,7 @@ version = "6.4.4"
 description = "multidict implementation"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
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@@ -3959,34 +4131,53 @@ version = "1.0.0"
 description = "Multiple dispatch"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
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 ]
 
+[[package]]
+name = "namex"
+version = "0.1.0"
+description = "A simple utility to separate the implementation of your Python package and its public API surface."
+optional = false
+python-versions = "*"
+groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
+files = [
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+    {file = "namex-0.1.0.tar.gz", hash = "sha256:117f03ccd302cc48e3f5c58a296838f6b89c83455ab8683a1e85f2a430aa4306"},
+]
+
 [[package]]
 name = "narwhals"
-version = "1.41.0"
+version = "1.28.0"
 description = "Extremely lightweight compatibility layer between dataframe libraries"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
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+    {file = "narwhals-1.28.0.tar.gz", hash = "sha256:a2213fa44a039f724278fb15609889319e7c240403413f2606cc856c8d8f708d"},
 ]
 
 [package.extras]
+core = ["duckdb", "pandas", "polars", "pyarrow", "pyarrow-stubs"]
 cudf = ["cudf (>=24.10.0)"]
 dask = ["dask[dataframe] (>=2024.8)"]
+dev = ["covdefaults", "hypothesis", "mypy (>=1.15.0,<1.16.0)", "pandas-stubs", "pre-commit", "pyright", "pytest", "pytest-cov", "pytest-env", "pytest-randomly", "typing-extensions"]
+docs = ["black", "duckdb", "jinja2", "markdown-exec[ansi]", "mkdocs", "mkdocs-autorefs", "mkdocs-material", "mkdocstrings-python (>=1.16)", "mkdocstrings[python]", "pandas", "polars (>=1.0.0)", "pyarrow"]
 duckdb = ["duckdb (>=1.0)"]
+extra = ["scikit-learn"]
 ibis = ["ibis-framework (>=6.0.0)", "packaging", "pyarrow-hotfix", "rich"]
 modin = ["modin"]
 pandas = ["pandas (>=0.25.3)"]
 polars = ["polars (>=0.20.3)"]
 pyarrow = ["pyarrow (>=11.0.0)"]
 pyspark = ["pyspark (>=3.5.0)"]
-pyspark-connect = ["pyspark[connect] (>=3.5.0)"]
-sqlframe = ["sqlframe (>=3.22.0)"]
+tests = ["covdefaults", "hypothesis", "pytest", "pytest-cov", "pytest-env", "pytest-randomly", "typing-extensions"]
+typing = ["mypy (>=1.15.0,<1.16.0)", "pandas-stubs", "pyright", "typing-extensions"]
 
 [[package]]
 name = "natsort"
@@ -3994,6 +4185,7 @@ version = "8.4.0"
 description = "Simple yet flexible natural sorting in Python."
 optional = false
 python-versions = ">=3.7"
+groups = ["executable-dependencies"]
 files = [
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@@ -4009,6 +4201,7 @@ version = "1.6.0"
 description = "Patch asyncio to allow nested event loops"
 optional = false
 python-versions = ">=3.5"
+groups = ["executable-dependencies"]
 files = [
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@@ -4020,6 +4213,7 @@ version = "3.4.2"
 description = "Python package for creating and manipulating graphs and networks"
 optional = false
 python-versions = ">=3.10"
+groups = ["base", "executable-dependencies"]
 files = [
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@@ -4039,6 +4233,7 @@ version = "0.6.2"
 description = "Fast and Easy Infinite Neural Networks in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
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@@ -4059,6 +4254,7 @@ version = "0.61.2"
 description = "compiling Python code using LLVM"
 optional = false
 python-versions = ">=3.10"
+groups = ["executable-dependencies"]
 files = [
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@@ -4093,6 +4289,7 @@ version = "1.24.4"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "numpy-1.24.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c0bfb52d2169d58c1cdb8cc1f16989101639b34c7d3ce60ed70b19c63eba0b64"},
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@@ -4130,6 +4327,7 @@ version = "0.18.0"
 description = "Pyro PPL on NumPy"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "numpyro-0.18.0-py3-none-any.whl", hash = "sha256:b7cc96c59b55a0bc254ca365c68057840ae0a358b99ace288eaceb7cf199f762"},
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@@ -4157,6 +4355,8 @@ version = "12.1.3.1"
 description = "CUBLAS native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["executable-dependencies"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -4168,6 +4368,8 @@ version = "12.1.105"
 description = "CUDA profiling tools runtime libs."
 optional = false
 python-versions = ">=3"
+groups = ["executable-dependencies"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -4179,6 +4381,8 @@ version = "12.1.105"
 description = "NVRTC native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["executable-dependencies"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -4190,6 +4394,8 @@ version = "12.1.105"
 description = "CUDA Runtime native Libraries"
 optional = false
 python-versions = ">=3"
+groups = ["executable-dependencies"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -4201,6 +4407,8 @@ version = "8.9.2.26"
 description = "cuDNN runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["executable-dependencies"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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 ]
@@ -4214,6 +4422,8 @@ version = "11.0.2.54"
 description = "CUFFT native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["executable-dependencies"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -4225,6 +4435,8 @@ version = "10.3.2.106"
 description = "CURAND native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["executable-dependencies"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -4236,6 +4448,8 @@ version = "11.4.5.107"
 description = "CUDA solver native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["executable-dependencies"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -4252,6 +4466,8 @@ version = "12.1.0.106"
 description = "CUSPARSE native runtime libraries"
 optional = false
 python-versions = ">=3"
+groups = ["executable-dependencies"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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@@ -4266,20 +4482,24 @@ version = "2.18.1"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = false
 python-versions = ">=3"
+groups = ["executable-dependencies"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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 ]
 
 [[package]]
 name = "nvidia-nvjitlink-cu12"
-version = "12.9.41"
+version = "12.8.61"
 description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
+groups = ["executable-dependencies"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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+    {file = "nvidia_nvjitlink_cu12-12.8.61-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:45fd79f2ae20bd67e8bc411055939049873bfd8fac70ff13bd4865e0b9bdab17"},
+    {file = "nvidia_nvjitlink_cu12-12.8.61-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:9b80ecab31085dda3ce3b41d043be0ec739216c3fc633b8abe212d5a30026df0"},
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 ]
 
 [[package]]
@@ -4288,33 +4508,20 @@ version = "12.1.105"
 description = "NVIDIA Tools Extension"
 optional = false
 python-versions = ">=3"
+groups = ["executable-dependencies"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
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 ]
 
-[[package]]
-name = "oauthlib"
-version = "3.2.2"
-description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
-optional = false
-python-versions = ">=3.6"
-files = [
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-    {file = "oauthlib-3.2.2.tar.gz", hash = "sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918"},
-]
-
-[package.extras]
-rsa = ["cryptography (>=3.0.0)"]
-signals = ["blinker (>=1.4.0)"]
-signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
-
 [[package]]
 name = "openfermion"
 version = "1.6.1"
 description = "The electronic structure package for quantum computers."
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "openfermion-1.6.1-py3-none-any.whl", hash = "sha256:9cc65558ac4915ab25a3366f71b80acf22b16116c9f6132c08990fd2f59b557e"},
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@@ -4340,6 +4547,7 @@ version = "0.5"
 description = "A plugin allowing OpenFermion to interface with PySCF."
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "openfermionpyscf-0.5-py3-none-any.whl", hash = "sha256:a5679edf78808352df615f366e65d81316a502e4aa814601142a66fd9dc9c58f"},
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@@ -4356,6 +4564,7 @@ version = "0.2.5"
 description = "OpenQAOA is a python open-source multi-backend Software Development Kit to create, customise and execute the Quantum Approximate Optimisation Algorithm (QAOA) on Noisy Intermediate-Scale Quantum (NISQ) devices, and simulators"
 optional = false
 python-versions = ">=3.8, <3.11"
+groups = ["executable-dependencies"]
 files = [
     {file = "openqaoa-core-0.2.5.tar.gz", hash = "sha256:fa543df0ae3fa56499598270e020d2c1eba21b0d74ed4aa432286c179ecb9331"},
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@@ -4386,6 +4595,7 @@ version = "3.4.0"
 description = "Path optimization of einsum functions."
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "opt_einsum-3.4.0-py3-none-any.whl", hash = "sha256:69bb92469f86a1565195ece4ac0323943e83477171b91d24c35afe028a90d7cd"},
     {file = "opt_einsum-3.4.0.tar.gz", hash = "sha256:96ca72f1b886d148241348783498194c577fa30a8faac108586b14f1ba4473ac"},
@@ -4393,18 +4603,19 @@ files = [
 
 [[package]]
 name = "optax"
-version = "0.2.3"
-description = "A gradient processing and optimisation library in JAX."
+version = "0.2.4"
+description = "A gradient processing and optimization library in JAX."
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
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-    {file = "optax-0.2.3.tar.gz", hash = "sha256:ec7ab925440b0c5a512e1f24fba0fb3e7d760a7fd5d2496d7a691e9d37da01d9"},
+    {file = "optax-0.2.4-py3-none-any.whl", hash = "sha256:db35c04e50b52596662efb002334de08c2a0a74971e4da33f467e84fac08886a"},
+    {file = "optax-0.2.4.tar.gz", hash = "sha256:4e05d3d5307e6dde4c319187ae36e6cd3a0c035d4ed25e9e992449a304f47336"},
 ]
 
 [package.dependencies]
 absl-py = ">=0.7.1"
-chex = ">=0.1.86"
+chex = ">=0.1.87"
 etils = {version = "*", extras = ["epy"]}
 jax = ">=0.4.27"
 jaxlib = ">=0.4.27"
@@ -4416,32 +4627,129 @@ dp-accounting = ["absl-py (>=1.0.0)", "attrs (>=21.4.0)", "mpmath (>=1.2.1)", "n
 examples = ["dp_accounting (>=0.4)", "flax", "ipywidgets", "tensorflow (>=2.4.0)", "tensorflow-datasets (>=4.2.0)"]
 test = ["dm-tree (>=0.1.7)", "flax (>=0.5.3)", "scikit-learn", "scipy (>=1.7.1)"]
 
+[[package]]
+name = "optree"
+version = "0.16.0"
+description = "Optimized PyTree Utilities."
+optional = false
+python-versions = ">=3.9"
+groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
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+
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+numpy = ["numpy"]
+test = ["covdefaults", "pytest", "pytest-cov", "rich"]
+torch = ["torch"]
+
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 name = "orbax-checkpoint"
-version = "0.4.4"
+version = "0.6.4"
 description = "Orbax Checkpoint"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
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 ]
 
 [package.dependencies]
 absl-py = "*"
 etils = {version = "*", extras = ["epath", "epy"]}
-jax = ">=0.4.9"
+humanize = "*"
+jax = ">=0.4.26"
 jaxlib = "*"
 msgpack = "*"
 nest_asyncio = "*"
 numpy = "*"
 protobuf = "*"
 pyyaml = "*"
-tensorstore = ">=0.1.35"
+tensorstore = ">=0.1.60"
 typing_extensions = "*"
 
 [package.extras]
-testing = ["flax", "pytest", "pytest-xdist"]
+testing = ["flax", "google-cloud-logging", "mock", "pytest", "pytest-xdist"]
 
 [[package]]
 name = "orderedmultidict"
@@ -4449,6 +4757,7 @@ version = "1.0.1"
 description = "Ordered Multivalue Dictionary"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
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@@ -4463,6 +4772,7 @@ version = "3.10.18"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
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@@ -4544,6 +4854,7 @@ version = "1.0.4"
 description = "OSQP: The Operator Splitting QP Solver"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
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@@ -4590,6 +4901,7 @@ version = "25.0"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "base", "executable-dependencies"]
 files = [
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 optional = false
 python-versions = ">=3.9"
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 [package.dependencies]
@@ -4683,6 +4996,7 @@ version = "0.8.4"
 description = "A Python Parser"
 optional = false
 python-versions = ">=3.6"
+groups = ["executable-dependencies"]
 files = [
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@@ -4698,6 +5012,7 @@ version = "1.4.2"
 description = "Appendable key-value storage"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
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@@ -4716,6 +5031,7 @@ version = "6.1.1"
 description = "Python Build Reasonableness"
 optional = false
 python-versions = ">=2.6"
+groups = ["executable-dependencies"]
 files = [
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@@ -4730,6 +5046,7 @@ version = "1.1.0"
 description = "Package for creating penalty models."
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
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@@ -4748,6 +5065,7 @@ version = "0.41.0"
 description = "PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network."
 optional = false
 python-versions = "*"
+groups = ["base", "executable-dependencies"]
 files = [
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 ]
@@ -4777,6 +5095,7 @@ version = "0.11.0"
 description = "A JIT compiler for hybrid quantum programs in PennyLane"
 optional = false
 python-versions = ">=3.10"
+groups = ["executable-dependencies"]
 files = [
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@@ -4807,6 +5126,7 @@ version = "0.41.0"
 description = "PennyLane plugin for Cirq"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
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 ]
@@ -4822,6 +5142,7 @@ version = "0.41.1"
 description = "PennyLane-Lightning plugin"
 optional = false
 python-versions = ">=3.10"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "pennylane_lightning-0.41.1-cp310-cp310-macosx_13_0_arm64.whl", hash = "sha256:c7dd5bd59fc2102058dd07f4ec26c97932a07c4db998fbe9ff25e5bbbffc8b48"},
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@@ -4862,6 +5183,7 @@ version = "0.41.0"
 description = "PennyLane plugin for Qiskit"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "pennylane_qiskit-0.41.0-py3-none-any.whl", hash = "sha256:e8e487860146e227a9c0a7d50a407098776999cc650f64a9a644445849c5c15d"},
 ]
@@ -4882,6 +5204,7 @@ version = "0.11.1"
 description = "PennyLane plugin for Qrack."
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "pennylane_qrack-0.11.1-py3-none-macosx_13_0_x86_64.whl", hash = "sha256:06d9255430ea5af0081bcb06a2ea9b8d6bb6f9534131b275092e10296f03c2a2"},
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@@ -4904,6 +5227,7 @@ version = "0.41.0"
 description = "PennyLane plugin for Qulacs."
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "pennylane_qulacs-0.41.0-py3-none-any.whl", hash = "sha256:4d0b1ea6438dcbe6907b029a93bdaeeb2a66267f5fe54ed2e0bb7e32eb04fac1"},
 ]
@@ -4923,6 +5247,7 @@ version = "0.4.0.dev0"
 description = "Sphinx theme for PennyLane open-source Python packages"
 optional = false
 python-versions = "*"
+groups = ["base"]
 files = []
 develop = false
 
@@ -4945,10 +5270,12 @@ version = "4.9.0"
 description = "Pexpect allows easy control of interactive console applications."
 optional = false
 python-versions = "*"
+groups = ["main", "executable-dependencies"]
 files = [
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 ]
+markers = {executable-dependencies = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
 
 [package.dependencies]
 ptyprocess = ">=0.5"
@@ -4959,6 +5286,7 @@ version = "11.2.1"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.9"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "pillow-11.2.1-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:d57a75d53922fc20c165016a20d9c44f73305e67c351bbc60d1adaf662e74047"},
     {file = "pillow-11.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:127bf6ac4a5b58b3d32fc8289656f77f80567d65660bc46f72c0d77e6600cc95"},
@@ -5049,7 +5377,7 @@ fpx = ["olefile"]
 mic = ["olefile"]
 test-arrow = ["pyarrow"]
 tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout", "trove-classifiers (>=2024.10.12)"]
-typing = ["typing-extensions"]
+typing = ["typing-extensions ; python_version < \"3.10\""]
 xmp = ["defusedxml"]
 
 [[package]]
@@ -5058,6 +5386,7 @@ version = "25.1.1"
 description = "The PyPA recommended tool for installing Python packages."
 optional = false
 python-versions = ">=3.9"
+groups = ["base"]
 files = [
     {file = "pip-25.1.1-py3-none-any.whl", hash = "sha256:2913a38a2abf4ea6b64ab507bd9e967f3b53dc1ede74b01b0931e1ce548751af"},
     {file = "pip-25.1.1.tar.gz", hash = "sha256:3de45d411d308d5054c2168185d8da7f9a2cd753dbac8acbfa88a8909ecd9077"},
@@ -5069,6 +5398,7 @@ version = "1.12.1.2"
 description = "Query metadata from sdists / bdists / installed packages."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "pkginfo-1.12.1.2-py3-none-any.whl", hash = "sha256:c783ac885519cab2c34927ccfa6bf64b5a704d7c69afaea583dd9b7afe969343"},
     {file = "pkginfo-1.12.1.2.tar.gz", hash = "sha256:5cd957824ac36f140260964eba3c6be6442a8359b8c48f4adf90210f33a04b7b"},
@@ -5083,6 +5413,7 @@ version = "4.3.8"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "platformdirs-4.3.8-py3-none-any.whl", hash = "sha256:ff7059bb7eb1179e2685604f4aaf157cfd9535242bd23742eadc3c13542139b4"},
     {file = "platformdirs-4.3.8.tar.gz", hash = "sha256:3d512d96e16bcb959a814c9f348431070822a6496326a4be0911c40b5a74c2bc"},
@@ -5099,6 +5430,7 @@ version = "6.1.2"
 description = "An open-source interactive data visualization library for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "plotly-6.1.2-py3-none-any.whl", hash = "sha256:f1548a8ed9158d59e03d7fed548c7db5549f3130d9ae19293c8638c202648f6d"},
     {file = "plotly-6.1.2.tar.gz", hash = "sha256:4fdaa228926ba3e3a213f4d1713287e69dcad1a7e66cf2025bd7d7026d5014b4"},
@@ -5119,6 +5451,7 @@ version = "0.4.3"
 description = "Plucking (deep) keys/paths safely from python collections has never been easier."
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "plucky-0.4.3-py2.py3-none-any.whl", hash = "sha256:a358878f3e45b5e51d0b4e5b5c89d704422a72c2cf8ee9aaf9acedfa53f89105"},
     {file = "plucky-0.4.3.tar.gz", hash = "sha256:5bc75d43ae6b40f1b7ba42000b37e4934fa6bd2d6a6cd4e47461f803a404c194"},
@@ -5130,6 +5463,7 @@ version = "1.6.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746"},
     {file = "pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3"},
@@ -5145,6 +5479,7 @@ version = "3.11"
 description = "Python Lex & Yacc"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "ply-3.11-py2.py3-none-any.whl", hash = "sha256:096f9b8350b65ebd2fd1346b12452efe5b9607f7482813ffca50c22722a807ce"},
     {file = "ply-3.11.tar.gz", hash = "sha256:00c7c1aaa88358b9c765b6d3000c6eec0ba42abca5351b095321aef446081da3"},
@@ -5156,6 +5491,7 @@ version = "1.8.5"
 description = "Python dependency management and packaging made easy."
 optional = false
 python-versions = "<4.0,>=3.8"
+groups = ["main"]
 files = [
     {file = "poetry-1.8.5-py3-none-any.whl", hash = "sha256:5505fba69bf2a792b5d7402d21839c853644337392b745109b86a23010cce5f3"},
     {file = "poetry-1.8.5.tar.gz", hash = "sha256:eb2c88d224f58f36df8f7b36d6c380c07d1001bca28bde620f68fc086e881b70"},
@@ -5192,6 +5528,7 @@ version = "1.9.1"
 description = "Poetry PEP 517 Build Backend"
 optional = false
 python-versions = "<4.0,>=3.8"
+groups = ["main"]
 files = [
     {file = "poetry_core-1.9.1-py3-none-any.whl", hash = "sha256:6f45dd3598e0de8d9b0367360253d4c5d4d0110c8f5c71120a14f0e0f116c1a0"},
     {file = "poetry_core-1.9.1.tar.gz", hash = "sha256:7a2d49214bf58b4f17f99d6891d947a9836c9899a67a5069f52d7b67217f61b8"},
@@ -5203,6 +5540,7 @@ version = "1.8.0"
 description = "Poetry plugin to export the dependencies to various formats"
 optional = false
 python-versions = "<4.0,>=3.8"
+groups = ["main"]
 files = [
     {file = "poetry_plugin_export-1.8.0-py3-none-any.whl", hash = "sha256:adbe232cfa0cc04991ea3680c865cf748bff27593b9abcb1f35fb50ed7ba2c22"},
     {file = "poetry_plugin_export-1.8.0.tar.gz", hash = "sha256:1fa6168a85d59395d835ca564bc19862a7c76061e60c3e7dfaec70d50937fc61"},
@@ -5218,6 +5556,7 @@ version = "3.0.51"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "prompt_toolkit-3.0.51-py3-none-any.whl", hash = "sha256:52742911fde84e2d423e2f9a4cf1de7d7ac4e51958f648d9540e0fb8db077b07"},
     {file = "prompt_toolkit-3.0.51.tar.gz", hash = "sha256:931a162e3b27fc90c86f1b48bb1fb2c528c2761475e57c9c06de13311c7b54ed"},
@@ -5232,6 +5571,7 @@ version = "0.3.1"
 description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "propcache-0.3.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f27785888d2fdd918bc36de8b8739f2d6c791399552333721b58193f68ea3e98"},
     {file = "propcache-0.3.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4e89cde74154c7b5957f87a355bb9c8ec929c167b59c83d90654ea36aeb6180"},
@@ -5339,6 +5679,7 @@ version = "4.25.8"
 description = ""
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "protobuf-4.25.8-cp310-abi3-win32.whl", hash = "sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0"},
     {file = "protobuf-4.25.8-cp310-abi3-win_amd64.whl", hash = "sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9"},
@@ -5359,6 +5700,7 @@ version = "7.0.0"
 description = "Cross-platform lib for process and system monitoring in Python.  NOTE: the syntax of this script MUST be kept compatible with Python 2.7."
 optional = false
 python-versions = ">=3.6"
+groups = ["executable-dependencies"]
 files = [
     {file = "psutil-7.0.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:101d71dc322e3cffd7cea0650b09b3d08b8e7c4109dd6809fe452dfd00e58b25"},
     {file = "psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:39db632f6bb862eeccf56660871433e111b6ea58f2caea825571951d4b6aa3da"},
@@ -5382,10 +5724,12 @@ version = "0.7.0"
 description = "Run a subprocess in a pseudo terminal"
 optional = false
 python-versions = "*"
+groups = ["main", "executable-dependencies"]
 files = [
     {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
     {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
 ]
+markers = {executable-dependencies = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
 
 [[package]]
 name = "pubchempy"
@@ -5393,6 +5737,7 @@ version = "1.0.4"
 description = "A simple Python wrapper around the PubChem PUG REST API."
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "PubChemPy-1.0.4.tar.gz", hash = "sha256:24e9dc2fc90ab153b2764bf805e510b1410700884faf0510a9e7cf0d61d8ed0e"},
 ]
@@ -5406,6 +5751,7 @@ version = "0.2.3"
 description = "Safely evaluate AST nodes without side effects"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"},
     {file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"},
@@ -5414,41 +5760,18 @@ files = [
 [package.extras]
 tests = ["pytest"]
 
-[[package]]
-name = "pyasn1"
-version = "0.6.1"
-description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"},
-    {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"},
-]
-
-[[package]]
-name = "pyasn1-modules"
-version = "0.4.2"
-description = "A collection of ASN.1-based protocols modules"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "pyasn1_modules-0.4.2-py3-none-any.whl", hash = "sha256:29253a9207ce32b64c3ac6600edc75368f98473906e8fd1043bd6b5b1de2c14a"},
-    {file = "pyasn1_modules-0.4.2.tar.gz", hash = "sha256:677091de870a80aae844b1ca6134f54652fa2c8c5a52aa396440ac3106e941e6"},
-]
-
-[package.dependencies]
-pyasn1 = ">=0.6.1,<0.7.0"
-
 [[package]]
 name = "pycparser"
 version = "2.22"
 description = "C parser in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "executable-dependencies"]
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
 ]
+markers = {main = "sys_platform == \"linux\" and platform_python_implementation != \"PyPy\" or sys_platform == \"darwin\""}
 
 [[package]]
 name = "pydantic"
@@ -5456,6 +5779,7 @@ version = "2.11.5"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "pydantic-2.11.5-py3-none-any.whl", hash = "sha256:f9c26ba06f9747749ca1e5c94d6a85cb84254577553c8785576fd38fa64dc0f7"},
     {file = "pydantic-2.11.5.tar.gz", hash = "sha256:7f853db3d0ce78ce8bbb148c401c2cdd6431b3473c0cdff2755c7690952a7b7a"},
@@ -5469,7 +5793,7 @@ typing-inspection = ">=0.4.0"
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
-timezone = ["tzdata"]
+timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""]
 
 [[package]]
 name = "pydantic-core"
@@ -5477,6 +5801,7 @@ version = "2.33.2"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "pydantic_core-2.33.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2b3d326aaef0c0399d9afffeb6367d5e26ddc24d351dbc9c636840ac355dc5d8"},
     {file = "pydantic_core-2.33.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d"},
@@ -5588,6 +5913,7 @@ version = "2.19.1"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "base", "executable-dependencies"]
 files = [
     {file = "pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c"},
     {file = "pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f"},
@@ -5602,6 +5928,7 @@ version = "2.10.1"
 description = "JSON Web Token implementation in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "PyJWT-2.10.1-py3-none-any.whl", hash = "sha256:dcdd193e30abefd5debf142f9adfcdd2b58004e644f25406ffaebd50bd98dacb"},
     {file = "pyjwt-2.10.1.tar.gz", hash = "sha256:3cc5772eb20009233caf06e9d8a0577824723b44e6648ee0a2aedb6cf9381953"},
@@ -5619,6 +5946,7 @@ version = "1.5"
 description = "Thin wrapper for pandoc."
 optional = false
 python-versions = "*"
+groups = ["base"]
 files = [
     {file = "pypandoc-1.5-py3-none-win_amd64.whl", hash = "sha256:0b8968f57be0d83f6f752c0bbc4e666d8a31b0a1cf506e9b9ee44bafdd277d04"},
     {file = "pypandoc-1.5.tar.gz", hash = "sha256:14a49977ab1fbc9b14ef3087dcb101f336851837fca55ca79cf33846cc4976ff"},
@@ -5635,6 +5963,7 @@ version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.6.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "pyparsing-3.0.9-py3-none-any.whl", hash = "sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"},
     {file = "pyparsing-3.0.9.tar.gz", hash = "sha256:2b020ecf7d21b687f219b71ecad3631f644a47f01403fa1d1036b0c6416d70fb"},
@@ -5649,6 +5978,7 @@ version = "1.9.0"
 description = "A cross-platform clipboard module for Python. (Only handles plain text for now.)"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "pyperclip-1.9.0.tar.gz", hash = "sha256:b7de0142ddc81bfc5c7507eea19da920b92252b548b96186caf94a5e2527d310"},
 ]
@@ -5659,6 +5989,7 @@ version = "1.2.0"
 description = "Wrappers to call pyproject.toml-based build backend hooks."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "pyproject_hooks-1.2.0-py3-none-any.whl", hash = "sha256:9e5c6bfa8dcc30091c74b0cf803c81fdd29d94f01992a7707bc97babb1141913"},
     {file = "pyproject_hooks-1.2.0.tar.gz", hash = "sha256:1e859bd5c40fae9448642dd871adf459e5e2084186e8d2c2a79a824c970da1f8"},
@@ -5670,6 +6001,7 @@ version = "1.32.12"
 description = "pyqrack - Pure Python vm6502q/qrack Wrapper"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "pyqrack-1.32.12-py3-none-macosx_12_0_x86_64.whl", hash = "sha256:d453059089101641f504168cabedb73eda65fb2d069c392aedac7d16fccf4543"},
     {file = "pyqrack-1.32.12-py3-none-macosx_13_0_x86_64.whl", hash = "sha256:06412d4c8f8c0cf94a8bb5ee0ad314f7ea960cc21fe01738269f6db422c3d08c"},
@@ -5691,6 +6023,7 @@ version = "0.20.0"
 description = "Persistent/Functional/Immutable data structures"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "metadata-validation"]
 files = [
     {file = "pyrsistent-0.20.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8c3aba3e01235221e5b229a6c05f585f344734bd1ad42a8ac51493d74722bbce"},
     {file = "pyrsistent-0.20.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c1beb78af5423b879edaf23c5591ff292cf7c33979734c99aa66d5914ead880f"},
@@ -5732,6 +6065,7 @@ version = "2.9.0"
 description = "PySCF: Python-based Simulations of Chemistry Framework"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "pyscf-2.9.0-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:cdce0684be3e71ad82e7885810a00214ddf153ba14f300bbcb40741e76bc3e31"},
     {file = "pyscf-2.9.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:231f99463d134a65e919882d27db5663ba01471ffee772a821e496803b507a83"},
@@ -5771,6 +6105,7 @@ version = "1.7.1"
 description = "A Python SOCKS client module. See https://github.com/Anorov/PySocks for more information."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["executable-dependencies"]
 files = [
     {file = "PySocks-1.7.1-py27-none-any.whl", hash = "sha256:08e69f092cc6dbe92a0fdd16eeb9b9ffbc13cadfe5ca4c7bd92ffb078b293299"},
     {file = "PySocks-1.7.1-py3-none-any.whl", hash = "sha256:2725bd0a9925919b9b51739eea5f9e2bae91e83288108a9ad338b2e3a4435ee5"},
@@ -5783,6 +6118,7 @@ version = "0.11.2"
 description = "Windows Negotiate Authentication Client and Server"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "pyspnego-0.11.2-py3-none-any.whl", hash = "sha256:74abc1fb51e59360eb5c5c9086e5962174f1072c7a50cf6da0bda9a4bcfdfbd4"},
     {file = "pyspnego-0.11.2.tar.gz", hash = "sha256:994388d308fb06e4498365ce78d222bf4f3570b6df4ec95738431f61510c971b"},
@@ -5793,7 +6129,7 @@ cryptography = "*"
 sspilib = {version = ">=0.1.0", markers = "sys_platform == \"win32\""}
 
 [package.extras]
-kerberos = ["gssapi (>=1.6.0)", "krb5 (>=0.3.0)"]
+kerberos = ["gssapi (>=1.6.0) ; sys_platform != \"win32\"", "krb5 (>=0.3.0) ; sys_platform != \"win32\""]
 yaml = ["ruamel.yaml"]
 
 [[package]]
@@ -5802,6 +6138,7 @@ version = "8.4.0"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "pytest-8.4.0-py3-none-any.whl", hash = "sha256:f40f825768ad76c0977cbacdf1fd37c6f7a468e460ea6a0636078f8972d4517e"},
     {file = "pytest-8.4.0.tar.gz", hash = "sha256:14d920b48472ea0dbf68e45b96cd1ffda4705f33307dcc86c676c1b5104838a6"},
@@ -5825,6 +6162,7 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["executable-dependencies", "metadata-validation"]
 files = [
     {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -5839,6 +6177,7 @@ version = "1.1.0"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "python_dotenv-1.1.0-py3-none-any.whl", hash = "sha256:d7c01d9e2293916c18baf562d95698754b0dbbb5e74d457c45d4f6561fb9d55d"},
     {file = "python_dotenv-1.1.0.tar.gz", hash = "sha256:41f90bc6f5f177fb41f53e87666db362025010eb28f60a01c9143bfa33a2b2d5"},
@@ -5849,13 +6188,14 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "python-engineio"
-version = "4.12.1"
+version = "4.11.2"
 description = "Engine.IO server and client for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["executable-dependencies"]
 files = [
-    {file = "python_engineio-4.12.1-py3-none-any.whl", hash = "sha256:9ec20d7900def0886fb9621f86fd1f05140d407f8d4e6a51bef0cfba2d112ff7"},
-    {file = "python_engineio-4.12.1.tar.gz", hash = "sha256:9f2b5a645c416208a9c727254316d487252493de52bee0ff70dc29ca9210397e"},
+    {file = "python_engineio-4.11.2-py3-none-any.whl", hash = "sha256:f0971ac4c65accc489154fe12efd88f53ca8caf04754c46a66e85f5102ef22ad"},
+    {file = "python_engineio-4.11.2.tar.gz", hash = "sha256:145bb0daceb904b4bb2d3eb2d93f7dbb7bb87a6a0c4f20a94cc8654dec977129"},
 ]
 
 [package.dependencies]
@@ -5872,6 +6212,7 @@ version = "5.13.0"
 description = "Socket.IO server and client for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "python_socketio-5.13.0-py3-none-any.whl", hash = "sha256:51f68d6499f2df8524668c24bcec13ba1414117cfb3a90115c559b601ab10caf"},
     {file = "python_socketio-5.13.0.tar.gz", hash = "sha256:ac4e19a0302ae812e23b712ec8b6427ca0521f7c582d6abb096e36e24a263029"},
@@ -5892,6 +6233,7 @@ version = "2025.2"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "pytz-2025.2-py2.py3-none-any.whl", hash = "sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"},
     {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"},
@@ -5903,6 +6245,8 @@ version = "0.2.3"
 description = "A (partial) reimplementation of pywin32 using ctypes/cffi"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "sys_platform == \"win32\""
 files = [
     {file = "pywin32-ctypes-0.2.3.tar.gz", hash = "sha256:d162dc04946d704503b2edc4d55f3dba5c1d539ead017afa00142c38b9885755"},
     {file = "pywin32_ctypes-0.2.3-py3-none-any.whl", hash = "sha256:8a1513379d709975552d202d942d9837758905c8d01eb82b8bcc30918929e7b8"},
@@ -5914,6 +6258,7 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
@@ -5976,6 +6321,7 @@ version = "0.7.0"
 description = "Library for quantum circuit rewriting and optimisation using the ZX-calculus"
 optional = false
 python-versions = ">=3.6"
+groups = ["executable-dependencies"]
 files = [
     {file = "pyzx-0.7.0-py3-none-any.whl", hash = "sha256:9a06c0547abd2d753767521f95d5e17fbc6b08eb8de8707b6424e103b803e7c4"},
     {file = "pyzx-0.7.0.tar.gz", hash = "sha256:3630ccab6df6818420efd2d4e60bb0bc8ce0461471a16071df30b4d2646074b3"},
@@ -5993,6 +6339,7 @@ version = "1.2.4"
 description = "An open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives."
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "qiskit-1.2.4-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:1cdabddeed74956ac22db8b11b3479044a305b0895b142198f11a75e745aa079"},
     {file = "qiskit-1.2.4-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:9daad1c3a0608c4a32a03112d0650cc51ced2cab16479703230acedafafa0548"},
@@ -6031,6 +6378,7 @@ version = "0.15.1"
 description = "Aer - High performance simulators for Qiskit"
 optional = false
 python-versions = ">=3.7"
+groups = ["executable-dependencies"]
 files = [
     {file = "qiskit-aer-0.15.1.tar.gz", hash = "sha256:45f320790c9239bbe781a1ee14a329a20ad08878f01746fe405c836d202b2560"},
     {file = "qiskit_aer-0.15.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d8c403b4895ac3f00fe55e72473b3f4e4fbc8840f93c75d4a33da5de4230dfef"},
@@ -6086,6 +6434,7 @@ version = "0.11.0"
 description = "Qiskit IBM Quantum Provider for accessing the quantum devices and simulators at IBM"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "qiskit_ibm_provider-0.11.0-py3-none-any.whl", hash = "sha256:3d84aff2df00d0642a9fcb53cf7f7442e62d65d3bbe13e191bc078b2ee474dc6"},
     {file = "qiskit_ibm_provider-0.11.0.tar.gz", hash = "sha256:31a29701120dd0b27e1d8e691b4e7262580cda6f85b85610697577920d8c2f0c"},
@@ -6111,6 +6460,7 @@ version = "0.29.0"
 description = "IBM Quantum client for Qiskit Runtime."
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "qiskit_ibm_runtime-0.29.0-py3-none-any.whl", hash = "sha256:efdf7116fddea966f2811237f6acb612293b1f87a8baea231ac483d486f05276"},
     {file = "qiskit_ibm_runtime-0.29.0.tar.gz", hash = "sha256:bed95faa8275930f791840be64e909f6a10835865db0bbbc16e8f4e7d6ac008e"},
@@ -6133,6 +6483,7 @@ version = "0.6.3"
 description = "Qrisp - A high level language for gate-based quantum computing"
 optional = false
 python-versions = ">=3.10"
+groups = ["executable-dependencies"]
 files = [
     {file = "qrisp-0.6.3-py3-none-any.whl", hash = "sha256:9ff28e332f025b35d927e5f4fb8da97044d9cd9c08ee614c733be829236da97a"},
     {file = "qrisp-0.6.3.tar.gz", hash = "sha256:25a3af5d4d6bd8add7dce7a9d65bf5b0cc8c9c3fe985c408832a14ea30aa0a4d"},
@@ -6163,6 +6514,7 @@ version = "1.8.2"
 description = "Quantum information and many-body library."
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "quimb-1.8.2-py3-none-any.whl", hash = "sha256:d1a3412cec0dc0df3d9c942d7331d3c5947bce79434b73fd11cca3ee51eea855"},
     {file = "quimb-1.8.2.tar.gz", hash = "sha256:f3529770da6b5283f072d8ff41b990b41a418563546376bc489b6ccc7102bec7"},
@@ -6190,6 +6542,8 @@ version = "0.6.1"
 description = "Quantum circuit simulator for research"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
+markers = "platform_machine == \"x86_64\""
 files = [
     {file = "qulacs-0.6.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f1f1951e9cb55e11ded47b7a652bb03b06f986ba19e6c2ea76b40b159f297f62"},
     {file = "qulacs-0.6.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7b922972a7b9a827c16dc9e2c14478f276ead2eacad7d545db03ab795854b94f"},
@@ -6229,6 +6583,7 @@ version = "5.1.0"
 description = "QuTiP: The Quantum Toolbox in Python"
 optional = false
 python-versions = ">=3.10"
+groups = ["executable-dependencies"]
 files = [
     {file = "qutip-5.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c571e2037b283c7e675748bea0bbac30c6b6203405072d0ee0f1c6db7e298e97"},
     {file = "qutip-5.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8c836eb256e2e31f1fc28cfc2a44f853dcb5d1316d2ce5a3d0d2e5bd76ab737c"},
@@ -6256,11 +6611,11 @@ scipy = ">=1.9"
 
 [package.extras]
 extras = ["loky", "mpmath", "tqdm"]
-full = ["cvxopt", "cvxpy (>=1.0)", "cython (>=0.29.20)", "filelock", "ipython", "loky", "matplotlib (>=3.5)", "mpmath", "pytest (>=5.2)", "pytest-rerunfailures", "setuptools", "tqdm"]
+full = ["cvxopt", "cvxpy (>=1.0)", "cython (>=0.29.20) ; python_version >= \"3.10\"", "filelock", "ipython", "loky", "matplotlib (>=3.5)", "mpmath", "pytest (>=5.2)", "pytest-rerunfailures", "setuptools", "tqdm"]
 graphics = ["matplotlib (>=3.5)"]
 ipython = ["ipython"]
 mpi = ["mpi4py"]
-runtime-compilation = ["cython (>=0.29.20)", "filelock", "setuptools"]
+runtime-compilation = ["cython (>=0.29.20) ; python_version >= \"3.10\"", "filelock", "setuptools"]
 semidefinite = ["cvxopt", "cvxpy (>=1.0)"]
 tests = ["pytest (>=5.2)", "pytest-rerunfailures"]
 
@@ -6270,6 +6625,7 @@ version = "3.13.0"
 description = "rapid fuzzy string matching"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "rapidfuzz-3.13.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:aafc42a1dc5e1beeba52cd83baa41372228d6d8266f6d803c16dbabbcc156255"},
     {file = "rapidfuzz-3.13.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:85c9a131a44a95f9cac2eb6e65531db014e09d89c4f18c7b1fa54979cb9ff1f3"},
@@ -6376,6 +6732,7 @@ version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "base", "executable-dependencies", "metadata-validation"]
 files = [
     {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
     {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
@@ -6398,6 +6755,7 @@ version = "1.3.0"
 description = "This package allows for HTTP NTLM authentication using the requests library."
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "requests_ntlm-1.3.0-py3-none-any.whl", hash = "sha256:4c7534a7d0e482bb0928531d621be4b2c74ace437e88c5a357ceb7452d25a510"},
     {file = "requests_ntlm-1.3.0.tar.gz", hash = "sha256:b29cc2462623dffdf9b88c43e180ccb735b4007228a542220e882c58ae56c668"},
@@ -6408,30 +6766,13 @@ cryptography = ">=1.3"
 pyspnego = ">=0.4.0"
 requests = ">=2.0.0"
 
-[[package]]
-name = "requests-oauthlib"
-version = "2.0.0"
-description = "OAuthlib authentication support for Requests."
-optional = false
-python-versions = ">=3.4"
-files = [
-    {file = "requests-oauthlib-2.0.0.tar.gz", hash = "sha256:b3dffaebd884d8cd778494369603a9e7b58d29111bf6b41bdc2dcd87203af4e9"},
-    {file = "requests_oauthlib-2.0.0-py2.py3-none-any.whl", hash = "sha256:7dd8a5c40426b779b0868c404bdef9768deccf22749cde15852df527e6269b36"},
-]
-
-[package.dependencies]
-oauthlib = ">=3.0.0"
-requests = ">=2.0.0"
-
-[package.extras]
-rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
-
 [[package]]
 name = "requests-toolbelt"
 version = "1.0.0"
 description = "A utility belt for advanced users of python-requests"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main"]
 files = [
     {file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"},
     {file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"},
@@ -6446,6 +6787,7 @@ version = "0.11.0"
 description = "This is a small Python module for parsing Pip requirement files."
 optional = false
 python-versions = "<4.0,>=3.8"
+groups = ["main"]
 files = [
     {file = "requirements_parser-0.11.0-py3-none-any.whl", hash = "sha256:50379eb50311834386c2568263ae5225d7b9d0867fb55cf4ecc93959de2c2684"},
     {file = "requirements_parser-0.11.0.tar.gz", hash = "sha256:35f36dc969d14830bf459803da84f314dc3d17c802592e9e970f63d0359e5920"},
@@ -6461,6 +6803,8 @@ version = "0.16.0"
 description = "A python graph library implemented in Rust"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
+markers = "platform_machine == \"x86_64\""
 files = [
     {file = "retworkx-0.16.0-py3-none-any.whl", hash = "sha256:64fc8f7f00397f76e9add1ff1e1fff2e4560aca6d03a6f4dab9d811a36d0fca3"},
 ]
@@ -6480,6 +6824,7 @@ version = "0.1.4"
 description = "A pure python RFC3339 validator"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["metadata-validation"]
 files = [
     {file = "rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa"},
     {file = "rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b"},
@@ -6494,6 +6839,7 @@ version = "1.3.8"
 description = "Parsing and validation of URIs (RFC 3986) and IRIs (RFC 3987)"
 optional = false
 python-versions = "*"
+groups = ["metadata-validation"]
 files = [
     {file = "rfc3987-1.3.8-py2.py3-none-any.whl", hash = "sha256:10702b1e51e5658843460b189b185c0366d2cf4cff716f13111b0ea9fd2dce53"},
     {file = "rfc3987-1.3.8.tar.gz", hash = "sha256:d3c4d257a560d544e9826b38bc81db676890c79ab9d7ac92b39c7a253d5ca733"},
@@ -6505,6 +6851,7 @@ version = "13.3.5"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main", "executable-dependencies"]
 files = [
     {file = "rich-13.3.5-py3-none-any.whl", hash = "sha256:69cdf53799e63f38b95b9bf9c875f8c90e78dd62b2f00c13a911c7a3b9fa4704"},
     {file = "rich-13.3.5.tar.gz", hash = "sha256:2d11b9b8dd03868f09b4fffadc84a6a8cda574e40dc90821bd845720ebb8e89c"},
@@ -6517,26 +6864,13 @@ pygments = ">=2.13.0,<3.0.0"
 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
-[[package]]
-name = "rsa"
-version = "4.9.1"
-description = "Pure-Python RSA implementation"
-optional = false
-python-versions = "<4,>=3.6"
-files = [
-    {file = "rsa-4.9.1-py3-none-any.whl", hash = "sha256:68635866661c6836b8d39430f97a996acbd61bfa49406748ea243539fe239762"},
-    {file = "rsa-4.9.1.tar.gz", hash = "sha256:e7bdbfdb5497da4c07dfd35530e1a902659db6ff241e39d9953cad06ebd0ae75"},
-]
-
-[package.dependencies]
-pyasn1 = ">=0.1.3"
-
 [[package]]
 name = "ruamel-yaml"
 version = "0.17.32"
 description = "ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order"
 optional = false
 python-versions = ">=3"
+groups = ["metadata-validation"]
 files = [
     {file = "ruamel.yaml-0.17.32-py3-none-any.whl", hash = "sha256:23cd2ed620231677564646b0c6a89d138b6822a0d78656df7abda5879ec4f447"},
     {file = "ruamel.yaml-0.17.32.tar.gz", hash = "sha256:ec939063761914e14542972a5cba6d33c23b0859ab6342f61cf070cfc600efc2"},
@@ -6555,6 +6889,8 @@ version = "0.2.12"
 description = "C version of reader, parser and emitter for ruamel.yaml derived from libyaml"
 optional = false
 python-versions = ">=3.9"
+groups = ["metadata-validation"]
+markers = "platform_python_implementation == \"CPython\""
 files = [
     {file = "ruamel.yaml.clib-0.2.12-cp310-cp310-macosx_13_0_arm64.whl", hash = "sha256:11f891336688faf5156a36293a9c362bdc7c88f03a8a027c2c1d8e0bcde998e5"},
     {file = "ruamel.yaml.clib-0.2.12-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:a606ef75a60ecf3d924613892cc603b154178ee25abb3055db5062da811fd969"},
@@ -6610,6 +6946,7 @@ version = "0.8.6"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "ruff-0.8.6-py3-none-linux_armv6l.whl", hash = "sha256:defed167955d42c68b407e8f2e6f56ba52520e790aba4ca707a9c88619e580e3"},
     {file = "ruff-0.8.6-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:54799ca3d67ae5e0b7a7ac234baa657a9c1784b48ec954a094da7c206e0365b1"},
@@ -6637,6 +6974,7 @@ version = "0.16.0"
 description = "A python graph library implemented in Rust"
 optional = false
 python-versions = ">=3.9"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "rustworkx-0.16.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:476a6c67b0142acd941691943750cc6737a48372304489969c2b62d30aaf4c27"},
     {file = "rustworkx-0.16.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:bef2ef42870f806af93979b457e240f6dfa4f867ca33965c620f3a804409ed3a"},
@@ -6665,6 +7003,8 @@ version = "1.3.0"
 description = "A set of python modules for machine learning and data mining"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
+markers = "platform_machine == \"x86_64\""
 files = [
     {file = "scikit-learn-1.3.0.tar.gz", hash = "sha256:8be549886f5eda46436b6e555b0e4873b4f10aa21c07df45c4bc1735afbccd7a"},
     {file = "scikit_learn-1.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:981287869e576d42c682cf7ca96af0c6ac544ed9316328fd0d9292795c742cf5"},
@@ -6707,6 +7047,7 @@ version = "1.14.1"
 description = "Fundamental algorithms for scientific computing in Python"
 optional = false
 python-versions = ">=3.10"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "scipy-1.14.1-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:b28d2ca4add7ac16ae8bb6632a3c86e4b9e4d52d3e34267f6e1b0c1f8d87e389"},
     {file = "scipy-1.14.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d0d2821003174de06b69e58cef2316a6622b60ee613121199cb2852a873f8cf3"},
@@ -6749,27 +7090,25 @@ numpy = ">=1.23.5,<2.3"
 [package.extras]
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+test = ["Cython", "array-api-strict (>=2.0)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja ; sys_platform != \"emscripten\"", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
 [[package]]
 name = "scipy-openblas32"
-version = "0.3.29.265.0"
+version = "0.3.29.0.0"
 description = "Provides OpenBLAS for python packaging"
 optional = false
 python-versions = ">=3.7"
+groups = ["base", "executable-dependencies"]
 files = [
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+    {file = "scipy_openblas32-0.3.29.0.0-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:768352307e56873538222526b7dbcfd3dcd8615451741d15eef9af718ac93750"},
+    {file = "scipy_openblas32-0.3.29.0.0-py3-none-win32.whl", hash = "sha256:e56c9c8e5e41d91d357b0d514fc59ca25467fbd68e5bdffa1f3dfa96f3249eb2"},
+    {file = "scipy_openblas32-0.3.29.0.0-py3-none-win_amd64.whl", hash = "sha256:8b21c803bdc344a383a1d5d392d3cfe5366d9b89d2aeee963705156000cbbc7a"},
 ]
 
 [[package]]
@@ -6778,6 +7117,7 @@ version = "3.2.7.post2"
 description = "Splitting conic solver"
 optional = false
 python-versions = ">=3.7"
+groups = ["executable-dependencies"]
 files = [
     {file = "scs-3.2.7.post2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b7271ff566ac9df929c8cf7d1b024b89c3882b541c21a7a6d9aa94480822bccb"},
     {file = "scs-3.2.7.post2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:eb2997f53ef3426934599517c6e0e77f4f05cc23c3aa2380fd176c7fd22bc0c8"},
@@ -6831,6 +7171,7 @@ version = "0.13.2"
 description = "Statistical data visualization"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "seaborn-0.13.2-py3-none-any.whl", hash = "sha256:636f8336facf092165e27924f223d3c62ca560b1f2bb5dff7ab7fad265361987"},
     {file = "seaborn-0.13.2.tar.gz", hash = "sha256:93e60a40988f4d65e9f4885df477e2fdaff6b73a9ded434c1ab356dd57eefff7"},
@@ -6852,6 +7193,8 @@ version = "3.3.3"
 description = "Python bindings to FreeDesktop.org Secret Service API"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "sys_platform == \"linux\""
 files = [
     {file = "SecretStorage-3.3.3-py3-none-any.whl", hash = "sha256:f356e6628222568e3af06f2eba8df495efa13b3b63081dafd4f7d9a7b7bc9f99"},
     {file = "SecretStorage-3.3.3.tar.gz", hash = "sha256:2403533ef369eca6d2ba81718576c5e0f564d5cca1b58f73a8b23e7d4eeebd77"},
@@ -6867,13 +7210,14 @@ version = "2.10.0"
 description = "A library implementing the 'SemVer' scheme."
 optional = false
 python-versions = ">=2.7"
+groups = ["executable-dependencies"]
 files = [
     {file = "semantic_version-2.10.0-py2.py3-none-any.whl", hash = "sha256:de78a3b8e0feda74cabc54aab2da702113e33ac9d9eb9d2389bcf1f58b7d9177"},
     {file = "semantic_version-2.10.0.tar.gz", hash = "sha256:bdabb6d336998cbb378d4b9db3a4b56a1e3235701dc05ea2690d9a997ed5041c"},
 ]
 
 [package.extras]
-dev = ["Django (>=1.11)", "check-manifest", "colorama (<=0.4.1)", "coverage", "flake8", "nose2", "readme-renderer (<25.0)", "tox", "wheel", "zest.releaser[recommended]"]
+dev = ["Django (>=1.11)", "check-manifest", "colorama (<=0.4.1) ; python_version == \"3.4\"", "coverage", "flake8", "nose2", "readme-renderer (<25.0) ; python_version == \"3.4\"", "tox", "wheel", "zest.releaser[recommended]"]
 doc = ["Sphinx", "sphinx-rtd-theme"]
 
 [[package]]
@@ -6882,19 +7226,20 @@ version = "80.9.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.9"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922"},
     {file = "setuptools-80.9.0.tar.gz", hash = "sha256:f36b47402ecde768dbfafc46e8e4207b4360c654f1f3bb84475f0a28628fb19c"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.8.0)"]
-core = ["importlib_metadata (>=6)", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.8.0) ; sys_platform != \"cygwin\""]
+core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
-type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.14.*)", "pytest-mypy"]
+test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
+type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"]
 
 [[package]]
 name = "shellingham"
@@ -6902,6 +7247,7 @@ version = "1.5.4"
 description = "Tool to Detect Surrounding Shell"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
     {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
@@ -6913,6 +7259,7 @@ version = "1.1.0"
 description = "Simple WebSocket server and client for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["executable-dependencies"]
 files = [
     {file = "simple_websocket-1.1.0-py3-none-any.whl", hash = "sha256:4af6069630a38ed6c561010f0e11a5bc0d4ca569b36306eb257cd9a192497c8c"},
     {file = "simple_websocket-1.1.0.tar.gz", hash = "sha256:7939234e7aa067c534abdab3a9ed933ec9ce4691b0713c78acb195560aa52ae4"},
@@ -6931,6 +7278,7 @@ version = "3.20.1"
 description = "Simple, fast, extensible JSON encoder/decoder for Python"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.5"
+groups = ["executable-dependencies"]
 files = [
     {file = "simplejson-3.20.1-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:f5272b5866b259fe6c33c4a8c5073bf8b359c3c97b70c298a2f09a69b52c7c41"},
     {file = "simplejson-3.20.1-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:5c0de368f3052a59a1acf21f8b2dd28686a9e4eba2da7efae7ed9554cb31e7bc"},
@@ -7050,6 +7398,7 @@ version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["base", "executable-dependencies", "metadata-validation"]
 files = [
     {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
@@ -7061,6 +7410,7 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
+groups = ["executable-dependencies"]
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
@@ -7072,6 +7422,7 @@ version = "3.0.1"
 description = "This package provides 32 stemmers for 30 languages generated from Snowball algorithms."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "snowballstemmer-3.0.1-py3-none-any.whl", hash = "sha256:6cd7b3897da8d6c9ffb968a6781fa6532dce9c3618a4b127d920dab764a19064"},
     {file = "snowballstemmer-3.0.1.tar.gz", hash = "sha256:6d5eeeec8e9f84d4d56b847692bacf79bc2c8e90c7f80ca4444ff8b6f2e52895"},
@@ -7083,6 +7434,7 @@ version = "2.4.0"
 description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "sortedcontainers-2.4.0-py2.py3-none-any.whl", hash = "sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0"},
     {file = "sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88"},
@@ -7094,6 +7446,7 @@ version = "5.3.0"
 description = "Python documentation generator"
 optional = false
 python-versions = ">=3.6"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "Sphinx-5.3.0.tar.gz", hash = "sha256:51026de0a9ff9fc13c05d74913ad66047e104f56a129ff73e174eb5c3ee794b5"},
     {file = "sphinx-5.3.0-py3-none-any.whl", hash = "sha256:060ca5c9f7ba57a08a1219e547b269fadf125ae25b06b9fa7f66768efb652d6d"},
@@ -7120,7 +7473,7 @@ sphinxcontrib-serializinghtml = ">=1.1.5"
 [package.extras]
 docs = ["sphinxcontrib-websupport"]
 lint = ["docutils-stubs", "flake8 (>=3.5.0)", "flake8-bugbear", "flake8-comprehensions", "flake8-simplify", "isort", "mypy (>=0.981)", "sphinx-lint", "types-requests", "types-typed-ast"]
-test = ["cython", "html5lib", "pytest (>=4.6)", "typed_ast"]
+test = ["cython", "html5lib", "pytest (>=4.6)", "typed_ast ; python_version < \"3.8\""]
 
 [[package]]
 name = "sphinx-gallery"
@@ -7128,6 +7481,7 @@ version = "0.17.1"
 description = "A Sphinx extension that builds an HTML gallery of examples from any set of Python scripts."
 optional = false
 python-versions = ">=3.8"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "sphinx_gallery-0.17.1-py3-none-any.whl", hash = "sha256:0a1142a15a9d63169fe7b12167dc028891fb8db31bfc6d7de03ba0d68d591830"},
     {file = "sphinx_gallery-0.17.1.tar.gz", hash = "sha256:c9969abcc5ca8c24496014da8260833b8c3ccdb32c17716b5ba66f2e0a3cc183"},
@@ -7152,6 +7506,7 @@ version = "1.0.8"
 description = "sphinxcontrib-applehelp is a Sphinx extension which outputs Apple help books"
 optional = false
 python-versions = ">=3.9"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "sphinxcontrib_applehelp-1.0.8-py3-none-any.whl", hash = "sha256:cb61eb0ec1b61f349e5cc36b2028e9e7ca765be05e49641c97241274753067b4"},
     {file = "sphinxcontrib_applehelp-1.0.8.tar.gz", hash = "sha256:c40a4f96f3776c4393d933412053962fac2b84f4c99a7982ba42e09576a70619"},
@@ -7168,6 +7523,7 @@ version = "2.0.0"
 description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp documents"
 optional = false
 python-versions = ">=3.9"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "sphinxcontrib_devhelp-2.0.0-py3-none-any.whl", hash = "sha256:aefb8b83854e4b0998877524d1029fd3e6879210422ee3780459e28a1f03a8a2"},
     {file = "sphinxcontrib_devhelp-2.0.0.tar.gz", hash = "sha256:411f5d96d445d1d73bb5d52133377b4248ec79db5c793ce7dbe59e074b4dd1ad"},
@@ -7184,6 +7540,7 @@ version = "2.1.0"
 description = "sphinxcontrib-htmlhelp is a sphinx extension which renders HTML help files"
 optional = false
 python-versions = ">=3.9"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "sphinxcontrib_htmlhelp-2.1.0-py3-none-any.whl", hash = "sha256:166759820b47002d22914d64a075ce08f4c46818e17cfc9470a9786b759b19f8"},
     {file = "sphinxcontrib_htmlhelp-2.1.0.tar.gz", hash = "sha256:c9e2916ace8aad64cc13a0d233ee22317f2b9025b9cf3295249fa985cc7082e9"},
@@ -7200,6 +7557,7 @@ version = "1.0.1"
 description = "A sphinx extension which renders display math in HTML via JavaScript"
 optional = false
 python-versions = ">=3.5"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "sphinxcontrib-jsmath-1.0.1.tar.gz", hash = "sha256:a9925e4a4587247ed2191a22df5f6970656cb8ca2bd6284309578f2153e0c4b8"},
     {file = "sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl", hash = "sha256:2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178"},
@@ -7214,6 +7572,7 @@ version = "2.0.0"
 description = "sphinxcontrib-qthelp is a sphinx extension which outputs QtHelp documents"
 optional = false
 python-versions = ">=3.9"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "sphinxcontrib_qthelp-2.0.0-py3-none-any.whl", hash = "sha256:b18a828cdba941ccd6ee8445dbe72ffa3ef8cbe7505d8cd1fa0d42d3f2d5f3eb"},
     {file = "sphinxcontrib_qthelp-2.0.0.tar.gz", hash = "sha256:4fe7d0ac8fc171045be623aba3e2a8f613f8682731f9153bb2e40ece16b9bbab"},
@@ -7230,6 +7589,7 @@ version = "2.0.0"
 description = "sphinxcontrib-serializinghtml is a sphinx extension which outputs \"serialized\" HTML files (json and pickle)"
 optional = false
 python-versions = ">=3.9"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "sphinxcontrib_serializinghtml-2.0.0-py3-none-any.whl", hash = "sha256:6e2cb0eef194e10c27ec0023bfeb25badbbb5868244cf5bc5bdc04e4464bf331"},
     {file = "sphinxcontrib_serializinghtml-2.0.0.tar.gz", hash = "sha256:e9d912827f872c029017a53f0ef2180b327c3f7fd23c87229f7a8e8b70031d4d"},
@@ -7246,6 +7606,7 @@ version = "2.3.1.3"
 description = "Sphinx objects.inv Inspection/Manipulation Tool"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "sphobjinv-2.3.1.3-py3-none-any.whl", hash = "sha256:41fc39f6f740a707cfe5b24c1a3a4a6e4ddbdd6429a59bf21f0b5ef1fddf932a"},
     {file = "sphobjinv-2.3.1.3.tar.gz", hash = "sha256:a1d51e4cf3d968b9e0d3ed1cbccea0071e5e5795f24a2d7401a4e37d6bd75717"},
@@ -7262,6 +7623,7 @@ version = "1.4.54"
 description = "Database Abstraction Library"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+groups = ["executable-dependencies"]
 files = [
     {file = "SQLAlchemy-1.4.54-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:af00236fe21c4d4f4c227b6ccc19b44c594160cc3ff28d104cdce85855369277"},
     {file = "SQLAlchemy-1.4.54-cp310-cp310-manylinux1_x86_64.manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_5_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1183599e25fa38a1a322294b949da02b4f0da13dbc2688ef9dbe746df573f8a6"},
@@ -7313,25 +7675,25 @@ files = [
 greenlet = {version = "!=0.4.17", markers = "python_version >= \"3\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
 
 [package.extras]
-aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
-aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
-asyncio = ["greenlet (!=0.4.17)"]
-asyncmy = ["asyncmy (>=0.2.3,!=0.2.4)", "greenlet (!=0.4.17)"]
-mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2)", "mariadb (>=1.0.1,!=1.1.2)"]
+aiomysql = ["aiomysql (>=0.2.0) ; python_version >= \"3\"", "greenlet (!=0.4.17) ; python_version >= \"3\""]
+aiosqlite = ["aiosqlite ; python_version >= \"3\"", "greenlet (!=0.4.17) ; python_version >= \"3\"", "typing_extensions (!=3.10.0.1)"]
+asyncio = ["greenlet (!=0.4.17) ; python_version >= \"3\""]
+asyncmy = ["asyncmy (>=0.2.3,!=0.2.4) ; python_version >= \"3\"", "greenlet (!=0.4.17) ; python_version >= \"3\""]
+mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2) ; python_version >= \"3\"", "mariadb (>=1.0.1,!=1.1.2) ; python_version >= \"3\""]
 mssql = ["pyodbc"]
 mssql-pymssql = ["pymssql", "pymssql"]
 mssql-pyodbc = ["pyodbc", "pyodbc"]
-mypy = ["mypy (>=0.910)", "sqlalchemy2-stubs"]
-mysql = ["mysqlclient (>=1.4.0)", "mysqlclient (>=1.4.0,<2)"]
+mypy = ["mypy (>=0.910) ; python_version >= \"3\"", "sqlalchemy2-stubs"]
+mysql = ["mysqlclient (>=1.4.0) ; python_version >= \"3\"", "mysqlclient (>=1.4.0,<2) ; python_version < \"3\""]
 mysql-connector = ["mysql-connector-python", "mysql-connector-python"]
-oracle = ["cx_oracle (>=7)", "cx_oracle (>=7,<8)"]
+oracle = ["cx_oracle (>=7) ; python_version >= \"3\"", "cx_oracle (>=7,<8) ; python_version < \"3\""]
 postgresql = ["psycopg2 (>=2.7)"]
-postgresql-asyncpg = ["asyncpg", "asyncpg", "greenlet (!=0.4.17)", "greenlet (!=0.4.17)"]
-postgresql-pg8000 = ["pg8000 (>=1.16.6,!=1.29.0)", "pg8000 (>=1.16.6,!=1.29.0)"]
+postgresql-asyncpg = ["asyncpg ; python_version >= \"3\"", "asyncpg ; python_version >= \"3\"", "greenlet (!=0.4.17) ; python_version >= \"3\"", "greenlet (!=0.4.17) ; python_version >= \"3\""]
+postgresql-pg8000 = ["pg8000 (>=1.16.6,!=1.29.0) ; python_version >= \"3\"", "pg8000 (>=1.16.6,!=1.29.0) ; python_version >= \"3\""]
 postgresql-psycopg2binary = ["psycopg2-binary"]
 postgresql-psycopg2cffi = ["psycopg2cffi"]
-pymysql = ["pymysql", "pymysql (<1)"]
-sqlcipher = ["sqlcipher3_binary"]
+pymysql = ["pymysql (<1) ; python_version < \"3\"", "pymysql ; python_version >= \"3\""]
+sqlcipher = ["sqlcipher3_binary ; python_version >= \"3\""]
 
 [[package]]
 name = "sqlalchemy-utils"
@@ -7339,6 +7701,7 @@ version = "0.41.2"
 description = "Various utility functions for SQLAlchemy."
 optional = false
 python-versions = ">=3.7"
+groups = ["executable-dependencies"]
 files = [
     {file = "SQLAlchemy-Utils-0.41.2.tar.gz", hash = "sha256:bc599c8c3b3319e53ce6c5c3c471120bd325d0071fb6f38a10e924e3d07b9990"},
     {file = "SQLAlchemy_Utils-0.41.2-py3-none-any.whl", hash = "sha256:85cf3842da2bf060760f955f8467b87983fb2e30f1764fd0e24a48307dc8ec6e"},
@@ -7356,8 +7719,8 @@ intervals = ["intervals (>=0.7.1)"]
 password = ["passlib (>=1.6,<2.0)"]
 pendulum = ["pendulum (>=2.0.5)"]
 phone = ["phonenumbers (>=5.9.2)"]
-test = ["Jinja2 (>=2.3)", "Pygments (>=1.2)", "backports.zoneinfo", "docutils (>=0.10)", "flake8 (>=2.4.0)", "flexmock (>=0.9.7)", "isort (>=4.2.2)", "pg8000 (>=1.12.4)", "psycopg (>=3.1.8)", "psycopg2 (>=2.5.1)", "psycopg2cffi (>=2.8.1)", "pymysql", "pyodbc", "pytest (==7.4.4)", "python-dateutil (>=2.6)", "pytz (>=2014.2)"]
-test-all = ["Babel (>=1.3)", "Jinja2 (>=2.3)", "Pygments (>=1.2)", "arrow (>=0.3.4)", "backports.zoneinfo", "colour (>=0.0.4)", "cryptography (>=0.6)", "docutils (>=0.10)", "flake8 (>=2.4.0)", "flexmock (>=0.9.7)", "furl (>=0.4.1)", "intervals (>=0.7.1)", "isort (>=4.2.2)", "passlib (>=1.6,<2.0)", "pendulum (>=2.0.5)", "pg8000 (>=1.12.4)", "phonenumbers (>=5.9.2)", "psycopg (>=3.1.8)", "psycopg2 (>=2.5.1)", "psycopg2cffi (>=2.8.1)", "pymysql", "pyodbc", "pytest (==7.4.4)", "python-dateutil", "python-dateutil (>=2.6)", "pytz (>=2014.2)"]
+test = ["Jinja2 (>=2.3)", "Pygments (>=1.2)", "backports.zoneinfo ; python_version < \"3.9\"", "docutils (>=0.10)", "flake8 (>=2.4.0)", "flexmock (>=0.9.7)", "isort (>=4.2.2)", "pg8000 (>=1.12.4)", "psycopg (>=3.1.8)", "psycopg2 (>=2.5.1)", "psycopg2cffi (>=2.8.1)", "pymysql", "pyodbc", "pytest (==7.4.4)", "python-dateutil (>=2.6)", "pytz (>=2014.2)"]
+test-all = ["Babel (>=1.3)", "Jinja2 (>=2.3)", "Pygments (>=1.2)", "arrow (>=0.3.4)", "backports.zoneinfo ; python_version < \"3.9\"", "colour (>=0.0.4)", "cryptography (>=0.6)", "docutils (>=0.10)", "flake8 (>=2.4.0)", "flexmock (>=0.9.7)", "furl (>=0.4.1)", "intervals (>=0.7.1)", "isort (>=4.2.2)", "passlib (>=1.6,<2.0)", "pendulum (>=2.0.5)", "pg8000 (>=1.12.4)", "phonenumbers (>=5.9.2)", "psycopg (>=3.1.8)", "psycopg2 (>=2.5.1)", "psycopg2cffi (>=2.8.1)", "pymysql", "pyodbc", "pytest (==7.4.4)", "python-dateutil", "python-dateutil (>=2.6)", "pytz (>=2014.2)"]
 timezone = ["python-dateutil"]
 url = ["furl (>=0.4.1)"]
 
@@ -7367,6 +7730,8 @@ version = "0.3.1"
 description = "SSPI API bindings for Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
+markers = "sys_platform == \"win32\""
 files = [
     {file = "sspilib-0.3.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:c45860bdc4793af572d365434020ff5a1ef78c42a2fc2c7a7d8e44eacaf475b6"},
     {file = "sspilib-0.3.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:62cc4de547503dec13b81a6af82b398e9ef53ea82c3535418d7d069c7a05d5cd"},
@@ -7407,6 +7772,7 @@ version = "0.6.3"
 description = "Extract data from python stack frames and tracebacks for informative displays"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
     {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
@@ -7426,6 +7792,7 @@ version = "0.46.2"
 description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "starlette-0.46.2-py3-none-any.whl", hash = "sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35"},
     {file = "starlette-0.46.2.tar.gz", hash = "sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5"},
@@ -7443,6 +7810,7 @@ version = "5.4.1"
 description = "Manage dynamic plugins for Python applications"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "stevedore-5.4.1-py3-none-any.whl", hash = "sha256:d10a31c7b86cba16c1f6e8d15416955fc797052351a56af15e608ad20811fcfe"},
     {file = "stevedore-5.4.1.tar.gz", hash = "sha256:3135b5ae50fe12816ef291baff420acb727fcd356106e3e9cbfa9e5985cd6f4b"},
@@ -7457,6 +7825,7 @@ version = "1.15.0"
 description = "A fast library for analyzing with quantum stabilizer circuits."
 optional = false
 python-versions = ">=3.6.0"
+groups = ["executable-dependencies"]
 files = [
     {file = "stim-1.15.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4c10d2022b3c4c245f5f421dbf01b012a4d04901df697d9aca69eaea329c8532"},
     {file = "stim-1.15.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6f240c196f23126bfed79bd78de5baa1fdde9c8fbfe56de032a12657fc42da37"},
@@ -7503,6 +7872,7 @@ version = "0.13.0"
 description = "Python library providing wrappers to SymEngine"
 optional = false
 python-versions = "<4,>=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "symengine-0.13.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:259fd4111c7a70c72bdff5686de1949e8132baeb612eacdaf8837720c6fe449b"},
     {file = "symengine-0.13.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:44f2eb28a1e36db0bbd6679435412f79da9743bf9c1cb3eff25e0c343b7ddd48"},
@@ -7554,6 +7924,7 @@ version = "1.12.1"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "sympy-1.12.1-py3-none-any.whl", hash = "sha256:9b2cbc7f1a640289430e13d2a56f02f867a1da0190f2f99d8968c2f74da0e515"},
     {file = "sympy-1.12.1.tar.gz", hash = "sha256:2877b03f998cd8c08f07cd0de5b767119cd3ef40d09f41c30d722f6686b0fb88"},
@@ -7568,6 +7939,7 @@ version = "0.9.0"
 description = "Pretty-print tabular data"
 optional = false
 python-versions = ">=3.7"
+groups = ["executable-dependencies"]
 files = [
     {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
     {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
@@ -7582,6 +7954,7 @@ version = "3.1.0"
 description = "Traceback serialization library."
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "tblib-3.1.0-py3-none-any.whl", hash = "sha256:670bb4582578134b3d81a84afa1b016128b429f3d48e6cbbaecc9d15675e984e"},
     {file = "tblib-3.1.0.tar.gz", hash = "sha256:06404c2c9f07f66fee2d7d6ad43accc46f9c3361714d9b8426e7f47e595cd652"},
@@ -7593,6 +7966,7 @@ version = "0.0.1"
 description = "Alias for typos of tqdm"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
     {file = "tdqm-0.0.1-py2-none-any.whl", hash = "sha256:85680e5b7d78470cd80f87f348180f3fc924afe799f472e0f2e71bc82927e0c1"},
     {file = "tdqm-0.0.1.tar.gz", hash = "sha256:f050004a76b1d22f70b78209b48781353c82440215b6ba7d22b1f499b05a0101"},
@@ -7603,23 +7977,22 @@ tqdm = "*"
 
 [[package]]
 name = "tensorboard"
-version = "2.14.1"
+version = "2.16.2"
 description = "TensorBoard lets you watch Tensors Flow"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
-    {file = "tensorboard-2.14.1-py3-none-any.whl", hash = "sha256:3db108fb58f023b6439880e177743c5f1e703e9eeb5fb7d597871f949f85fd58"},
+    {file = "tensorboard-2.16.2-py3-none-any.whl", hash = "sha256:9f2b4e7dad86667615c0e5cd072f1ea8403fc032a299f0072d6f74855775cc45"},
 ]
 
 [package.dependencies]
 absl-py = ">=0.4"
-google-auth = ">=1.6.3,<3"
-google-auth-oauthlib = ">=0.5,<1.1"
 grpcio = ">=1.48.2"
 markdown = ">=2.6.8"
 numpy = ">=1.12.0"
-protobuf = ">=3.19.6"
-requests = ">=2.21.0,<3"
+protobuf = ">=3.19.6,<4.24.0 || >4.24.0"
 setuptools = ">=41.0.0"
 six = ">1.9"
 tensorboard-data-server = ">=0.7.0,<0.8.0"
@@ -7631,6 +8004,8 @@ version = "0.7.2"
 description = "Fast data loading for TensorBoard"
 optional = false
 python-versions = ">=3.7"
+groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
     {file = "tensorboard_data_server-0.7.2-py3-none-any.whl", hash = "sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb"},
     {file = "tensorboard_data_server-0.7.2-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60"},
@@ -7639,26 +8014,33 @@ files = [
 
 [[package]]
 name = "tensorflow"
-version = "2.14.1"
+version = "2.16.2"
 description = "TensorFlow is an open source machine learning framework for everyone."
 optional = false
 python-versions = ">=3.9"
-files = [
-    {file = "tensorflow-2.14.1-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:f6e9ac1e53db30f1759148f731f87b9d12da5ce0f153fc49406824efd486aae7"},
-    {file = "tensorflow-2.14.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:7156bf1f7311dada7dba5345b526a38e6f4e4f4b8509bee162a24342bf6571b2"},
-    {file = "tensorflow-2.14.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f5781aadad5b46e2de4e373b0ca15a852b90d58982270a6db02ec52e4986316d"},
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-    {file = "tensorflow-2.14.1-cp310-cp310-win_amd64.whl", hash = "sha256:4be5f4327a6e854f64b4dcfd08a51c5fc7cc3fea8c76c5bf5c0c3deb002d5221"},
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-    {file = "tensorflow-2.14.1-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:d95404f78a8d5e3d2481383dbe2d2286341ccf9bc5cbb19d857c646494d860c6"},
-    {file = "tensorflow-2.14.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:511c4c5bfb2af17c6ca22663f98a7267c4386bf5486fbe78ee2d21482a6fa822"},
-    {file = "tensorflow-2.14.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f66d2990157cf27f80c730878cb8befa8ed9716223494037d31c80fbe5f64370"},
-    {file = "tensorflow-2.14.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a9ab2747f75aba0327bfe6092b963694f1001781e5d2c0d251dfeed02b0c3bba"},
-    {file = "tensorflow-2.14.1-cp39-cp39-win_amd64.whl", hash = "sha256:7f5c9215bc00ba88f1cde1399f8160a5cb865c20ad71a1d5a6869f9fad62d9a5"},
+groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\""
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+    {file = "tensorstore-0.1.74-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c799edf9000aee68d6676e3d2f73d4e1a56fc817c47e150732f6d3bd2b1ef46d"},
+    {file = "tensorstore-0.1.74-cp313-cp313-win_amd64.whl", hash = "sha256:5da86437ffa1ee0f0c590c38daa2f4b548890ce66b1f470ac98714cb0eabdbf5"},
+    {file = "tensorstore-0.1.74.tar.gz", hash = "sha256:a062875f27283d30ce4959c408c253ecb336fce8e3f9837c064e3d30cda79203"},
+]
+
+[package.dependencies]
+ml_dtypes = ">=0.3.1"
+numpy = ">=1.22.0"
 
 [[package]]
 name = "termcolor"
@@ -7804,6 +8209,7 @@ version = "3.1.0"
 description = "ANSI color formatting for output in terminal"
 optional = false
 python-versions = ">=3.9"
+groups = ["base", "executable-dependencies"]
 files = [
     {file = "termcolor-3.1.0-py3-none-any.whl", hash = "sha256:591dd26b5c2ce03b9e43f391264626557873ce1d379019786f99b0c2bee140aa"},
     {file = "termcolor-3.1.0.tar.gz", hash = "sha256:6a6dd7fbee581909eeec6a756cff1d7f7c376063b14e4a298dc4980309e55970"},
@@ -7818,6 +8224,7 @@ version = "0.3.6"
 description = "TF2JAX: Convert TensorFlow to JAX"
 optional = false
 python-versions = ">=3.7"
+groups = ["executable-dependencies"]
 files = [
     {file = "tf2jax-0.3.6-py3-none-any.whl", hash = "sha256:42c17bdefed405dfb3b87c3fe14107ee356a3a95e8637959f377036764488782"},
     {file = "tf2jax-0.3.6.tar.gz", hash = "sha256:b50a34cb64c866142c7717f04d70a5afcc23db23bdb41e13675e781aca9bcecb"},
@@ -7838,6 +8245,8 @@ version = "0.21.0"
 description = "Open source library for hafnian calculation"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
+markers = "platform_machine == \"x86_64\""
 files = [
     {file = "thewalrus-0.21.0-py3-none-any.whl", hash = "sha256:5f393d17fc8362e7156337faed769e99f15149040ef298d2a1be27f234aa8cb9"},
     {file = "thewalrus-0.21.0.tar.gz", hash = "sha256:a8e1d6a7dea1e2c70aeb172f2dba1dfc7fabfa6e000c8ace9c5f81c7df422637"},
@@ -7856,6 +8265,8 @@ version = "3.6.0"
 description = "threadpoolctl"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
+markers = "platform_machine == \"x86_64\""
 files = [
     {file = "threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb"},
     {file = "threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e"},
@@ -7867,6 +8278,7 @@ version = "0.10.2"
 description = "Python Library for Tom's Obvious, Minimal Language"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+groups = ["executable-dependencies"]
 files = [
     {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
@@ -7878,6 +8290,7 @@ version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "executable-dependencies"]
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
     {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
@@ -7915,13 +8328,14 @@ files = [
 
 [[package]]
 name = "tomlkit"
-version = "0.13.2"
+version = "0.13.3"
 description = "Style preserving TOML library"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "base", "executable-dependencies"]
 files = [
-    {file = "tomlkit-0.13.2-py3-none-any.whl", hash = "sha256:7a974427f6e119197f670fbbbeae7bef749a6c14e793db934baefc1b5f03efde"},
-    {file = "tomlkit-0.13.2.tar.gz", hash = "sha256:fff5fe59a87295b278abd31bec92c15d9bc4a06885ab12bcea52c71119392e79"},
+    {file = "tomlkit-0.13.3-py3-none-any.whl", hash = "sha256:c89c649d79ee40629a9fda55f8ace8c6a1b42deb912b2a8fd8d942ddadb606b0"},
+    {file = "tomlkit-0.13.3.tar.gz", hash = "sha256:430cf247ee57df2b94ee3fbe588e71d362a941ebb545dec29b53961d61add2a1"},
 ]
 
 [[package]]
@@ -7930,6 +8344,7 @@ version = "1.0.0"
 description = "List processing tools and functional utilities"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "toolz-1.0.0-py3-none-any.whl", hash = "sha256:292c8f1c4e7516bf9086f8850935c799a874039c8bcf959d47b600e4c44a6236"},
     {file = "toolz-1.0.0.tar.gz", hash = "sha256:2c86e3d9a04798ac556793bced838816296a2f085017664e4995cb40a1047a02"},
@@ -7941,6 +8356,8 @@ version = "2.1.2"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["executable-dependencies"]
+markers = "sys_platform == \"darwin\""
 files = [
     {file = "torch-2.1.2-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:3a871edd6c02dae77ad810335c0833391c1a4ce49af21ea8cf0f6a5d2096eea8"},
     {file = "torch-2.1.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:bef6996c27d8f6e92ea4e13a772d89611da0e103b48790de78131e308cf73076"},
@@ -7994,6 +8411,8 @@ version = "2.1.2+cpu"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\""
 files = [
     {file = "torch-2.1.2+cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:bf3ca897f8c7c218dd6c4b1cc5eec57b4f4e71106b0b8120e92f5fdaf4acf6cd"},
     {file = "torch-2.1.2+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:679458a652006bc5b9d3972f046ae299039dcc63f465ac623b439cbc27a3645c"},
@@ -8028,6 +8447,8 @@ version = "0.16.2"
 description = "image and video datasets and models for torch deep learning"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
+markers = "sys_platform == \"darwin\""
 files = [
     {file = "torchvision-0.16.2-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:bc86f2800cb2c0c1a09c581409cdd6bff66e62f103dc83fc63f73346264c3756"},
     {file = "torchvision-0.16.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b024bd412df6d3a007dcebf311a894eb3c5c21e1af80d12be382bbcb097a7c3a"},
@@ -8066,6 +8487,8 @@ version = "0.16.2+cpu"
 description = "image and video datasets and models for torch deep learning"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\""
 files = [
     {file = "torchvision-0.16.2+cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:63347ff53ee460c63db285ea1566692f2d88a71f43d287596ab2f1880e285d5d"},
     {file = "torchvision-0.16.2+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:bf245686cd46a108a76e0ce5dd9993baac465019ca9fb6610b2d947ed2aff381"},
@@ -8097,6 +8520,7 @@ version = "6.5.1"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "tornado-6.5.1-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:d50065ba7fd11d3bd41bcad0825227cc9a95154bad83239357094c36708001f7"},
     {file = "tornado-6.5.1-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:9e9ca370f717997cb85606d074b0e5b247282cf5e2e1611568b8821afe0342d6"},
@@ -8118,6 +8542,7 @@ version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
+groups = ["executable-dependencies"]
 files = [
     {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
     {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
@@ -8139,6 +8564,7 @@ version = "5.14.3"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
     {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
@@ -8154,6 +8580,8 @@ version = "2.1.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
     {file = "triton-2.1.0-0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:66439923a30d5d48399b08a9eae10370f6c261a5ec864a64983bae63152d39d7"},
     {file = "triton-2.1.0-0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:919b06453f0033ea52c13eaf7833de0e57db3178d23d4e04f9fc71c4f2c32bf8"},
@@ -8179,6 +8607,7 @@ version = "2025.5.9.12"
 description = "Canonical source for classifiers on PyPI (pypi.org)."
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "trove_classifiers-2025.5.9.12-py3-none-any.whl", hash = "sha256:e381c05537adac78881c8fa345fd0e9970159f4e4a04fcc42cfd3129cca640ce"},
     {file = "trove_classifiers-2025.5.9.12.tar.gz", hash = "sha256:7ca7c8a7a76e2cd314468c677c69d12cc2357711fcab4a60f87994c1589e5cb5"},
@@ -8190,6 +8619,7 @@ version = "0.15.3"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "typer-0.15.3-py3-none-any.whl", hash = "sha256:c86a65ad77ca531f03de08d1b9cb67cd09ad02ddddf4b34745b5008f43b239bd"},
     {file = "typer-0.15.3.tar.gz", hash = "sha256:818873625d0569653438316567861899f7e9972f2e6e0c16dab608345ced713c"},
@@ -8207,6 +8637,7 @@ version = "2.9.0.20250516"
 description = "Typing stubs for python-dateutil"
 optional = false
 python-versions = ">=3.9"
+groups = ["metadata-validation"]
 files = [
     {file = "types_python_dateutil-2.9.0.20250516-py3-none-any.whl", hash = "sha256:2b2b3f57f9c6a61fba26a9c0ffb9ea5681c9b83e69cd897c6b5f668d9c0cab93"},
     {file = "types_python_dateutil-2.9.0.20250516.tar.gz", hash = "sha256:13e80d6c9c47df23ad773d54b2826bd52dbbb41be87c3f339381c1700ad21ee5"},
@@ -8218,6 +8649,7 @@ version = "80.9.0.20250529"
 description = "Typing stubs for setuptools"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "types_setuptools-80.9.0.20250529-py3-none-any.whl", hash = "sha256:00dfcedd73e333a430e10db096e4d46af93faf9314f832f13b6bbe3d6757e95f"},
     {file = "types_setuptools-80.9.0.20250529.tar.gz", hash = "sha256:79e088ba0cba2186c8d6499cbd3e143abb142d28a44b042c28d3148b1e353c91"},
@@ -8229,6 +8661,7 @@ version = "4.14.0"
 description = "Backported and Experimental Type Hints for Python 3.9+"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "base", "executable-dependencies"]
 files = [
     {file = "typing_extensions-4.14.0-py3-none-any.whl", hash = "sha256:a1514509136dd0b477638fc68d6a91497af5076466ad0fa6c338e44e359944af"},
     {file = "typing_extensions-4.14.0.tar.gz", hash = "sha256:8676b788e32f02ab42d9e7c61324048ae4c6d844a399eebace3d4979d75ceef4"},
@@ -8240,6 +8673,7 @@ version = "0.4.1"
 description = "Runtime typing introspection tools"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "typing_inspection-0.4.1-py3-none-any.whl", hash = "sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51"},
     {file = "typing_inspection-0.4.1.tar.gz", hash = "sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28"},
@@ -8254,6 +8688,7 @@ version = "2025.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
+groups = ["executable-dependencies"]
 files = [
     {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"},
     {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"},
@@ -8265,6 +8700,7 @@ version = "1.3.0"
 description = "RFC 6570 URI Template Processor"
 optional = false
 python-versions = ">=3.7"
+groups = ["metadata-validation"]
 files = [
     {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"},
     {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"},
@@ -8279,13 +8715,14 @@ version = "2.4.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "base", "executable-dependencies", "metadata-validation"]
 files = [
     {file = "urllib3-2.4.0-py3-none-any.whl", hash = "sha256:4e16665048960a0900c702d4a66415956a584919c03361cac9f1df5c5dd7e813"},
     {file = "urllib3-2.4.0.tar.gz", hash = "sha256:414bc6535b787febd7567804cc015fee39daab8ad86268f1310a9250697de466"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
@@ -8296,6 +8733,7 @@ version = "0.5.31"
 description = "An extremely fast Python package and project manager, written in Rust."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "base"]
 files = [
     {file = "uv-0.5.31-py3-none-linux_armv6l.whl", hash = "sha256:ba5707a6e363284ba1acd29ae9e70e2377ed31e272b953069798c444bae847ef"},
     {file = "uv-0.5.31-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:3169a373d0d41571a7b9d4a442f875f6e26250693ced7779f62461f52ba1da64"},
@@ -8323,6 +8761,7 @@ version = "0.18.3"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.7"
+groups = ["executable-dependencies"]
 files = [
     {file = "uvicorn-0.18.3-py3-none-any.whl", hash = "sha256:0abd429ebb41e604ed8d2be6c60530de3408f250e8d2d84967d85ba9e86fe3af"},
     {file = "uvicorn-0.18.3.tar.gz", hash = "sha256:9a66e7c42a2a95222f76ec24a4b754c158261c4696e683b9dadc72b590e0311b"},
@@ -8335,12 +8774,12 @@ h11 = ">=0.8"
 httptools = {version = ">=0.4.0", optional = true, markers = "extra == \"standard\""}
 python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""}
-uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "(sys_platform != \"win32\" and sys_platform != \"cygwin\") and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
+uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
 watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 websockets = {version = ">=10.0", optional = true, markers = "extra == \"standard\""}
 
 [package.extras]
-standard = ["colorama (>=0.4)", "httptools (>=0.4.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.0)"]
+standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.4.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.0)"]
 
 [[package]]
 name = "uvloop"
@@ -8348,6 +8787,8 @@ version = "0.21.0"
 description = "Fast implementation of asyncio event loop on top of libuv"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["executable-dependencies"]
+markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\""
 files = [
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@@ -8399,6 +8840,7 @@ version = "20.31.2"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
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@@ -8411,7 +8853,7 @@ platformdirs = ">=3.9.1,<5"
 
 [package.extras]
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+test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"GraalVM\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""]
 
 [[package]]
 name = "waitress"
@@ -8419,6 +8861,7 @@ version = "3.0.2"
 description = "Waitress WSGI server"
 optional = false
 python-versions = ">=3.9.0"
+groups = ["executable-dependencies"]
 files = [
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@@ -8434,6 +8877,7 @@ version = "6.0.0"
 description = "Filesystem events monitoring"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
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@@ -8476,6 +8920,7 @@ version = "1.0.5"
 description = "Simple, modern and high performance file watching and code reload in python."
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
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@@ -8559,6 +9004,7 @@ version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
+groups = ["executable-dependencies"]
 files = [
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@@ -8570,6 +9016,7 @@ version = "24.11.1"
 description = "A library for working with the color formats defined by HTML and CSS."
 optional = false
 python-versions = ">=3.9"
+groups = ["metadata-validation"]
 files = [
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@@ -8581,6 +9028,7 @@ version = "1.8.0"
 description = "WebSocket client for Python with low level API options"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"},
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@@ -8597,6 +9045,7 @@ version = "15.0.1"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "websockets-15.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d63efaa0cd96cf0c5fe4d581521d9fa87744540d4bc999ae6e08595a1014b45b"},
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@@ -8675,6 +9124,7 @@ version = "3.1.3"
 description = "The comprehensive WSGI web application library."
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
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@@ -8692,6 +9142,7 @@ version = "0.45.1"
 description = "A built-package format for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["base", "executable-dependencies"]
 files = [
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@@ -8702,85 +9153,91 @@ test = ["pytest (>=6.0.0)", "setuptools (>=65)"]
 
 [[package]]
 name = "wrapt"
-version = "1.14.1"
+version = "1.17.2"
 description = "Module for decorators, wrappers and monkey patching."
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
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+    {file = "wrapt-1.17.2-py3-none-any.whl", hash = "sha256:b18f2d1533a71f069c7f82d524a52599053d4c7166e9dd374ae2136b7f40f7c8"},
+    {file = "wrapt-1.17.2.tar.gz", hash = "sha256:41388e9d4d1522446fe79d3213196bd9e3b301a336965b9e27ca2788ebd122f3"},
 ]
 
 [[package]]
@@ -8789,6 +9246,7 @@ version = "1.2.0"
 description = "WebSockets state-machine based protocol implementation"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["executable-dependencies"]
 files = [
     {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
     {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
@@ -8803,6 +9261,7 @@ version = "0.3.7"
 description = "Sphinx theme for Xanadu open-source Python packages"
 optional = false
 python-versions = "*"
+groups = ["base"]
 files = [
     {file = "xanadu-sphinx-theme-0.3.7.tar.gz", hash = "sha256:b4a02f13314639d7ab4657cb88486b1d18830c88adad9fec683dc853985cecbf"},
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@@ -8820,6 +9279,8 @@ version = "1.1.4"
 description = "Python wrapper for extended filesystem attributes"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "sys_platform == \"darwin\""
 files = [
     {file = "xattr-1.1.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:acb85b6249e9f3ea10cbb56df1021d43f4027212f0d004304bc9075dc7f54769"},
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@@ -8905,6 +9366,7 @@ version = "1.20.0"
 description = "Yet another URL library"
 optional = false
 python-versions = ">=3.9"
+groups = ["executable-dependencies"]
 files = [
     {file = "yarl-1.20.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f1f6670b9ae3daedb325fa55fbe31c22c8228f6e0b513772c2e1c623caa6ab22"},
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@@ -9023,6 +9485,7 @@ version = "3.0.0"
 description = "Mutable mapping tools"
 optional = false
 python-versions = ">=3.8"
+groups = ["executable-dependencies"]
 files = [
     {file = "zict-3.0.0-py2.py3-none-any.whl", hash = "sha256:5796e36bd0e0cc8cf0fbc1ace6a68912611c1dbd74750a3f3026b9b9d6a327ae"},
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@@ -9030,53 +9493,59 @@ files = [
 
 [[package]]
 name = "zipp"
-version = "3.22.0"
+version = "3.21.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "executable-dependencies"]
 files = [
-    {file = "zipp-3.22.0-py3-none-any.whl", hash = "sha256:fe208f65f2aca48b81f9e6fd8cf7b8b32c26375266b009b413d45306b6148343"},
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+    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
+    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib_resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]
 
 [[package]]
 name = "zstd"
-version = "1.5.7.0"
+version = "1.5.6.4"
 description = "ZSTD Bindings for Python"
 optional = false
 python-versions = "*"
-files = [
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-    {file = "zstd-1.5.7.0-cp27-cp27mu-manylinux_2_4_x86_64.whl", hash = "sha256:1723c1cc4d8e91ea030f2aa6865b7561ebf3dbda9bb440dd37b4934f8269a2a9"},
-    {file = "zstd-1.5.7.0-cp310-cp310-manylinux_2_4_i686.whl", hash = "sha256:6602773265f7ce56231fcdfd5da88ea6110a550097a130e45002adf663d270bd"},
-    {file = "zstd-1.5.7.0-cp310-cp310-manylinux_2_4_x86_64.whl", hash = "sha256:97bf1771bbe20dfe02e04be4b2b58abad81ce63fc77b1cb10a0a2791adce6b3c"},
-    {file = "zstd-1.5.7.0-cp311-cp311-manylinux_2_4_i686.whl", hash = "sha256:7a841c812a043d58ce8c828e432ffd55f4174ea5a256c7b69bc1169d602a19d9"},
-    {file = "zstd-1.5.7.0-cp311-cp311-manylinux_2_4_x86_64.whl", hash = "sha256:75c89680703359dd62df4457e7d867b1a30174a74551ae7671d36b368a4bc254"},
-    {file = "zstd-1.5.7.0-cp312-cp312-manylinux_2_4_i686.whl", hash = "sha256:b0fe6bcdfdfd2a28853943bea3bfbc6bec6b1361852c10211dca8d3ebbd7e152"},
-    {file = "zstd-1.5.7.0-cp34-cp34m-manylinux_2_4_i686.whl", hash = "sha256:3e4fdcd635697b6e1253fed0269f915a440338070c3689580c49feb4ac51ff69"},
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-    {file = "zstd-1.5.7.0-cp35-cp35m-manylinux_2_14_x86_64.whl", hash = "sha256:b10383f1522f665ed41d64d443e1faaf32e57d765ba41114b9513a0d3c94e010"},
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-    {file = "zstd-1.5.7.0-cp37-cp37m-manylinux_2_4_x86_64.whl", hash = "sha256:421841878d735b140bbecbccdf155171cc2577ac7ac7112d0cc50c22b0f43a34"},
-    {file = "zstd-1.5.7.0-cp38-cp38-manylinux_2_4_i686.whl", hash = "sha256:9651d78ca11008b46d823c85b66c00eed302048c5d1c7d69b7c60fa551042ba1"},
-    {file = "zstd-1.5.7.0-cp38-cp38-manylinux_2_4_x86_64.whl", hash = "sha256:9ceafd836c65ecf05696a32dee769f24a8f1fca5417a5d25077da9dc37d0e252"},
-    {file = "zstd-1.5.7.0-cp39-cp39-manylinux_2_4_i686.whl", hash = "sha256:4e22bc6d14cf8b8187420fda11c9f2adbe93297c4986a03c002468f72baf706d"},
-    {file = "zstd-1.5.7.0-cp39-cp39-manylinux_2_4_x86_64.whl", hash = "sha256:26f5a4affb223fc3cb40c0b5a03af37aa60e2bc2f7801448701f3f3b61bce3cf"},
-    {file = "zstd-1.5.7.0.tar.gz", hash = "sha256:afe4f5dc80ffaa3c97be48b2f74065883c4607610f9af3e8f7101c3a5047915a"},
+groups = ["executable-dependencies"]
+files = [
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+    {file = "zstd-1.5.6.4-cp27-cp27mu-manylinux_2_4_i686.whl", hash = "sha256:d82836e8b8f018b3c81c21272a52e846cde9fe2a15c623fb2123991495c172c2"},
+    {file = "zstd-1.5.6.4-cp310-cp310-manylinux_2_34_x86_64.whl", hash = "sha256:47a1ff3b19611c7e6fc26343eae1446840019ce8929b318fa0ee9e7a627a693f"},
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+    {file = "zstd-1.5.6.4-cp314-cp314-manylinux_2_34_x86_64.whl", hash = "sha256:a6d1cd2332784a7df0ec9ad6c831005e6448c88a26a0d3faf20c95d1243b7ce7"},
+    {file = "zstd-1.5.6.4-cp34-cp34m-manylinux_2_4_i686.whl", hash = "sha256:bb1603dbe9206048b0ff0d236044097e7eacac9a34a705b75a44e061109ec8a5"},
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+    {file = "zstd-1.5.6.4-cp35-cp35m-manylinux_2_4_x86_64.whl", hash = "sha256:f9cf995aedb25edee4719416fb470f9509d57b373a7c284746d5cb62d87968ce"},
+    {file = "zstd-1.5.6.4-cp36-cp36m-manylinux_2_4_i686.whl", hash = "sha256:a7dc8dacb439c31e04f3c85d16963f2857dc72ef58d2ff93656466f8ea8821da"},
+    {file = "zstd-1.5.6.4-cp36-cp36m-manylinux_2_4_x86_64.whl", hash = "sha256:15e5d94b43de79f12e4f4593807e38e5feb45f98c97edf37f9a059bc077704ec"},
+    {file = "zstd-1.5.6.4-cp37-cp37m-manylinux_2_34_x86_64.whl", hash = "sha256:fc520742e1abbbae2b2725f19bbd7e3054c976a65cebbfc3409c5252c957f74f"},
+    {file = "zstd-1.5.6.4-cp37-cp37m-manylinux_2_4_i686.whl", hash = "sha256:a95e5d242bf118bf563fc6c41da3ccb5783f0dd91138518932ff6a993df26be2"},
+    {file = "zstd-1.5.6.4-cp38-cp38-manylinux_2_34_x86_64.whl", hash = "sha256:4902457fa6949a8d560ebc58dafe0ecf3920ed3bad241a3b524ff1528a96eb11"},
+    {file = "zstd-1.5.6.4-cp38-cp38-manylinux_2_4_i686.whl", hash = "sha256:af39dffca687de4e90093d12a76db7d7a6e61f9838fbb37a475747e71d170bfd"},
+    {file = "zstd-1.5.6.4-cp39-cp39-manylinux_2_34_x86_64.whl", hash = "sha256:36b59c03e2d72daf544a5f1a54d4298ed6b0ae5876e44e77f96e37cd937df02e"},
+    {file = "zstd-1.5.6.4-cp39-cp39-manylinux_2_4_i686.whl", hash = "sha256:7d9b3830736908ef7ebc6f371be8ea6a2eeaaa0db780e83d8736024827cee78b"},
+    {file = "zstd-1.5.6.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:b5c35e5343a7ca30cc3f6ea8ad06d3198688eefdde7effae52ba8cb28af993da"},
+    {file = "zstd-1.5.6.4-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:2922f39cd54b3887182bf50c1ea397f667aecd95c126c75c237470176da6fa52"},
+    {file = "zstd-1.5.6.4.tar.gz", hash = "sha256:f8adbf9813bf24b4faa6a15854137addec14c7166bc15491e3827ec88f3048bb"},
 ]
 
 [metadata]
-lock-version = "2.0"
+lock-version = "2.1"
 python-versions = "~3.10.0"
-content-hash = "0c353c45d288dc8a65eeaacd5a1e171341a39e0d13558345b51dd631619e7377"
+content-hash = "fec6ce20a69c9a8c64a6c7a5593fbb60e9cf01838d1db22c70ca67e466413f1d"
diff --git a/pyproject.toml b/pyproject.toml
index ec48a1de1b..737f9c2e86 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -68,7 +68,7 @@ numpy = "~1.24"
 matplotlib = "3.7.2"
 jax = "0.4.28"
 jaxlib = "0.4.28"
-jaxopt = "0.8.3"
+jaxopt = "0.8.5"
 seaborn = "0.13.2"
 kahypar = "1.1.7"
 openfermionpyscf = "0.5"
@@ -80,7 +80,7 @@ neural-tangents = "0.6.2"
 plotly = ">=4.5.0"
 pydantic = "^2.8.2"
 ply = "3.11"
-optax = "0.2.3"
+optax = "0.2.4"
 flax = "0.9.0"
 qutip = "5.1.0"
 mitiq = "0.43.0"
@@ -114,12 +114,12 @@ torchvision = [
 
 # The following packages are platform locked to not install on MacOS as the installation breaks
 scikit-learn = { version = "1.3.0", markers = "platform_machine == 'x86_64'" }
-tensorflow = { version = "2.14.1", markers = "platform_machine == 'x86_64'" }
+tensorflow = { version = "2.16.2", markers = "platform_machine == 'x86_64'" }
 flamingpy = { version = ">=0.10.1b1", markers = "platform_machine == 'x86_64'" }
 qulacs = { version = "0.6.1", markers = "platform_machine == 'x86_64'" }
 
 # The following packages are only installed on MacOS for compatibility
-tensorflow-macos = { version = "2.14.1", markers = "sys_platform == 'darwin' and platform_machine == 'arm64'" }
+tensorflow-macos = { version = "2.16.2", markers = "sys_platform == 'darwin' and platform_machine == 'arm64'" }
 
 [tool.poetry.group.metadata-validation]
 optional = true

From 49680433ab0ecd261306de8e511b487b15c3e8ef Mon Sep 17 00:00:00 2001
From: Rashid N H M <95639609+rashidnhm@users.noreply.github.com>
Date: Thu, 19 Jun 2025 10:51:02 -0400
Subject: [PATCH 03/22] Update lockfile

---
 poetry.lock | 145 ++++++++--------------------------------------------
 1 file changed, 20 insertions(+), 125 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index bbf0cddbdf..b276200afb 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2115,6 +2115,7 @@ description = "The FlatBuffers serialization format for Python"
 optional = false
 python-versions = "*"
 groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
     {file = "flatbuffers-25.2.10-py2.py3-none-any.whl", hash = "sha256:ebba5f4d5ea615af3f7fd70fc310636fbb2bbd1f566ac0a23d98dd412de50051"},
     {file = "flatbuffers-25.2.10.tar.gz", hash = "sha256:97e451377a41262f8d9bd4295cc836133415cc03d8cb966410a4af92eb00d26e"},
@@ -2153,7 +2154,7 @@ name = "fonttools"
 version = "4.56.0"
 description = "Tools to manipulate font files"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.8"
 groups = ["executable-dependencies"]
 files = [
     {file = "fonttools-4.56.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:331954d002dbf5e704c7f3756028e21db07097c19722569983ba4d74df014000"},
@@ -2465,43 +2466,6 @@ files = [
     {file = "gast-0.6.0.tar.gz", hash = "sha256:88fc5300d32c7ac6ca7b515310862f71e6fdf2c029bbec7c66c0f5dd47b6b1fb"},
 ]
 
-[[package]]
-name = "google-auth"
-version = "1.6.3"
-description = "Google Authentication Library"
-optional = false
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*"
-groups = ["executable-dependencies"]
-files = [
-    {file = "google-auth-1.6.3.tar.gz", hash = "sha256:0f7c6a64927d34c1a474da92cfc59e552a5d3b940d3266606c6a28b72888b9e4"},
-    {file = "google_auth-1.6.3-py2.py3-none-any.whl", hash = "sha256:20705f6803fd2c4d1cc2dcb0df09d4dfcb9a7d51fd59e94a3a28231fd93119ed"},
-]
-
-[package.dependencies]
-cachetools = ">=2.0.0"
-pyasn1-modules = ">=0.2.1"
-rsa = ">=3.1.4"
-six = ">=1.9.0"
-
-[[package]]
-name = "google-auth-oauthlib"
-version = "0.5.3"
-description = "Google Authentication Library"
-optional = false
-python-versions = ">=3.6"
-groups = ["executable-dependencies"]
-files = [
-    {file = "google-auth-oauthlib-0.5.3.tar.gz", hash = "sha256:307d21918d61a0741882ad1fd001c67e68ad81206451d05fc4d26f79de56fc90"},
-    {file = "google_auth_oauthlib-0.5.3-py2.py3-none-any.whl", hash = "sha256:9e8ff4ed2b21c174a2d6cc2172c698dbf0b1f686509774c663a83c495091fe09"},
-]
-
-[package.dependencies]
-google-auth = ">=1.0.0"
-requests-oauthlib = ">=0.7.0"
-
-[package.extras]
-tool = ["click (>=6.0.0)"]
-
 [[package]]
 name = "google-pasta"
 version = "0.2.0"
@@ -2509,6 +2473,7 @@ description = "pasta is an AST-based Python refactoring library"
 optional = false
 python-versions = "*"
 groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
     {file = "google-pasta-0.2.0.tar.gz", hash = "sha256:c9f2c8dfc8f96d0d5808299920721be30c9eec37f2389f28904f454565c8a16e"},
     {file = "google_pasta-0.2.0-py2-none-any.whl", hash = "sha256:4612951da876b1a10fe3960d7226f0c7682cf901e16ac06e473b267a5afa8954"},
@@ -2523,7 +2488,7 @@ name = "greenlet"
 version = "3.1.1"
 description = "Lightweight in-process concurrent programming"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.7"
 groups = ["executable-dependencies"]
 markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""
 files = [
@@ -2611,8 +2576,9 @@ name = "grpcio"
 version = "1.70.0"
 description = "HTTP/2-based RPC framework"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.8"
 groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
     {file = "grpcio-1.70.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:95469d1977429f45fe7df441f586521361e235982a0b39e33841549143ae2851"},
     {file = "grpcio-1.70.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:ed9718f17fbdb472e33b869c77a16d0b55e166b100ec57b016dc7de9c8d236bf"},
@@ -3293,6 +3259,7 @@ description = "Multi-backend Keras"
 optional = false
 python-versions = ">=3.9"
 groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
     {file = "keras-3.10.0-py3-none-any.whl", hash = "sha256:c095a6bf90cd50defadf73d4859ff794fad76b775357ef7bd1dbf96388dae7d3"},
     {file = "keras-3.10.0.tar.gz", hash = "sha256:6e9100bf66eaf6de4b7f288d34ef9bb8b5dcdd62f42c64cfd910226bb34ad2d2"},
@@ -3429,6 +3396,7 @@ description = "Clang Python Bindings, mirrored from the official LLVM repo: http
 optional = false
 python-versions = "*"
 groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
     {file = "libclang-18.1.1-1-py2.py3-none-macosx_11_0_arm64.whl", hash = "sha256:0b2e143f0fac830156feb56f9231ff8338c20aecfe72b4ffe96f19e5a1dbb69a"},
     {file = "libclang-18.1.1-py2.py3-none-macosx_10_9_x86_64.whl", hash = "sha256:6f14c3f194704e5d09769108f03185fce7acaf1d1ae4bbb2f30a72c2400cb7c5"},
@@ -3661,6 +3629,7 @@ description = "Python implementation of John Gruber's Markdown."
 optional = false
 python-versions = ">=3.9"
 groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
     {file = "markdown-3.8-py3-none-any.whl", hash = "sha256:794a929b79c5af141ef5ab0f2f642d0f7b1872981250230e72682346f7cc90dc"},
     {file = "markdown-3.8.tar.gz", hash = "sha256:7df81e63f0df5c4b24b7d156eb81e4690595239b7d70937d0409f1b0de319c6f"},
@@ -3910,7 +3879,7 @@ name = "ml-dtypes"
 version = "0.3.2"
 description = ""
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 groups = ["executable-dependencies"]
 files = [
     {file = "ml_dtypes-0.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7afde548890a92b41c0fed3a6c525f1200a5727205f73dc21181a2726571bb53"},
@@ -4557,23 +4526,6 @@ files = [
     {file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"},
 ]
 
-[[package]]
-name = "oauthlib"
-version = "3.2.2"
-description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
-optional = false
-python-versions = ">=3.6"
-groups = ["executable-dependencies"]
-files = [
-    {file = "oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca"},
-    {file = "oauthlib-3.2.2.tar.gz", hash = "sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918"},
-]
-
-[package.extras]
-rsa = ["cryptography (>=3.0.0)"]
-signals = ["blinker (>=1.4.0)"]
-signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
-
 [[package]]
 name = "openfermion"
 version = "1.6.1"
@@ -5819,33 +5771,6 @@ files = [
 [package.extras]
 tests = ["pytest"]
 
-[[package]]
-name = "pyasn1"
-version = "0.6.1"
-description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
-optional = false
-python-versions = ">=3.8"
-groups = ["executable-dependencies"]
-files = [
-    {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"},
-    {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"},
-]
-
-[[package]]
-name = "pyasn1-modules"
-version = "0.4.2"
-description = "A collection of ASN.1-based protocols modules"
-optional = false
-python-versions = ">=3.8"
-groups = ["executable-dependencies"]
-files = [
-    {file = "pyasn1_modules-0.4.2-py3-none-any.whl", hash = "sha256:29253a9207ce32b64c3ac6600edc75368f98473906e8fd1043bd6b5b1de2c14a"},
-    {file = "pyasn1_modules-0.4.2.tar.gz", hash = "sha256:677091de870a80aae844b1ca6134f54652fa2c8c5a52aa396440ac3106e941e6"},
-]
-
-[package.dependencies]
-pyasn1 = ">=0.6.1,<0.7.0"
-
 [[package]]
 name = "pycparser"
 version = "2.22"
@@ -6852,25 +6777,6 @@ cryptography = ">=1.3"
 pyspnego = ">=0.4.0"
 requests = ">=2.0.0"
 
-[[package]]
-name = "requests-oauthlib"
-version = "2.0.0"
-description = "OAuthlib authentication support for Requests."
-optional = false
-python-versions = ">=3.4"
-groups = ["executable-dependencies"]
-files = [
-    {file = "requests-oauthlib-2.0.0.tar.gz", hash = "sha256:b3dffaebd884d8cd778494369603a9e7b58d29111bf6b41bdc2dcd87203af4e9"},
-    {file = "requests_oauthlib-2.0.0-py2.py3-none-any.whl", hash = "sha256:7dd8a5c40426b779b0868c404bdef9768deccf22749cde15852df527e6269b36"},
-]
-
-[package.dependencies]
-oauthlib = ">=3.0.0"
-requests = ">=2.0.0"
-
-[package.extras]
-rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
-
 [[package]]
 name = "requests-toolbelt"
 version = "1.0.0"
@@ -6969,21 +6875,6 @@ pygments = ">=2.13.0,<3.0.0"
 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
-[[package]]
-name = "rsa"
-version = "4.9.1"
-description = "Pure-Python RSA implementation"
-optional = false
-python-versions = "<4,>=3.6"
-groups = ["executable-dependencies"]
-files = [
-    {file = "rsa-4.9.1-py3-none-any.whl", hash = "sha256:68635866661c6836b8d39430f97a996acbd61bfa49406748ea243539fe239762"},
-    {file = "rsa-4.9.1.tar.gz", hash = "sha256:e7bdbfdb5497da4c07dfd35530e1a902659db6ff241e39d9953cad06ebd0ae75"},
-]
-
-[package.dependencies]
-pyasn1 = ">=0.1.3"
-
 [[package]]
 name = "ruamel-yaml"
 version = "0.17.32"
@@ -8102,6 +7993,7 @@ description = "TensorBoard lets you watch Tensors Flow"
 optional = false
 python-versions = ">=3.9"
 groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
     {file = "tensorboard-2.16.2-py3-none-any.whl", hash = "sha256:9f2b4e7dad86667615c0e5cd072f1ea8403fc032a299f0072d6f74855775cc45"},
 ]
@@ -8124,6 +8016,7 @@ description = "Fast data loading for TensorBoard"
 optional = false
 python-versions = ">=3.7"
 groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
     {file = "tensorboard_data_server-0.7.2-py3-none-any.whl", hash = "sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb"},
     {file = "tensorboard_data_server-0.7.2-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60"},
@@ -8137,7 +8030,7 @@ description = "TensorFlow is an open source machine learning framework for every
 optional = false
 python-versions = ">=3.9"
 groups = ["executable-dependencies"]
-markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\""
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\""
 files = [
     {file = "tensorflow-2.16.2-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:546dc68d0740fb4b75593a6bfa308da9526fe31f65c2181d48c8551c4a0ad02f"},
     {file = "tensorflow-2.16.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:72c84f0e0f8ad0e7cb7b4b3fe9d1c899e6cbebc51c0e64df42a2a32a904aacd7"},
@@ -8193,8 +8086,9 @@ name = "tensorflow-intel"
 version = "2.16.2"
 description = "TensorFlow is an open source machine learning framework for everyone."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 groups = ["executable-dependencies"]
+markers = "platform_machine == \"arm64\" and platform_system == \"Windows\" and sys_platform == \"darwin\""
 files = [
     {file = "tensorflow_intel-2.16.2-cp310-cp310-win_amd64.whl", hash = "sha256:484024ee68c3bcea12e76b2358ed671cf02e71d121280268c3ee03d9513dd4ce"},
     {file = "tensorflow_intel-2.16.2-cp311-cp311-win_amd64.whl", hash = "sha256:d508e15fae4a60f233794c591d4b0e4b1ed92ccb3f017fd107950f5f45f3bd43"},
@@ -8236,6 +8130,7 @@ description = "TensorFlow IO"
 optional = false
 python-versions = "<3.13,>=3.7"
 groups = ["executable-dependencies"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
     {file = "tensorflow_io_gcs_filesystem-0.37.1-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:249c12b830165841411ba71e08215d0e94277a49c551e6dd5d72aab54fe5491b"},
     {file = "tensorflow_io_gcs_filesystem-0.37.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:257aab23470a0796978efc9c2bcf8b0bc80f22e6298612a4c0a50d3f4e88060c"},
@@ -8289,7 +8184,7 @@ name = "tensorstore"
 version = "0.1.74"
 description = "Read and write large, multi-dimensional arrays"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.10"
 groups = ["executable-dependencies"]
 files = [
     {file = "tensorstore-0.1.74-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:edfae80aceb05640ac2209a11a4b76cecd5d9c4a95c01ede8c89c8edaa90f9d5"},
@@ -9272,7 +9167,7 @@ name = "wrapt"
 version = "1.17.2"
 description = "Module for decorators, wrappers and monkey patching."
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
+python-versions = ">=3.8"
 groups = ["executable-dependencies"]
 files = [
     {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3d57c572081fed831ad2d26fd430d565b76aa277ed1d30ff4d40670b1c0dd984"},
@@ -9624,7 +9519,7 @@ check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib_resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]
 
 [[package]]
@@ -9664,4 +9559,4 @@ files = [
 [metadata]
 lock-version = "2.1"
 python-versions = "~3.10.0"
-content-hash = "b259bee232437bc221b8520099bb9797dfd235fd3e2e2ac604c675fdfceded18"
+content-hash = "1ff4d16940f887028e0858a425e2a524049c051c348c9512d8dece2e246d6785"

From 2ae496e8d9195be62295e8d3fded2022d136b485 Mon Sep 17 00:00:00 2001
From: Alan Martin <53958929+Alan-eMartin@users.noreply.github.com>
Date: Thu, 19 Jun 2025 17:02:38 -0400
Subject: [PATCH 04/22] sync v2 with latest dev (#1415)

## Summary:
Run `qml sync-v2` from `dev`/`latest` to sync changes in
`demonstrations` to `demonstrations_v2`.
---
 demonstrations_v2/tutorial_QGAN/demo.py       |  14 +-
 demonstrations_v2/tutorial_QGAN/metadata.json |   2 +-
 .../tutorial_block_encoding/demo.py           |  25 +-
 .../demo.py                                   |  18 +-
 .../metadata.json                             |   2 +-
 demonstrations_v2/tutorial_pasqal/demo.py     |   7 +-
 .../tutorial_pasqal/metadata.json             |   2 +-
 demonstrations_v2/zne_catalyst/demo.py        | 312 ++++++++++++++++++
 demonstrations_v2/zne_catalyst/metadata.json  |  84 +++++
 .../zne_catalyst/requirements.in              |   0
 10 files changed, 435 insertions(+), 31 deletions(-)
 create mode 100644 demonstrations_v2/zne_catalyst/demo.py
 create mode 100644 demonstrations_v2/zne_catalyst/metadata.json
 create mode 100644 demonstrations_v2/zne_catalyst/requirements.in

diff --git a/demonstrations_v2/tutorial_QGAN/demo.py b/demonstrations_v2/tutorial_QGAN/demo.py
index bc51ac55e2..ff9b6adeba 100644
--- a/demonstrations_v2/tutorial_QGAN/demo.py
+++ b/demonstrations_v2/tutorial_QGAN/demo.py
@@ -212,9 +212,12 @@ def gen_cost(gen_weights):
 cost = lambda: disc_cost(disc_weights)
 
 for step in range(50):
-    opt.minimize(cost, [disc_weights])
+    with tf.GradientTape() as tape:
+        loss_value = cost()
+    gradients = tape.gradient(loss_value, [disc_weights])
+    opt.apply_gradients(zip(gradients, [disc_weights]))
     if step % 5 == 0:
-        cost_val = cost().numpy()
+        cost_val = loss_value.numpy()
         print("Step {}: cost = {}".format(step, cost_val))
 
 
@@ -242,9 +245,12 @@ def gen_cost(gen_weights):
 cost = lambda: gen_cost(gen_weights)
 
 for step in range(50):
-    opt.minimize(cost, [gen_weights])
+    with tf.GradientTape() as tape:
+        loss_value = cost()
+    gradients = tape.gradient(loss_value, [gen_weights])
+    opt.apply_gradients(zip(gradients, [gen_weights]))
     if step % 5 == 0:
-        cost_val = cost().numpy()
+        cost_val = loss_value.numpy()
         print("Step {}: cost = {}".format(step, cost_val))
 
 
diff --git a/demonstrations_v2/tutorial_QGAN/metadata.json b/demonstrations_v2/tutorial_QGAN/metadata.json
index 2cf2f49c60..a8a1788db2 100644
--- a/demonstrations_v2/tutorial_QGAN/metadata.json
+++ b/demonstrations_v2/tutorial_QGAN/metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2019-10-11T00:00:00+00:00",
-    "dateOfLastModification": "2024-10-07T00:00:00+00:00",
+    "dateOfLastModification": "2025-06-10T00:00:00+00:00",
     "categories": [
         "Quantum Machine Learning"
     ],
diff --git a/demonstrations_v2/tutorial_block_encoding/demo.py b/demonstrations_v2/tutorial_block_encoding/demo.py
index 22494eaf9e..cc5f74d59b 100644
--- a/demonstrations_v2/tutorial_block_encoding/demo.py
+++ b/demonstrations_v2/tutorial_block_encoding/demo.py
@@ -104,8 +104,8 @@
 # The next step is to identify and prepare the qubit registers used in the oracle access framework.
 # There are three registers :code:`"ancilla"`, :code:`"wires_i"`, :code:`"wires_j"`. The
 # :code:`"ancilla"` register will always contain a single qubit, this is the auxilary qubit where we
-# apply the rotation gates mentioned above. The :code:`"wires_i"` and :code:`"wires_j"` registers are 
-# the same size for this algorithm and need to be able to encode :math:`A` itself, so they will both 
+# apply the rotation gates mentioned above. The :code:`"wires_i"` and :code:`"wires_j"` registers are
+# the same size for this algorithm and need to be able to encode :math:`A` itself, so they will both
 # have :math:`2` qubits for our matrix.
 
 ancilla_wires = ["ancilla"]
@@ -118,11 +118,8 @@
 # Finally, we obtain the control wires for the C-NOT gates and a wire map that we later use to
 # translate the control wires into the wire registers we prepared.
 
-code = gray_code(2 * np.log2(len(A)))
-n_selections = len(code)
-
-control_wires = [int(np.log2(int(code[i], 2) ^ int(code[(i + 1) %
-                 n_selections], 2))) for i in range(n_selections)]
+code = gray_code(int(2 * np.log2(len(A))))
+control_wires = np.log2(code ^ np.roll(code, -1)).astype(int)
 
 wire_map = {control_index : wire for control_index, wire in enumerate(wires_j + wires_i)}
 
@@ -236,16 +233,16 @@ def UA(thetas, control_wires, ancilla):
 # The quantum circuit for the oracle :math:`U_A,` presented above, accesses every entry of
 # :math:`A` and thus requires :math:`~ O(N^2)` gates to implement the oracle [#fable]_. In the
 # special cases where :math:`A` is structured and sparse, we can generate a more efficient quantum
-# circuit representation for :math:`U_A` and :math:`U_B` [#sparse]_ by only keeping track of the 
-# non-zero entries of the matrix. 
+# circuit representation for :math:`U_A` and :math:`U_B` [#sparse]_ by only keeping track of the
+# non-zero entries of the matrix.
 #
 # Let :math:`b(i,j)` be a function such that it takes a column index :math:`j` and returns the
-# row index for the :math:`i^{th}` non-zero entry in that column of :math:`A.` Note, in this 
-# formulation, the :math:`|i\rangle` qubit register now refers to the number of non-zero entries 
+# row index for the :math:`i^{th}` non-zero entry in that column of :math:`A.` Note, in this
+# formulation, the :math:`|i\rangle` qubit register now refers to the number of non-zero entries
 # in :math:`A.` For sparse matrices, this can be much smaller than :math:`N,` thus saving us many
 # qubits. We use this to define :math:`U_A` and :math:`U_B.`
 #
-# Like in the structured approach, the :math:`U_A` oracle is responsible for encoding the matrix 
+# Like in the structured approach, the :math:`U_A` oracle is responsible for encoding the matrix
 # entries of :math:`A` into the amplitude of the ancilla qubit. However, we now use :math:`b(i,j)`
 # to access the row index of the non-zero entries:
 #
@@ -253,7 +250,7 @@ def UA(thetas, control_wires, ancilla):
 #
 #     U_A |0\rangle_{\text{anc}} |i\rangle |j\rangle = |A_{b(i,j),j}\rangle_{\text{anc}} |i\rangle |j\rangle,
 #
-# In this case the :math:`U_B` oracle is responsible for implementing the :math:`b(i,j)` function 
+# In this case the :math:`U_B` oracle is responsible for implementing the :math:`b(i,j)` function
 # and taking us from the column index to the row index in the qubit register:
 #
 # .. math:: U_B |i\rangle|j\rangle \ = \ |i\rangle |b(i,j)\rangle
@@ -286,7 +283,7 @@ def UA(thetas, control_wires, ancilla):
 
 ##############################################################################
 # Once again we identify and prepare the qubit registers used in the oracle access framework.
-# 
+#
 # The :code:`"ancilla"` register will still contain a single qubit, the target for the
 # controlled rotation gates. The :code:`"wires_i"` register needs to be large enough to binary
 # encode the maximum number of non-zero entries in any column or row. Given the structure of
diff --git a/demonstrations_v2/tutorial_iqp_circuit_optimization_jax/demo.py b/demonstrations_v2/tutorial_iqp_circuit_optimization_jax/demo.py
index 989d6c9ac5..821875da0d 100644
--- a/demonstrations_v2/tutorial_iqp_circuit_optimization_jax/demo.py
+++ b/demonstrations_v2/tutorial_iqp_circuit_optimization_jax/demo.py
@@ -134,11 +134,12 @@ def penn_iqp_gates(params: np.ndarray, gates: list, n_qubits: int):
     for i in range(n_qubits):
         qml.Hadamard(i)
 
+
 ######################################################################
 # Now we have our circuit, we can evaluate expectation values of tensor products of Pauli Z operators
 # specified by lists of the form ``op`` above.
 #
-def penn_obs(op: np.ndarray) -> qml.operation.Observable:
+def penn_obs(op: np.ndarray) -> qml.operation.Operator:
     """Returns a PennyLane observable from a bitstring representation.
 
     Args:
@@ -158,6 +159,7 @@ def penn_obs(op: np.ndarray) -> qml.operation.Observable:
                 obs @= qml.Z(i)
     return obs
 
+
 def penn_iqp_circuit(params: np.ndarray, gates: list, op: np.ndarray, n_qubits: int) -> qml.measurements.ExpectationMP:
     """Defines the circuit that calculates the expectation value of the operator with the IQP circuit with PennyLane tools.
 
@@ -552,8 +554,8 @@ def loss_fn(params, circuit, ops, n_samples, key):
 # machinery. We can then compare our trained and untrained samples with the ground truth through a
 # histogram of the bitstring weights and evaluate the distributions.
 #
-samples_untrained = circuit.sample(params_init, 1000)
-samples_trained = circuit.sample(trainer.final_params, 1000)
+samples_untrained = circuit.sample(params_init, shots=1000)
+samples_trained = circuit.sample(trainer.final_params, shots=1000)
 
 plt.hist(np.sum(samples_untrained, axis=1), bins=20, range=[0,20], alpha=0.5, label = 'untrained circuit')
 plt.hist(np.sum(samples_trained, axis=1), bins=20, range=[0,20], alpha=0.5, label = 'trained circuit')
@@ -594,22 +596,22 @@ def loss_fn(params, circuit, ops, n_samples, key):
 #
 # .. [#nest]
 #
-#    M. Van den Nest.   
+#    M. Van den Nest.
 #    "Simulating quantum computers with probabilistic methods"
 #    `arXiv:0911.1624 <https://arxiv.org/abs/0911.1624>`__, 2010.
 #
 # .. [#gretton]
 #
-#    Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander Smola. 
+#    Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander Smola.
 #    "A Kernel Two-Sample Test"
 #    `http://jmlr.org/papers/v13/gretton12a.html <http://jmlr.org/papers/v13/gretton12a.html>`__, in Journal of Machine Learning Research 13.25, pp. 723-773, 2012.
 #
 # .. [#ravuri]
 #
-#    Suman Ravuri, Mélanie Rey, Shakir Mohamed, Marc Peter Deisenroth. 
+#    Suman Ravuri, Mélanie Rey, Shakir Mohamed, Marc Peter Deisenroth.
 #    "Understanding Deep Generative Models with Generalized Empirical Likelihoods"
 #    `arXiv:2306.09780 <https://arxiv.org/abs/2306.09780>`__, 2023.
-# 
+#
 # About the authors
 # ----------------
-# 
+#
diff --git a/demonstrations_v2/tutorial_iqp_circuit_optimization_jax/metadata.json b/demonstrations_v2/tutorial_iqp_circuit_optimization_jax/metadata.json
index f045cffd4e..c65fc9b253 100644
--- a/demonstrations_v2/tutorial_iqp_circuit_optimization_jax/metadata.json
+++ b/demonstrations_v2/tutorial_iqp_circuit_optimization_jax/metadata.json
@@ -9,7 +9,7 @@
         }
     ],
     "dateOfPublication": "2025-02-14T09:00:00+00:00",
-    "dateOfLastModification": "2025-02-14T09:00:00+00:00",
+    "dateOfLastModification": "2025-06-02T09:00:00+00:00",
     "categories": [
         "Optimization",
         "Algorithms"
diff --git a/demonstrations_v2/tutorial_pasqal/demo.py b/demonstrations_v2/tutorial_pasqal/demo.py
index b49898f392..5bc8ae70e5 100644
--- a/demonstrations_v2/tutorial_pasqal/demo.py
+++ b/demonstrations_v2/tutorial_pasqal/demo.py
@@ -320,10 +320,13 @@ def cost():
     output = (-circuit(weights, data) + 1) / 2
     return tf.abs(output - label) ** 2
 
-opt = tf.keras.optimizers.Adam(learning_rate=0.1)
+opt = tf.optimizers.Adam(learning_rate=0.1)
 
 for step in range(100):
-    opt.minimize(cost, [weights])
+    with tf.GradientTape() as tape:
+        loss_value = cost()
+    gradients = tape.gradient(loss_value, [weights])
+    opt.apply_gradients(zip(gradients, [weights]))
     if step % 5 == 0:
         print("Step {}: cost={}".format(step, cost()))
 
diff --git a/demonstrations_v2/tutorial_pasqal/metadata.json b/demonstrations_v2/tutorial_pasqal/metadata.json
index f5decd0ac3..bcafc117f7 100644
--- a/demonstrations_v2/tutorial_pasqal/metadata.json
+++ b/demonstrations_v2/tutorial_pasqal/metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2020-10-13T00:00:00+00:00",
-    "dateOfLastModification": "2024-10-07T00:00:00+00:00",
+    "dateOfLastModification": "2025-06-10T00:00:00+00:00",
     "categories": [
         "Quantum Hardware",
         "Quantum Computing"
diff --git a/demonstrations_v2/zne_catalyst/demo.py b/demonstrations_v2/zne_catalyst/demo.py
new file mode 100644
index 0000000000..0addd8d542
--- /dev/null
+++ b/demonstrations_v2/zne_catalyst/demo.py
@@ -0,0 +1,312 @@
+r"""
+Digital zero-noise extrapolation (ZNE) with Catalyst
+====================================================
+
+In this tutorial, you will learn how to use :doc:`error mitigation <tutorial_error_mitigation>`, and in particular 
+the zero-noise extrapolation (ZNE) technique, in combination with 
+`Catalyst <https://docs.pennylane.ai/projects/catalyst>`_, a framework for quantum 
+just-in-time (JIT) compilation with PennyLane. 
+We'll demonstrate how to generate noise-scaled circuits, execute them on a noisy quantum
+simulator, and use extrapolation techniques to estimate the zero-noise result, all while
+leveraging JIT compilation through Catalyst.
+
+.. image:: ../_static/demo_thumbnails/regular_demo_thumbnails/thumbnail_zne_catalyst.png
+    :width: 70%
+    :align: center
+
+The demo :doc:`Error mitigation with Mitiq and PennyLane <tutorial_error_mitigation>`
+shows how ZNE, along with other error mitigation techniques, can be carried out in PennyLane
+by using `Mitiq <https://github.com/unitaryfund/mitiq>`__, a Python library developed 
+by `Unitary Fund <https://unitary.fund/>`__.
+
+ZNE in particular is also offered out of the box in PennyLane as a *differentiable* error mitigation technique,
+for usage in combination with variational workflows. More on this in the tutorial
+:doc:`Differentiating quantum error mitigation transforms <tutorial_diffable-mitigation>`.
+
+On top of the error mitigation routines offered in PennyLane, ZNE is also available for just-in-time
+(JIT) compilation. In this tutorial we see how an error mitigation routine can be
+integrated in a Catalyst workflow.
+
+At the end of the tutorial, we will compare the execution time of ZNE routines in
+pure PennyLane vs. PennyLane and Catalyst with JIT.
+
+What is zero-noise extrapolation (ZNE)
+--------------------------------------
+Zero-noise extrapolation (ZNE) is a technique used to mitigate the effect of noise on quantum
+computations. First introduced in [#zne-2017]_, it helps improve the accuracy of quantum
+results by running circuits at varying noise levels and extrapolating back to a hypothetical
+zero-noise case. While this tutorial won't delve into the theory behind ZNE in detail (for which we
+recommend reading the `Mitiq docs <https://mitiq.readthedocs.io/en/stable/guide/zne-5-theory.html>`_
+and the references, including Mitiq's whitepaper [#mitiq-2022]_), let's first review what happens when using the protocol in practice.
+
+Stage 1: Generating noise-scaled circuits
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+ZNE works by generating circuits with **increased** noise. Catalyst implements the unitary folding
+framework introduced in [#dzne-2020]_ for generating noise-scaled circuits. In particular, 
+the following two methods are available:
+
+1. **Global folding**: If a circuit implements a global unitary :math:`U`, global folding applies
+   :math:`U(U^\dagger U)^n` for some integer :math:`n`,
+   effectively scaling the noise in the entire circuit.
+2. **Local folding**: Individual gates are repeated (or folded) in contrast with the entire
+   circuit.
+
+Stage 2: Running the circuits
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Once noise-scaled circuits are created, they need to be run! These can be executed on either real
+quantum hardware or a noisy quantum simulator. In this tutorial, we'll use the
+`Qrack quantum simulator <https://qrack.readthedocs.io/>`_, which is both compatible with Catalyst,
+and implements a noise model. For more about the integration of Qrack and Catalyst, see
+the demo :doc:`QJIT compilation with Qrack and Catalyst <qrack>`.
+
+Stage 3: Combining the results
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+After executing the noise-scaled circuits, an extrapolation on the results is performed  
+to estimate the zero-noise limit---the result we would expect in a noise-free scenario. 
+Catalyst provides **polynomial** and **exponential** extrapolation methods.
+
+These three stages illustrate what happens behind the scenes when using a ZNE routine. 
+However, from the user's perspective, one only needs to define the initial circuit, 
+the noise scaling method, and the extrapolation method. The rest is taken care of by Catalyst.
+"""
+
+##############################################################################
+# .. note ::
+#
+#    To follow along with this demonstration, it is required to
+#    `install Catalyst <https://docs.pennylane.ai/projects/catalyst/en/stable/dev/installation.html>`__,
+#    as well as the `PennyLane-Qrack plugin <https://pennylane-qrack.readthedocs.io/en/latest/installation.html>`__.
+#
+#    .. code-block:: bash
+#
+#      pip install -U pennylane-catalyst pennylane-qrack 
+# 
+
+##############################################################################
+# Defining the mirror circuit
+# ---------------------------
+# The first step for demoing an error mitigation routine is to define a circuit. 
+# Here we build a simple mirror circuit starting off a `unitary 2-design <https://en.wikipedia.org/wiki/Quantum_t-design>`__. 
+# This is a typical construction for a randomized benchmarking circuit, which is used in many tasks
+# in quantum computing. Given such circuit, we measure the expectation value :math:`\langle Z\rangle` 
+# on the state of the first qubit, and by construction of the circuit, we expect this value to be
+# equal to 1.
+
+import numpy as np
+import pennylane as qml
+from catalyst import mitigate_with_zne
+
+n_wires = 3
+
+np.random.seed(42)
+
+n_layers = 5
+template = qml.SimplifiedTwoDesign
+weights_shape = template.shape(n_layers, n_wires)
+w1, w2 = [2 * np.pi * np.random.random(s) for s in weights_shape]
+
+def circuit(w1, w2):
+    template(w1, w2, wires=range(n_wires))
+    qml.adjoint(template)(w1, w2, wires=range(n_wires))
+    return qml.expval(qml.PauliZ(0))
+
+##############################################################################
+# As a sanity check, we first execute the circuit on the Qrack simulator without any noise.
+
+noiseless_device = qml.device("qrack.simulator", n_wires, noise=0)
+
+ideal_value = qml.QNode(circuit, device=noiseless_device)(w1, w2)
+print(f"Ideal value: {ideal_value}")
+
+##############################################################################
+# In the noiseless scenario, the expectation value of the Pauli-Z measurement
+# is equal to 1, since the first qubit is back in the :math:`|0\rangle` state.
+#
+# Mitigating the noisy circuit
+# ----------------------------
+# Let's now run the circuit through a noisy scenario. The Qrack simulator models noise by
+# applying single-qubit depolarizing noise channels to all qubits in all gates of the circuit.
+# The probability of error is specified by the value of the ``noise`` constructor argument.
+
+NOISE_LEVEL = 0.01
+noisy_device = qml.device("qrack.simulator", n_wires, shots=1000, noise=NOISE_LEVEL)
+
+noisy_qnode = qml.QNode(circuit, device=noisy_device, mcm_method="one-shot")
+noisy_value = noisy_qnode(w1, w2)
+print(f"Error without mitigation: {abs(ideal_value - noisy_value):.3f}")
+
+##############################################################################
+# Again expected, we obtain a noisy value that diverges from the ideal value we obtained above.
+# Fortunately, we have error mitigation to the rescue! We can apply ZNE, however we are still
+# missing some necessary parameters. In particular we still need to specify:
+#
+# 1. The method for scaling this noise up (in Catalyst there are two options: ``global`` and
+#    ``local``).
+# 2. The noise scaling factors (i.e. how much to increase the depth of the circuit).
+# 3. The extrapolation technique used to estimate the ideal value (available in Catalyst are
+#    polynomial and exponential extrapolation).
+#
+# First, we choose a method to scale the noise. This needs to be specified as a Python string.
+
+folding_method = "global"
+
+##############################################################################
+# Next, we pick a list of scale factors. At the time of writing this tutorial,
+# Catalyst supports only odd integer scale factors. In the global folding setting,
+# a scale factor  :math:`s` correspond to the circuit being folded
+# :math:`\frac{s - 1}{2}` times.
+scale_factors = [1, 3, 5]
+
+##############################################################################
+# Finally, we'll choose the extrapolation technique. Both exponential and polynomial extrapolation
+# is available in the :mod:`qml.transforms <pennylane.transforms>` module, and both of these functions can be passed directly
+# into Catalyst's :func:`catalyst.mitigate_with_zne` function. In this tutorial we use polynomial extrapolation,
+# which we hypothesize best models the behavior of the noise scenario we are considering.
+
+from pennylane.transforms import poly_extrapolate
+from functools import partial
+
+extrapolation_method = partial(poly_extrapolate, order=2)
+
+##############################################################################
+# We're now ready to run our example using ZNE with Catalyst! Putting these all together we're able
+# to define a very simple :func:`~.QNode`, which represents the mitigated version of the original circuit.
+
+
+@qml.qjit
+def mitigated_circuit_qjit(w1, w2):
+    return mitigate_with_zne(
+        noisy_qnode,
+        scale_factors=scale_factors,
+        extrapolate=extrapolation_method,
+        folding=folding_method,
+    )(w1, w2)
+
+
+zne_value = mitigated_circuit_qjit(w1, w2)
+
+print(f"Error with ZNE in Catalyst: {abs(ideal_value - zne_value):.3f}")
+
+##############################################################################
+# It's crucial to note that we can use the :func:`~.qjit` decorator here, as all the functions used
+# to define the node are compatible with Catalyst, and we can therefore
+# exploit the potential of just-in-time compilation.
+#
+# Benchmarking
+# ------------
+# For comparison, let's define a very similar :func:`~.qnode`, but this time we don't decorate the node
+# as just-in-time compilable.
+# When it comes to the parameters, the only difference here (due to an implementation technicality)
+# is the type of the ``folding`` argument. Despite the type being different, however,
+# the value of the folding method is the same, i.e., global folding.
+
+
+def mitigated_circuit(w1, w2):
+    return qml.transforms.mitigate_with_zne(
+        noisy_qnode,
+        scale_factors=scale_factors,
+        extrapolate=extrapolation_method,
+        folding=qml.transforms.fold_global,
+    )(w1, w2)
+
+
+zne_value = mitigated_circuit(w1, w2)
+
+print(f"Error with ZNE in PennyLane: {abs(ideal_value - zne_value):.3f}")
+
+##############################################################################
+# To showcase the impact of JIT compilation, we use Python's ``timeit`` module
+# to measure execution time of ``mitigated_circuit_qjit`` vs. ``mitigated_circuit``.
+# 
+# Note: for the purpose of this last example, we reduce the number of shots of the simulator to 100,
+# since we don't need the accuracy required for the previous demonstration. We do so in order to 
+# reduce the running time of this tutorial, while still showcasing the performance differences.  
+import timeit
+
+noisy_device = qml.device("qrack.simulator", n_wires, shots=100, noise=NOISE_LEVEL)
+noisy_qnode = qml.QNode(circuit, device=noisy_device, mcm_method="one-shot")
+
+@qml.qjit
+def mitigated_circuit_qjit(w1, w2):
+    return mitigate_with_zne(
+        noisy_qnode,
+        scale_factors=scale_factors,
+        extrapolate=extrapolation_method,
+        folding=folding_method,
+    )(w1, w2)
+
+repeat = 5  # number of timing runs
+number = 5  # number of loops executed in each timing run
+
+times = timeit.repeat("mitigated_circuit(w1, w2)", globals=globals(), number=number, repeat=repeat)
+
+print(f"mitigated_circuit running time (best of {repeat}): {min(times):.3f}s")
+
+times = timeit.repeat(
+    "mitigated_circuit_qjit(w1, w2)", globals=globals(), number=number, repeat=repeat
+)
+
+print(f"mitigated_circuit_qjit running time (best of {repeat}): {min(times):.3f}s")
+
+##############################################################################
+# Already with the simple circuit we started with, and with the simple parameters in our example,
+# we can appreciate the performance differences. That was at the cost of very minimal syntax change.
+#
+# There are still reasons to use ZNE in PennyLane without :func:`~.qjit`, for instance,
+# whenever the device of choice is not supported by Catalyst. To help,
+# we conclude with a landscape of the QEM techniques available in the PennyLane ecosystem.
+#
+# .. list-table::
+#     :widths: 30 20 20 20 20 30
+#     :align: center
+#     :header-rows: 0
+#
+#     * - **Framework**
+#       - **ZNE folding**
+#       - **ZNE extrapolation**
+#       - **Differentiable**
+#       - **JIT**
+#       - **Other QEM techniques**
+#     * - PennyLane + Mitiq
+#       - global, local, random
+#       - polynomial, exponential
+#       - –
+#       - –
+#       - ✅
+#     * - PennyLane transforms
+#       - global, local
+#       - polynomial, exponential
+#       - ✅
+#       - –
+#       - –
+#     * - Catalyst (experimental)
+#       - global, local
+#       - polynomial, exponential
+#       - ✅
+#       - ✅
+#       - –
+
+
+##############################################################################
+#
+# References
+# ----------
+#
+# .. [#zne-2017] K. Temme, S. Bravyi, J. M. Gambetta
+#     `"Error Mitigation for Short-Depth Quantum Circuits" <https://arxiv.org/abs/1612.02058>`_,
+#     Phys. Rev. Lett. 119, 180509 (2017).
+#
+# .. [#dzne-2020] Tudor Giurgica-Tiron, Yousef Hindy, Ryan LaRose, Andrea Mari, and William J. Zeng, 
+#     `"Digital zero noise extrapolation for quantum error mitigation" <https://arxiv.org/abs/2005.10921v2>`__, 
+#     IEEE International Conference on Quantum Computing and Engineering (2020).
+#
+# .. [#mitiq-2022]
+#     Ryan LaRose and Andrea Mari and Sarah Kaiser and Peter J. Karalekas and Andre A. Alves and 
+#     Piotr Czarnik and Mohamed El Mandouh and Max H. Gordon and Yousef Hindy and Aaron Robertson 
+#     and Purva Thakre and Misty Wahl and Danny Samuel and Rahul Mistri and Maxime Tremblay 
+#     and Nick Gardner and Nathaniel T. Stemen and Nathan Shammah and William J. Zeng, 
+#     `"Mitiq: A software package for error mitigation on noisy quantum computers" <https://doi.org/10.22331/q-2022-08-11-774>`__, 
+#     Quantum (2022).
diff --git a/demonstrations_v2/zne_catalyst/metadata.json b/demonstrations_v2/zne_catalyst/metadata.json
new file mode 100644
index 0000000000..f9cc710683
--- /dev/null
+++ b/demonstrations_v2/zne_catalyst/metadata.json
@@ -0,0 +1,84 @@
+{
+    "title": "Digital zero-noise extrapolation with Catalyst",
+    "authors": [
+        {
+            "username": "cosenal"
+        },
+        {
+            "username": "natestemen"
+        }
+    ],
+    "dateOfPublication": "2024-11-15T00:00:00+00:00",
+    "dateOfLastModification": "2024-11-25T09:00:00+00:00",
+    "categories": [
+        "Algorithms",
+        "Quantum Computing"
+    ],
+    "tags": [],
+    "previewImages": [
+        {
+            "type": "thumbnail",
+            "uri": "/_static/demo_thumbnails/regular_demo_thumbnails/thumbnail_zne_catalyst.png"
+        },
+        {
+            "type": "large_thumbnail",
+            "uri": "/_static/demo_thumbnails/large_demo_thumbnails/thumbnail_large_zne_catalyst.png"
+        }
+    ],
+    "seoDescription": "Learn to use error mitigation and the digital zero-noise extrapolation (ZNE) technique with Catalyst, the PennyLane framework for quantum JIT compilation.",
+    "doi": "",
+    "references": [
+        {
+            "id": "dzne-2020",
+            "type": "article",
+            "title": "Digital zero noise extrapolation for quantum error mitigation",
+            "authors": "Tudor Giurgica-Tiron, Yousef Hindy, Ryan LaRose, Andrea Mari, and William J. Zeng",
+            "year": "2020",
+            "publisher": "IEEE",
+            "journal": "2020 IEEE International Conference on Quantum Computing and Engineering (QCE)",
+            "doi": "10.1109/QCE49297.2020.00045",
+            "url": "https://arxiv.org/abs/2005.10921v2"
+        },
+        {
+            "id": "zne-2017",
+            "type": "article",
+            "title": "Error Mitigation for Short-Depth Quantum Circuits",
+            "authors": "K. Temme, S. Bravyi, J. M. Gambetta",
+            "year": "2017",
+            "publisher": "",
+            "journal": "Phys. Rev. Lett. 119, 180509",
+            "doi": "10.1103/PhysRevLett.119.180509",
+            "url": "https://arxiv.org/abs/1612.02058"
+        },
+        {
+            "id": "mitiq-2022",
+            "type": "article",
+            "title": "Mitiq: A software package for error mitigation on noisy quantum computers",
+            "authors": "Ryan LaRose and Andrea Mari and Sarah Kaiser and Peter J. Karalekas and Andre A. Alves and Piotr Czarnik and Mohamed El Mandouh and Max H. Gordon and Yousef Hindy and Aaron Robertson and Purva Thakre and Misty Wahl and Danny Samuel and Rahul Mistri and Maxime Tremblay and Nick Gardner and Nathaniel T. Stemen and Nathan Shammah and William J. Zeng",
+            "year": "2022",
+            "publisher": "Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften",
+            "journal": "Quantum",
+            "doi": "10.22331/q-2022-08-11-774",
+            "url": "https://doi.org/10.22331/q-2022-08-11-774"
+        }
+    ],
+    "basedOnPapers": [],
+    "referencedByPapers": [],
+    "relatedContent": [
+        {
+            "type": "demonstration",
+            "id": "tutorial_error_mitigation",
+            "weight": 1.0
+        },
+        {
+            "type": "demonstration",
+            "id": "qrack",
+            "weight": 1.0
+        },
+        {
+            "type": "demonstration",
+            "id": "tutorial_diffable-mitigation",
+            "weight": 1.0
+        }
+    ]
+}
diff --git a/demonstrations_v2/zne_catalyst/requirements.in b/demonstrations_v2/zne_catalyst/requirements.in
new file mode 100644
index 0000000000..e69de29bb2

From 2ceccbc14db35b93f658eba3da64313cf994d1b3 Mon Sep 17 00:00:00 2001
From: Mudit Pandey <18223836+mudit2812@users.noreply.github.com>
Date: Mon, 7 Jul 2025 15:26:08 -0400
Subject: [PATCH 05/22] macos makefile fix (#1427)

Update `Makefile` to be compatible with MacOS.
Add small note to README about the recommended way to install Poetry.

[sc-94732]

---------

Co-authored-by: Rashid N H M <95639609+rashidnhm@users.noreply.github.com>
---
 Makefile  | 4 ++--
 README.md | 5 ++++-
 2 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/Makefile b/Makefile
index f86e9adedd..294a7f3831 100644
--- a/Makefile
+++ b/Makefile
@@ -62,6 +62,8 @@ download:
 	wget --no-verbose -N https://download.pytorch.org/tutorial/hymenoptera_data.zip -P $(DATADIR)
 	unzip -q -o $(DATADIR)/hymenoptera_data.zip -d $(DATADIR)/
 
+# TODO: Remove numpy installation command on next release. Currently Catalyst 0.11 pins jaxlib to 0.4.8
+# TODO: Update flax, or certain tutorials e.g. tutorial_rl_pulse.py will fail due to implicit confliction between jax==0.6.0 and flax==0.9.0
 environment:
 	@command -v $(POETRY_BIN) --version >/dev/null 2>&1 || { echo >&2 "Setting up the environment requires a valid installation of python-poetry. Please install and add poetry to PATH or pass the executable using POETRY_BIN. Aborting."; exit 1; }
 	@if [ '$(BASE_ONLY)' = 'true' ]; then\
@@ -80,9 +82,7 @@ environment:
 			$$PYTHON_VENV_PATH/bin/python -m pip install --extra-index-url https://test.pypi.org/simple/ PennyLane-Lightning --pre --upgrade;\
 			$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/PennyLaneAI/pennylane.git#egg=pennylane;\
 			$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/XanaduAI/iqpopt.git#egg=iqpopt;\
-			# TODO: Remove this on next release. Currently Catalyst 0.11 pins jaxlib to 0.4.8;\
 			$$PYTHON_VENV_PATH/bin/python -m pip install 'numpy<2';\
-			# TODO: Update flax, or certain tutorials e.g. tutorial_rl_pulse.py will fail due to implicit confliction between jax==0.6.0 and flax==0.9.0;\
 			$$PYTHON_VENV_PATH/bin/python -m pip install jax==0.6.0 jaxlib==0.6.0 flax==0.10.6;\
 		fi;\
 	fi
diff --git a/README.md b/README.md
index fd8949c188..23cb18c31f 100644
--- a/README.md
+++ b/README.md
@@ -165,7 +165,10 @@ Due to the large scope of requirements in this repository, the traditional `requ
 and `pyproject.toml` is being introduced instead, the goal being easier management in regard to adding/updating packages.
 
 To install all the dependencies locally, [poetry](https://python-poetry.org/) needs to be installed. Please follow the
-[official installation documentation](https://python-poetry.org/docs/#installation).
+[official installation documentation](https://python-poetry.org/docs/#installation). To ensure that no issues arise, we
+recommend using the [official installer](https://python-poetry.org/docs/#installing-with-the-official-installer).
+
+**IMPORTANT NOTE:** It is important to install Poetry using the official instructions and NOT into the same virtual env as QML itself, this would cause poetry to manage itself and raise unexpected errors.
 
 ### Installing dependencies
 

From 5ebe6dba6933dcc19ec99a93863556c0ade9882d Mon Sep 17 00:00:00 2001
From: Andrija Paurevic <46359773+andrijapau@users.noreply.github.com>
Date: Mon, 7 Jul 2025 16:28:06 -0400
Subject: [PATCH 06/22] Temporarily update `Makefile` to install
 `pennylane@v0.42.0-rc0` (#1428)

Same PR as a few releases ago:
https://github.com/PennyLaneAI/qml/pull/1198

Change will be reverted after FF!

[sc-94754]
---
 Makefile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Makefile b/Makefile
index 294a7f3831..a4eec44244 100644
--- a/Makefile
+++ b/Makefile
@@ -80,7 +80,7 @@ environment:
 			$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/PennyLaneAI/pennylane-qulacs.git#egg=pennylane-qulacs;\
 			$$PYTHON_VENV_PATH/bin/python -m pip install --extra-index-url https://test.pypi.org/simple/ PennyLane-Catalyst --pre --upgrade;\
 			$$PYTHON_VENV_PATH/bin/python -m pip install --extra-index-url https://test.pypi.org/simple/ PennyLane-Lightning --pre --upgrade;\
-			$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/PennyLaneAI/pennylane.git#egg=pennylane;\
+			$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/PennyLaneAI/pennylane.git@v0.42.0-rc0#egg=pennylane;\
 			$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/XanaduAI/iqpopt.git#egg=iqpopt;\
 			$$PYTHON_VENV_PATH/bin/python -m pip install 'numpy<2';\
 			$$PYTHON_VENV_PATH/bin/python -m pip install jax==0.6.0 jaxlib==0.6.0 flax==0.10.6;\

From 02b99e2623b693021854d19e6b69dad43cf33c9d Mon Sep 17 00:00:00 2001
From: Paul Finlay <50180049+doctorperceptron@users.noreply.github.com>
Date: Wed, 9 Jul 2025 13:14:27 -0400
Subject: [PATCH 07/22] QML V2 dev branch fixes (#1423)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

This PR introduces a few fixes to the V2 demos pipeline to get all demos
to build:
- Add support for pennylane v0.41.1 and v0.42.0 wrt the
`PennyLaneDeprecationWarning` since the containing module has been
refactored. This warning is imported by Sphinx before the V2 pipeline
installs the dev version of pennylane, so we need a try/catch for
importing this module.
- Several changes to the dev constraints file, including cirq and
constraining PennyLane to install from the RC branch.
- A big change to the `qml build` tool. The current tool assumes all
constraints can be satisfied together, which just isn't possible once we
start installing the `dev` versions of PennyLane, Catalyst, and several
plugins. This is addressed here by adding an additional step to the `qml
build` tool to install each of these libraries separately at their
correct versions. This step mirrors what is currently done in the
Makefile.

The above have been tested and verified that the entire V2 dev pipeline
builds successfully

![Screenshot 2025-07-09 at 11 15
29 AM](https://github.com/user-attachments/assets/8440aca4-b852-4898-b585-ba5f79315159)

This PR also syncs recent changes to the demos in `dev` into the
`demonstrations_v2` folder, and increases the verbosity of the `qml`
build tool so we have better visibility into the behaviour of the
pipeline while we're still in testing mode.
---
 conf.py                                       |   7 +-
 demonstrations_v2/qnn_module_tf/demo.py       |   2 +-
 demonstrations_v2/qnspsa/demo.py              |   2 +-
 .../tutorial_block_encoding/metadata.json     |   2 +-
 .../tutorial_error_mitigation/requirements.in |   9 +-
 .../tutorial_kak_decomposition/demo.py        |   9 +-
 .../tutorial_kak_decomposition/metadata.json  |   2 +-
 .../tutorial_liesim_extension/demo.py         |   4 +-
 .../tutorial_liesim_extension/metadata.json   |   2 +-
 .../tutorial_univariate_qvr/demo.py           |  15 +-
 .../tutorial_zne_catalyst/demo.py             | 312 ------------------
 .../tutorial_zne_catalyst/metadata.json       |  84 -----
 .../tutorial_zne_catalyst/requirements.in     |   3 -
 dependencies/constraints-dev.txt              |  11 +-
 lib/qml/app/app.py                            |   2 +-
 lib/qml/lib/cmds.py                           |   2 +-
 lib/qml/lib/demo.py                           |  82 ++++-
 17 files changed, 111 insertions(+), 439 deletions(-)
 delete mode 100644 demonstrations_v2/tutorial_zne_catalyst/demo.py
 delete mode 100644 demonstrations_v2/tutorial_zne_catalyst/metadata.json
 delete mode 100644 demonstrations_v2/tutorial_zne_catalyst/requirements.in

diff --git a/conf.py b/conf.py
index b544326d13..610c654035 100644
--- a/conf.py
+++ b/conf.py
@@ -18,12 +18,17 @@
 import numpy as np
 from jinja2 import FileSystemLoader, Environment
 import yaml
-from pennylane.exceptions import PennyLaneDeprecationWarning
 from pathlib import Path
 
 sys.path.insert(0, os.path.abspath("."))
 sys.path.insert(0, os.path.join(os.path.dirname(__file__)))
 
+# This module has been refactored from pennylane v0.41.0 to v0.42.0
+# This can be removed after the release of v0.42.0
+try:
+    from pennylane.exceptions import PennyLaneDeprecationWarning
+except ModuleNotFoundError:
+    from pennylane import PennyLaneDeprecationWarning
 
 # -- Project information -----------------------------------------------------
 # General information about the project.
diff --git a/demonstrations_v2/qnn_module_tf/demo.py b/demonstrations_v2/qnn_module_tf/demo.py
index cf4237416c..d6cc1e5a91 100644
--- a/demonstrations_v2/qnn_module_tf/demo.py
+++ b/demonstrations_v2/qnn_module_tf/demo.py
@@ -19,7 +19,7 @@
 
     This demo is only compatible with PennyLane version 0.40 or below.
     For usage with a later version of PennyLane, please consider using
-    :doc:`PyTorch <tutorial_qnn_module_torch>` or :doc:`JAX <tutorial_How_to_optimize_QML_model_using_JAX_and_Optax>`.
+    :doc:`PyTorch </demos/tutorial_qnn_module_torch>` or :doc:`JAX </demos/tutorial_How_to_optimize_QML_model_using_JAX_and_Optax>`.
 
 Creating neural networks in `Keras <https://keras.io/>`__ is easy. Models are constructed from
 elementary *layers* and can be trained using a high-level API. For example, the following code
diff --git a/demonstrations_v2/qnspsa/demo.py b/demonstrations_v2/qnspsa/demo.py
index d5a6e9f7f5..994846b6df 100644
--- a/demonstrations_v2/qnspsa/demo.py
+++ b/demonstrations_v2/qnspsa/demo.py
@@ -96,7 +96,7 @@
 # structure of the non-Euclidean parameter space [#FS]_. The
 # :math:`d \times d` metric tensor is defined as
 #
-# .. math:: \boldsymbol{g}_{ij}(\mathbf{x}) = -\frac{1}{2} \frac{\partial}{\partial \mathbf{x}_i} \frac{\partial}{\partial \mathbf{x}_j} F(\mathbf{x}', \mathbf{x})\biggr\rvert_{\mathbf{x}'=\mathbf{x}},tag{5}
+# .. math:: \boldsymbol{g}_{ij}(\mathbf{x}) = -\frac{1}{2} \frac{\partial}{\partial \mathbf{x}_i} \frac{\partial}{\partial \mathbf{x}_j} F(\mathbf{x}', \mathbf{x})\biggr\rvert_{\mathbf{x}'=\mathbf{x}},\tag{5}
 #
 # where
 # :math:`F(\mathbf{x}', \mathbf{x}) = \bigr\rvert\langle \phi(\mathbf{x}') | \phi(\mathbf{x}) \rangle \bigr\rvert ^ 2,`
diff --git a/demonstrations_v2/tutorial_block_encoding/metadata.json b/demonstrations_v2/tutorial_block_encoding/metadata.json
index f9f3ca3656..1be9d62bfd 100644
--- a/demonstrations_v2/tutorial_block_encoding/metadata.json
+++ b/demonstrations_v2/tutorial_block_encoding/metadata.json
@@ -12,7 +12,7 @@
         }
     ],
     "dateOfPublication": "2023-11-28T00:00:00+00:00",
-    "dateOfLastModification": "2025-05-27T00:00:00+00:00",
+    "dateOfLastModification": "2025-06-02T00:00:00+00:00",
     "categories": [
         "Quantum Computing",
         "Algorithms"
diff --git a/demonstrations_v2/tutorial_error_mitigation/requirements.in b/demonstrations_v2/tutorial_error_mitigation/requirements.in
index 7faec58028..5725116d67 100644
--- a/demonstrations_v2/tutorial_error_mitigation/requirements.in
+++ b/demonstrations_v2/tutorial_error_mitigation/requirements.in
@@ -1,9 +1,2 @@
-mitiq==0.32.0
+mitiq==0.43.0
 ply==3.11
-qiskit
-qiskit_aer
-qiskit_ibm_runtime
-pennylane-cirq
-pennylane-qiskit
-jax
-jaxlib
diff --git a/demonstrations_v2/tutorial_kak_decomposition/demo.py b/demonstrations_v2/tutorial_kak_decomposition/demo.py
index 8a61aa3cc9..2d341a1b41 100644
--- a/demonstrations_v2/tutorial_kak_decomposition/demo.py
+++ b/demonstrations_v2/tutorial_kak_decomposition/demo.py
@@ -348,12 +348,13 @@ def is_orthogonal(op, basis):
 #
 # Let us define it in code, and check whether it gives rise to a Cartan decomposition.
 # As we want to look at another example later, we wrap everything in a function.
+# A similar function is available in PennyLane as :func:`~.pennylane.liealg.check_cartan_decomp`.
 #
 
 
-def check_cartan_decomposition(g, k, space_name):
+def check_cartan_decomp(g, k, space_name):
     """Given an algebra g and an operator subspace k, verify that k is a subalgebra
-    and gives rise to a Cartan decomposition."""
+    and gives rise to a Cartan decomposition. Similar to qml.liealg.check_cartan_decomp"""
     # Check Lie closure of k
     k_lie_closure = qml.lie_closure(k)
     k_is_closed = len(k_lie_closure) == len(k)
@@ -387,7 +388,7 @@ def check_cartan_decomposition(g, k, space_name):
 
 u1 = [Z(0)]
 space_name = "SU(2)/U(1)"
-p = check_cartan_decomposition(su2, u1, space_name)
+p = check_cartan_decomp(su2, u1, space_name)
 
 ######################################################################
 # Cartan subalgebras
@@ -811,7 +812,7 @@ def theta_Y(x):
 # Define subalgebra su(2) ⊕ su(2)
 su2_su2 = [X(0), Y(0), Z(0), X(1), Y(1), Z(1)]
 space_name = "SU(4)/(SU(2)xSU(2))"
-p = check_cartan_decomposition(su4, su2_su2, space_name)
+p = check_cartan_decomp(su4, su2_su2, space_name)
 
 ######################################################################
 # .. admonition:: Math detail: involution for two-qubit decomposition
diff --git a/demonstrations_v2/tutorial_kak_decomposition/metadata.json b/demonstrations_v2/tutorial_kak_decomposition/metadata.json
index ae7f442f81..0c1bec711c 100644
--- a/demonstrations_v2/tutorial_kak_decomposition/metadata.json
+++ b/demonstrations_v2/tutorial_kak_decomposition/metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2024-11-25T00:00:00+00:00",
-    "dateOfLastModification": "2025-03-17T09:00:00+00:00",
+    "dateOfLastModification": "2025-03-26T09:00:00+00:00",
     "categories": [
         "Quantum Computing",
         "Algorithms"
diff --git a/demonstrations_v2/tutorial_liesim_extension/demo.py b/demonstrations_v2/tutorial_liesim_extension/demo.py
index ce62806eb9..220702874e 100644
--- a/demonstrations_v2/tutorial_liesim_extension/demo.py
+++ b/demonstrations_v2/tutorial_liesim_extension/demo.py
@@ -100,8 +100,8 @@ def TFIM(n):
     generators = [op.pauli_rep for op in generators]
 
     dla = qml.lie_closure(generators, pauli=True)
-    dim_dla = len(dla)
-    return generators, dla, dim_dla
+    dim_g = len(dla)
+    return generators, dla, dim_g
 
 generators, dla, dim_g = TFIM(n=4)
 
diff --git a/demonstrations_v2/tutorial_liesim_extension/metadata.json b/demonstrations_v2/tutorial_liesim_extension/metadata.json
index 3837196b18..1807c7b04a 100644
--- a/demonstrations_v2/tutorial_liesim_extension/metadata.json
+++ b/demonstrations_v2/tutorial_liesim_extension/metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2024-06-18T00:00:00+00:00",
-    "dateOfLastModification": "2025-03-17T00:00:00+00:00",
+    "dateOfLastModification": "2025-03-26T00:00:00+00:00",
     "categories": [
         "Quantum Computing",
         "Quantum Machine Learning"
diff --git a/demonstrations_v2/tutorial_univariate_qvr/demo.py b/demonstrations_v2/tutorial_univariate_qvr/demo.py
index 38966da266..14a4e46b7f 100644
--- a/demonstrations_v2/tutorial_univariate_qvr/demo.py
+++ b/demonstrations_v2/tutorial_univariate_qvr/demo.py
@@ -233,16 +233,10 @@
 import covalent as ct
 import os
 import time
-import subprocess
-import sys
-from pathlib import Path
 
 # Set up Covalent server
 os.environ["COVALENT_SERVER_IFACE_ANY"] = "1"
-subprocess.run(
-    ["covalent", "start"],
-    env=os.environ).check_returncode()
-
+os.system("covalent start")
 # If you run into any out-of-memory issues with Dask when running this notebook,
 # Try reducing the number of workers and making a specific memory request. I.e.:
 # os.system("covalent start -m "2GiB" -n 2")
@@ -840,9 +834,6 @@ def training_workflow(
 #
 
 ct_tr_results = ct.get_result(dispatch_id=tr_dispatch_id, wait=True)
-if ct_tr_results.error:
-    raise RuntimeError(ct_tr_results.error)
-
 results_dict = ct_tr_results.result
 
 
@@ -1221,9 +1212,7 @@ def testing_workflow(
 #
 
 # Shut down the covalent server
-subprocess.run(
-    ["covalent", "stop"],
-    env=os.environ).check_returncode()
+stop = os.system("covalent stop")
 
 ######################################################################
 # Conclusions
diff --git a/demonstrations_v2/tutorial_zne_catalyst/demo.py b/demonstrations_v2/tutorial_zne_catalyst/demo.py
deleted file mode 100644
index 0addd8d542..0000000000
--- a/demonstrations_v2/tutorial_zne_catalyst/demo.py
+++ /dev/null
@@ -1,312 +0,0 @@
-r"""
-Digital zero-noise extrapolation (ZNE) with Catalyst
-====================================================
-
-In this tutorial, you will learn how to use :doc:`error mitigation <tutorial_error_mitigation>`, and in particular 
-the zero-noise extrapolation (ZNE) technique, in combination with 
-`Catalyst <https://docs.pennylane.ai/projects/catalyst>`_, a framework for quantum 
-just-in-time (JIT) compilation with PennyLane. 
-We'll demonstrate how to generate noise-scaled circuits, execute them on a noisy quantum
-simulator, and use extrapolation techniques to estimate the zero-noise result, all while
-leveraging JIT compilation through Catalyst.
-
-.. image:: ../_static/demo_thumbnails/regular_demo_thumbnails/thumbnail_zne_catalyst.png
-    :width: 70%
-    :align: center
-
-The demo :doc:`Error mitigation with Mitiq and PennyLane <tutorial_error_mitigation>`
-shows how ZNE, along with other error mitigation techniques, can be carried out in PennyLane
-by using `Mitiq <https://github.com/unitaryfund/mitiq>`__, a Python library developed 
-by `Unitary Fund <https://unitary.fund/>`__.
-
-ZNE in particular is also offered out of the box in PennyLane as a *differentiable* error mitigation technique,
-for usage in combination with variational workflows. More on this in the tutorial
-:doc:`Differentiating quantum error mitigation transforms <tutorial_diffable-mitigation>`.
-
-On top of the error mitigation routines offered in PennyLane, ZNE is also available for just-in-time
-(JIT) compilation. In this tutorial we see how an error mitigation routine can be
-integrated in a Catalyst workflow.
-
-At the end of the tutorial, we will compare the execution time of ZNE routines in
-pure PennyLane vs. PennyLane and Catalyst with JIT.
-
-What is zero-noise extrapolation (ZNE)
---------------------------------------
-Zero-noise extrapolation (ZNE) is a technique used to mitigate the effect of noise on quantum
-computations. First introduced in [#zne-2017]_, it helps improve the accuracy of quantum
-results by running circuits at varying noise levels and extrapolating back to a hypothetical
-zero-noise case. While this tutorial won't delve into the theory behind ZNE in detail (for which we
-recommend reading the `Mitiq docs <https://mitiq.readthedocs.io/en/stable/guide/zne-5-theory.html>`_
-and the references, including Mitiq's whitepaper [#mitiq-2022]_), let's first review what happens when using the protocol in practice.
-
-Stage 1: Generating noise-scaled circuits
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-ZNE works by generating circuits with **increased** noise. Catalyst implements the unitary folding
-framework introduced in [#dzne-2020]_ for generating noise-scaled circuits. In particular, 
-the following two methods are available:
-
-1. **Global folding**: If a circuit implements a global unitary :math:`U`, global folding applies
-   :math:`U(U^\dagger U)^n` for some integer :math:`n`,
-   effectively scaling the noise in the entire circuit.
-2. **Local folding**: Individual gates are repeated (or folded) in contrast with the entire
-   circuit.
-
-Stage 2: Running the circuits
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-Once noise-scaled circuits are created, they need to be run! These can be executed on either real
-quantum hardware or a noisy quantum simulator. In this tutorial, we'll use the
-`Qrack quantum simulator <https://qrack.readthedocs.io/>`_, which is both compatible with Catalyst,
-and implements a noise model. For more about the integration of Qrack and Catalyst, see
-the demo :doc:`QJIT compilation with Qrack and Catalyst <qrack>`.
-
-Stage 3: Combining the results
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-After executing the noise-scaled circuits, an extrapolation on the results is performed  
-to estimate the zero-noise limit---the result we would expect in a noise-free scenario. 
-Catalyst provides **polynomial** and **exponential** extrapolation methods.
-
-These three stages illustrate what happens behind the scenes when using a ZNE routine. 
-However, from the user's perspective, one only needs to define the initial circuit, 
-the noise scaling method, and the extrapolation method. The rest is taken care of by Catalyst.
-"""
-
-##############################################################################
-# .. note ::
-#
-#    To follow along with this demonstration, it is required to
-#    `install Catalyst <https://docs.pennylane.ai/projects/catalyst/en/stable/dev/installation.html>`__,
-#    as well as the `PennyLane-Qrack plugin <https://pennylane-qrack.readthedocs.io/en/latest/installation.html>`__.
-#
-#    .. code-block:: bash
-#
-#      pip install -U pennylane-catalyst pennylane-qrack 
-# 
-
-##############################################################################
-# Defining the mirror circuit
-# ---------------------------
-# The first step for demoing an error mitigation routine is to define a circuit. 
-# Here we build a simple mirror circuit starting off a `unitary 2-design <https://en.wikipedia.org/wiki/Quantum_t-design>`__. 
-# This is a typical construction for a randomized benchmarking circuit, which is used in many tasks
-# in quantum computing. Given such circuit, we measure the expectation value :math:`\langle Z\rangle` 
-# on the state of the first qubit, and by construction of the circuit, we expect this value to be
-# equal to 1.
-
-import numpy as np
-import pennylane as qml
-from catalyst import mitigate_with_zne
-
-n_wires = 3
-
-np.random.seed(42)
-
-n_layers = 5
-template = qml.SimplifiedTwoDesign
-weights_shape = template.shape(n_layers, n_wires)
-w1, w2 = [2 * np.pi * np.random.random(s) for s in weights_shape]
-
-def circuit(w1, w2):
-    template(w1, w2, wires=range(n_wires))
-    qml.adjoint(template)(w1, w2, wires=range(n_wires))
-    return qml.expval(qml.PauliZ(0))
-
-##############################################################################
-# As a sanity check, we first execute the circuit on the Qrack simulator without any noise.
-
-noiseless_device = qml.device("qrack.simulator", n_wires, noise=0)
-
-ideal_value = qml.QNode(circuit, device=noiseless_device)(w1, w2)
-print(f"Ideal value: {ideal_value}")
-
-##############################################################################
-# In the noiseless scenario, the expectation value of the Pauli-Z measurement
-# is equal to 1, since the first qubit is back in the :math:`|0\rangle` state.
-#
-# Mitigating the noisy circuit
-# ----------------------------
-# Let's now run the circuit through a noisy scenario. The Qrack simulator models noise by
-# applying single-qubit depolarizing noise channels to all qubits in all gates of the circuit.
-# The probability of error is specified by the value of the ``noise`` constructor argument.
-
-NOISE_LEVEL = 0.01
-noisy_device = qml.device("qrack.simulator", n_wires, shots=1000, noise=NOISE_LEVEL)
-
-noisy_qnode = qml.QNode(circuit, device=noisy_device, mcm_method="one-shot")
-noisy_value = noisy_qnode(w1, w2)
-print(f"Error without mitigation: {abs(ideal_value - noisy_value):.3f}")
-
-##############################################################################
-# Again expected, we obtain a noisy value that diverges from the ideal value we obtained above.
-# Fortunately, we have error mitigation to the rescue! We can apply ZNE, however we are still
-# missing some necessary parameters. In particular we still need to specify:
-#
-# 1. The method for scaling this noise up (in Catalyst there are two options: ``global`` and
-#    ``local``).
-# 2. The noise scaling factors (i.e. how much to increase the depth of the circuit).
-# 3. The extrapolation technique used to estimate the ideal value (available in Catalyst are
-#    polynomial and exponential extrapolation).
-#
-# First, we choose a method to scale the noise. This needs to be specified as a Python string.
-
-folding_method = "global"
-
-##############################################################################
-# Next, we pick a list of scale factors. At the time of writing this tutorial,
-# Catalyst supports only odd integer scale factors. In the global folding setting,
-# a scale factor  :math:`s` correspond to the circuit being folded
-# :math:`\frac{s - 1}{2}` times.
-scale_factors = [1, 3, 5]
-
-##############################################################################
-# Finally, we'll choose the extrapolation technique. Both exponential and polynomial extrapolation
-# is available in the :mod:`qml.transforms <pennylane.transforms>` module, and both of these functions can be passed directly
-# into Catalyst's :func:`catalyst.mitigate_with_zne` function. In this tutorial we use polynomial extrapolation,
-# which we hypothesize best models the behavior of the noise scenario we are considering.
-
-from pennylane.transforms import poly_extrapolate
-from functools import partial
-
-extrapolation_method = partial(poly_extrapolate, order=2)
-
-##############################################################################
-# We're now ready to run our example using ZNE with Catalyst! Putting these all together we're able
-# to define a very simple :func:`~.QNode`, which represents the mitigated version of the original circuit.
-
-
-@qml.qjit
-def mitigated_circuit_qjit(w1, w2):
-    return mitigate_with_zne(
-        noisy_qnode,
-        scale_factors=scale_factors,
-        extrapolate=extrapolation_method,
-        folding=folding_method,
-    )(w1, w2)
-
-
-zne_value = mitigated_circuit_qjit(w1, w2)
-
-print(f"Error with ZNE in Catalyst: {abs(ideal_value - zne_value):.3f}")
-
-##############################################################################
-# It's crucial to note that we can use the :func:`~.qjit` decorator here, as all the functions used
-# to define the node are compatible with Catalyst, and we can therefore
-# exploit the potential of just-in-time compilation.
-#
-# Benchmarking
-# ------------
-# For comparison, let's define a very similar :func:`~.qnode`, but this time we don't decorate the node
-# as just-in-time compilable.
-# When it comes to the parameters, the only difference here (due to an implementation technicality)
-# is the type of the ``folding`` argument. Despite the type being different, however,
-# the value of the folding method is the same, i.e., global folding.
-
-
-def mitigated_circuit(w1, w2):
-    return qml.transforms.mitigate_with_zne(
-        noisy_qnode,
-        scale_factors=scale_factors,
-        extrapolate=extrapolation_method,
-        folding=qml.transforms.fold_global,
-    )(w1, w2)
-
-
-zne_value = mitigated_circuit(w1, w2)
-
-print(f"Error with ZNE in PennyLane: {abs(ideal_value - zne_value):.3f}")
-
-##############################################################################
-# To showcase the impact of JIT compilation, we use Python's ``timeit`` module
-# to measure execution time of ``mitigated_circuit_qjit`` vs. ``mitigated_circuit``.
-# 
-# Note: for the purpose of this last example, we reduce the number of shots of the simulator to 100,
-# since we don't need the accuracy required for the previous demonstration. We do so in order to 
-# reduce the running time of this tutorial, while still showcasing the performance differences.  
-import timeit
-
-noisy_device = qml.device("qrack.simulator", n_wires, shots=100, noise=NOISE_LEVEL)
-noisy_qnode = qml.QNode(circuit, device=noisy_device, mcm_method="one-shot")
-
-@qml.qjit
-def mitigated_circuit_qjit(w1, w2):
-    return mitigate_with_zne(
-        noisy_qnode,
-        scale_factors=scale_factors,
-        extrapolate=extrapolation_method,
-        folding=folding_method,
-    )(w1, w2)
-
-repeat = 5  # number of timing runs
-number = 5  # number of loops executed in each timing run
-
-times = timeit.repeat("mitigated_circuit(w1, w2)", globals=globals(), number=number, repeat=repeat)
-
-print(f"mitigated_circuit running time (best of {repeat}): {min(times):.3f}s")
-
-times = timeit.repeat(
-    "mitigated_circuit_qjit(w1, w2)", globals=globals(), number=number, repeat=repeat
-)
-
-print(f"mitigated_circuit_qjit running time (best of {repeat}): {min(times):.3f}s")
-
-##############################################################################
-# Already with the simple circuit we started with, and with the simple parameters in our example,
-# we can appreciate the performance differences. That was at the cost of very minimal syntax change.
-#
-# There are still reasons to use ZNE in PennyLane without :func:`~.qjit`, for instance,
-# whenever the device of choice is not supported by Catalyst. To help,
-# we conclude with a landscape of the QEM techniques available in the PennyLane ecosystem.
-#
-# .. list-table::
-#     :widths: 30 20 20 20 20 30
-#     :align: center
-#     :header-rows: 0
-#
-#     * - **Framework**
-#       - **ZNE folding**
-#       - **ZNE extrapolation**
-#       - **Differentiable**
-#       - **JIT**
-#       - **Other QEM techniques**
-#     * - PennyLane + Mitiq
-#       - global, local, random
-#       - polynomial, exponential
-#       - –
-#       - –
-#       - ✅
-#     * - PennyLane transforms
-#       - global, local
-#       - polynomial, exponential
-#       - ✅
-#       - –
-#       - –
-#     * - Catalyst (experimental)
-#       - global, local
-#       - polynomial, exponential
-#       - ✅
-#       - ✅
-#       - –
-
-
-##############################################################################
-#
-# References
-# ----------
-#
-# .. [#zne-2017] K. Temme, S. Bravyi, J. M. Gambetta
-#     `"Error Mitigation for Short-Depth Quantum Circuits" <https://arxiv.org/abs/1612.02058>`_,
-#     Phys. Rev. Lett. 119, 180509 (2017).
-#
-# .. [#dzne-2020] Tudor Giurgica-Tiron, Yousef Hindy, Ryan LaRose, Andrea Mari, and William J. Zeng, 
-#     `"Digital zero noise extrapolation for quantum error mitigation" <https://arxiv.org/abs/2005.10921v2>`__, 
-#     IEEE International Conference on Quantum Computing and Engineering (2020).
-#
-# .. [#mitiq-2022]
-#     Ryan LaRose and Andrea Mari and Sarah Kaiser and Peter J. Karalekas and Andre A. Alves and 
-#     Piotr Czarnik and Mohamed El Mandouh and Max H. Gordon and Yousef Hindy and Aaron Robertson 
-#     and Purva Thakre and Misty Wahl and Danny Samuel and Rahul Mistri and Maxime Tremblay 
-#     and Nick Gardner and Nathaniel T. Stemen and Nathan Shammah and William J. Zeng, 
-#     `"Mitiq: A software package for error mitigation on noisy quantum computers" <https://doi.org/10.22331/q-2022-08-11-774>`__, 
-#     Quantum (2022).
diff --git a/demonstrations_v2/tutorial_zne_catalyst/metadata.json b/demonstrations_v2/tutorial_zne_catalyst/metadata.json
deleted file mode 100644
index f9cc710683..0000000000
--- a/demonstrations_v2/tutorial_zne_catalyst/metadata.json
+++ /dev/null
@@ -1,84 +0,0 @@
-{
-    "title": "Digital zero-noise extrapolation with Catalyst",
-    "authors": [
-        {
-            "username": "cosenal"
-        },
-        {
-            "username": "natestemen"
-        }
-    ],
-    "dateOfPublication": "2024-11-15T00:00:00+00:00",
-    "dateOfLastModification": "2024-11-25T09:00:00+00:00",
-    "categories": [
-        "Algorithms",
-        "Quantum Computing"
-    ],
-    "tags": [],
-    "previewImages": [
-        {
-            "type": "thumbnail",
-            "uri": "/_static/demo_thumbnails/regular_demo_thumbnails/thumbnail_zne_catalyst.png"
-        },
-        {
-            "type": "large_thumbnail",
-            "uri": "/_static/demo_thumbnails/large_demo_thumbnails/thumbnail_large_zne_catalyst.png"
-        }
-    ],
-    "seoDescription": "Learn to use error mitigation and the digital zero-noise extrapolation (ZNE) technique with Catalyst, the PennyLane framework for quantum JIT compilation.",
-    "doi": "",
-    "references": [
-        {
-            "id": "dzne-2020",
-            "type": "article",
-            "title": "Digital zero noise extrapolation for quantum error mitigation",
-            "authors": "Tudor Giurgica-Tiron, Yousef Hindy, Ryan LaRose, Andrea Mari, and William J. Zeng",
-            "year": "2020",
-            "publisher": "IEEE",
-            "journal": "2020 IEEE International Conference on Quantum Computing and Engineering (QCE)",
-            "doi": "10.1109/QCE49297.2020.00045",
-            "url": "https://arxiv.org/abs/2005.10921v2"
-        },
-        {
-            "id": "zne-2017",
-            "type": "article",
-            "title": "Error Mitigation for Short-Depth Quantum Circuits",
-            "authors": "K. Temme, S. Bravyi, J. M. Gambetta",
-            "year": "2017",
-            "publisher": "",
-            "journal": "Phys. Rev. Lett. 119, 180509",
-            "doi": "10.1103/PhysRevLett.119.180509",
-            "url": "https://arxiv.org/abs/1612.02058"
-        },
-        {
-            "id": "mitiq-2022",
-            "type": "article",
-            "title": "Mitiq: A software package for error mitigation on noisy quantum computers",
-            "authors": "Ryan LaRose and Andrea Mari and Sarah Kaiser and Peter J. Karalekas and Andre A. Alves and Piotr Czarnik and Mohamed El Mandouh and Max H. Gordon and Yousef Hindy and Aaron Robertson and Purva Thakre and Misty Wahl and Danny Samuel and Rahul Mistri and Maxime Tremblay and Nick Gardner and Nathaniel T. Stemen and Nathan Shammah and William J. Zeng",
-            "year": "2022",
-            "publisher": "Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften",
-            "journal": "Quantum",
-            "doi": "10.22331/q-2022-08-11-774",
-            "url": "https://doi.org/10.22331/q-2022-08-11-774"
-        }
-    ],
-    "basedOnPapers": [],
-    "referencedByPapers": [],
-    "relatedContent": [
-        {
-            "type": "demonstration",
-            "id": "tutorial_error_mitigation",
-            "weight": 1.0
-        },
-        {
-            "type": "demonstration",
-            "id": "qrack",
-            "weight": 1.0
-        },
-        {
-            "type": "demonstration",
-            "id": "tutorial_diffable-mitigation",
-            "weight": 1.0
-        }
-    ]
-}
diff --git a/demonstrations_v2/tutorial_zne_catalyst/requirements.in b/demonstrations_v2/tutorial_zne_catalyst/requirements.in
deleted file mode 100644
index 0d13aac4ca..0000000000
--- a/demonstrations_v2/tutorial_zne_catalyst/requirements.in
+++ /dev/null
@@ -1,3 +0,0 @@
-pennylane-catalyst
-pennylane-qrack
-pyqrack
diff --git a/dependencies/constraints-dev.txt b/dependencies/constraints-dev.txt
index 8623e624fb..7da6fdc26d 100644
--- a/dependencies/constraints-dev.txt
+++ b/dependencies/constraints-dev.txt
@@ -3,7 +3,8 @@
 --extra-index-url https://test.pypi.org/simple/
 --extra-index-url https://download.pytorch.org/whl/cpu
 
-pennylane @ git+https://github.com/PennyLaneAI/pennylane.git#egg=pennylane
+pennylane @ git+https://github.com/PennyLaneAI/pennylane.git@v0.42.0-rc0#egg=pennylane
+pennylane-cirq @ git+https://github.com/PennyLaneAI/pennylane-cirq.git#egg=pennylane-cirq
 pennylane-qiskit @ git+https://github.com/PennyLaneAI/pennylane-qiskit.git#egg=pennylane-qiskit
 pennylane-qulacs @ git+https://github.com/PennyLaneAI/pennylane-qulacs.git#egg=pennylane-qulacs
 iqpot @ git+https://github.com/XanaduAI/iqpopt.git#egg=iqpopt
@@ -11,13 +12,16 @@ pennylane-catalyst
 pennylane-lightning
 
 chex<1.0.0
+cirq-core==1.4.1
+ciq-pascal==1.4.1
 pyqrack==1.32.12
 numpy~=1.24
 matplotlib==3.7.2
 jax==0.4.28
 jaxlib==0.4.28
-jaxopt==0.8.3
+jaxopt==0.8.4
 aiohttp==3.9.5
+fastapi<1.0.0
 fsspec==2024.6.1
 h5py==3.11.0
 openfermionpyscf==0.5
@@ -29,7 +33,8 @@ torch==2.1.2+cpu ; sys_platform != 'darwin'
 torch==2.1.2 ; sys_platform == 'darwin'
 torchvision==0.16.2+cpu ; sys_platform != 'darwin'
 torchvision==0.16.2 ; sys_platform == 'darwin'
-tensorflow==2.14.1
+tensorflow==2.16.2
+typing-extensions==4.14.0
 optax==0.2.3
 quimb==1.8.2
 kahypar==1.1.7
diff --git a/lib/qml/app/app.py b/lib/qml/app/app.py
index 115aa93059..70f7ce700d 100644
--- a/lib/qml/app/app.py
+++ b/lib/qml/app/app.py
@@ -144,7 +144,7 @@ def sync_v2():
             shutil.copy2(v1_metadata, v2_metadata)
 
             print(
-                f"Copied new demo {v1_demo} to {v2_demo_dir}. Please updated the requirements.in file."
+                f"Copied new demo {v1_demo} to {v2_demo_dir}. Please update the requirements.in file."
             )
         else:
             for src, dest in [(v1_demo, v2_demo), (v1_metadata, v2_metadata)]:
diff --git a/lib/qml/lib/cmds.py b/lib/qml/lib/cmds.py
index 5b563bff84..6a040bd688 100644
--- a/lib/qml/lib/cmds.py
+++ b/lib/qml/lib/cmds.py
@@ -62,7 +62,7 @@ def pip_install(
         requirements: Path to a requirements file
         constraints: Path to a constriants file
         quiet: Whether to suppress output to stdout
-        pre: Include pre-release versions of pacakges
+        pre: Include pre-release versions of packages
 
 
     Raises:
diff --git a/lib/qml/lib/demo.py b/lib/qml/lib/demo.py
index ffb7fd49a8..85366627b4 100644
--- a/lib/qml/lib/demo.py
+++ b/lib/qml/lib/demo.py
@@ -162,7 +162,7 @@ def build(
 
     build_venv = Virtualenv(ctx.build_venv_path)
     cmds.pip_install(
-        build_venv.python, requirements=ctx.build_requirements_file, use_uv=False
+        build_venv.python, requirements=ctx.build_requirements_file, use_uv=False, quiet=False
     )
 
     for demo in demos:
@@ -245,6 +245,7 @@ def generate_requirements(
         output_file,
         *requirements_in,
         constraints_files=constraints,
+        quiet=False,
         prerelease=dev,
     )
 
@@ -268,9 +269,86 @@ def _build_demo(
             build_venv.python,
             "--upgrade",
             requirements=out_dir / "requirements.txt",
-            quiet=True,
+            quiet=False,
             pre=dev,
         )
+    
+    # For dev, follow the same install procedure and order as in the Makefile.
+    # This is critical to get the proper versions of PennyLane, Catalyst,
+    # and various plugins.
+    # TODO: See if we can clean this up and streamline in the future... 
+    # TODO: Remove RC branch for PennyLane install post-release.
+    if dev and execute:
+        # Cirq
+        cmds.pip_install(
+            build_venv.python,
+            "--upgrade",
+            "git+https://github.com/PennyLaneAI/pennylane-cirq.git#egg=pennylane-cirq",
+            use_uv=False,
+            quiet=False,
+        )
+        # Qiskit
+        cmds.pip_install(
+            build_venv.python,
+            "--upgrade",
+            "git+https://github.com/PennyLaneAI/pennylane-qiskit.git#egg=pennylane-qiskit",
+            use_uv=False,
+            quiet=False,
+        )
+        # Qulacs
+        cmds.pip_install(
+            build_venv.python,
+            "--upgrade",
+            "git+https://github.com/PennyLaneAI/pennylane-qulacs.git#egg=pennylane-qulacs",
+            use_uv=False,
+            quiet=False,
+        )
+        # Catalyst
+        cmds.pip_install(
+            build_venv.python,
+            "--upgrade",
+            "--extra-index-url",
+            "https://test.pypi.org/simple/",
+            "PennyLane-Catalyst",
+            use_uv=False,
+            quiet=False,
+            pre=True,
+        )
+        # Lightning
+        cmds.pip_install(
+            build_venv.python,
+            "--upgrade",
+            "--extra-index-url",
+            "https://test.pypi.org/simple/",
+            "PennyLane-Lightning",
+            use_uv=False,
+            quiet=False,
+            pre=True,
+        )
+        # PennyLane
+        cmds.pip_install(
+            build_venv.python,
+            "--upgrade",
+            "git+https://github.com/PennyLaneAI/pennylane.git@v0.42.0-rc0#egg=pennylane",
+            use_uv=False,
+            quiet=False,
+        )
+        # Iqpopt
+        cmds.pip_install(
+            build_venv.python,
+            "--upgrade",
+            "git+https://github.com/XanaduAI/iqpopt.git#egg=iqpopt",
+            use_uv=False,
+            quiet=False,
+        )
+        # We need to bump flax here, after Jax has been bumped by Catalyst
+        cmds.pip_install(
+            build_venv.python,
+            "--upgrade",
+            "flax==0.10.6",
+            use_uv=False,
+            quiet=False,
+        )
 
     stage_dir = ctx.build_dir / "demonstrations"
     fs.clean_dir(stage_dir)

From eb9d7fc5e9342bb4682beff28fde21c737f4375e Mon Sep 17 00:00:00 2001
From: Paul Finlay <50180049+doctorperceptron@users.noreply.github.com>
Date: Wed, 9 Jul 2025 14:04:05 -0400
Subject: [PATCH 08/22] Fix V2 constraints (#1430)

Removes unnecessary constraint from the V2 pipelin.
---
 dependencies/constraints-dev.txt | 1 -
 1 file changed, 1 deletion(-)

diff --git a/dependencies/constraints-dev.txt b/dependencies/constraints-dev.txt
index 7da6fdc26d..a5bbb5cc19 100644
--- a/dependencies/constraints-dev.txt
+++ b/dependencies/constraints-dev.txt
@@ -13,7 +13,6 @@ pennylane-lightning
 
 chex<1.0.0
 cirq-core==1.4.1
-ciq-pascal==1.4.1
 pyqrack==1.32.12
 numpy~=1.24
 matplotlib==3.7.2

From a255e602a55ec2876308f75c98cd9467076a9bfc Mon Sep 17 00:00:00 2001
From: Andrija Paurevic <46359773+andrijapau@users.noreply.github.com>
Date: Thu, 10 Jul 2025 14:18:37 -0400
Subject: [PATCH 09/22] update warning for dependencies in `qnn_module_tf` demo
 (#1434)

**Context:**

This demo only works with `pennylane<=0.40.0` and a specific tensorflow
version.

**Change:**

Mention this in the warning.

<img width="866" height="380" alt="image"
src="https://github.com/user-attachments/assets/007b5661-6a1b-4b3c-a54e-1abf4957c802"
/>
---
 demonstrations/qnn_module_tf.metadata.json | 2 +-
 demonstrations/qnn_module_tf.py            | 2 ++
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/demonstrations/qnn_module_tf.metadata.json b/demonstrations/qnn_module_tf.metadata.json
index 15d489d26a..95a5882205 100644
--- a/demonstrations/qnn_module_tf.metadata.json
+++ b/demonstrations/qnn_module_tf.metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2020-11-02T00:00:00+00:00",
-    "dateOfLastModification": "2025-03-21T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-10T00:00:00+00:00",
     "categories": [
         "Devices and Performance",
         "Quantum Machine Learning"
diff --git a/demonstrations/qnn_module_tf.py b/demonstrations/qnn_module_tf.py
index d6cc1e5a91..43a9e5c872 100644
--- a/demonstrations/qnn_module_tf.py
+++ b/demonstrations/qnn_module_tf.py
@@ -18,6 +18,8 @@
 .. warning::
 
     This demo is only compatible with PennyLane version 0.40 or below.
+    Tensorflow should also be version 2.15 for this demo to run. The package scikit-learn is
+    also required (do not install sklearn as it is deprecated).
     For usage with a later version of PennyLane, please consider using
     :doc:`PyTorch </demos/tutorial_qnn_module_torch>` or :doc:`JAX </demos/tutorial_How_to_optimize_QML_model_using_JAX_and_Optax>`.
 

From e8dbfb502050cbf3e4348f136153645af324bc80 Mon Sep 17 00:00:00 2001
From: Astral Cai <astral.cai@xanadu.ai>
Date: Thu, 10 Jul 2025 14:25:52 -0400
Subject: [PATCH 10/22] Minor updates to tutorial_odegen and
 ml_classical_shadows (#1429)

**Title:**

**Summary:**
- The odegen demo is very sensitive to the initial guess. Updating the
random seed so that the plot looks nicer.
- The classical shadows demo is not compatible with latest jax, and is
using an old interface of sklearn

**Relevant references:**

**Possible Drawbacks:**

**Related GitHub Issues:**
---
 demonstrations/ml_classical_shadows.metadata.json |  2 +-
 demonstrations/ml_classical_shadows.py            | 10 ++++++----
 demonstrations/tutorial_odegen.metadata.json      |  2 +-
 demonstrations/tutorial_odegen.py                 |  7 ++++---
 4 files changed, 12 insertions(+), 9 deletions(-)

diff --git a/demonstrations/ml_classical_shadows.metadata.json b/demonstrations/ml_classical_shadows.metadata.json
index 5bcf2a0116..5497369c69 100644
--- a/demonstrations/ml_classical_shadows.metadata.json
+++ b/demonstrations/ml_classical_shadows.metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2022-05-02T00:00:00+00:00",
-    "dateOfLastModification": "2025-01-10T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-10T00:00:00+00:00",
     "categories": [
         "Quantum Machine Learning"
     ],
diff --git a/demonstrations/ml_classical_shadows.py b/demonstrations/ml_classical_shadows.py
index 66bca15783..d7ddd7a763 100644
--- a/demonstrations/ml_classical_shadows.py
+++ b/demonstrations/ml_classical_shadows.py
@@ -27,8 +27,10 @@
 properties from the learned classical shadows. So let's get started!
 
 .. note::
-    This demo is compatible with the latest version of PennyLane and ``neural-tangents==0.6.5``.
+    This demo is compatible with the latest version of PennyLane and ``neural-tangents``.
     The latter is required for building the kernel for the infinite network used in training.
+    As of July 10th, 2025, the latest version of ``neural-tangents`` (v0.6.5) is only compatible
+    with ``jax<0.6.0``.
 
 
 Building the 2D Heisenberg model
@@ -648,7 +650,7 @@ def build_dataset(num_points, Nr, Nc, T=500):
 # from the ``sklearn`` library.
 #
 
-from sklearn.metrics import mean_squared_error
+from sklearn.metrics import root_mean_squared_error
 
 def fit_predict_data(cij, kernel, opt="linear"):
 
@@ -685,8 +687,8 @@ def fit_predict_data(cij, kernel, opt="linear"):
                 best_model = model(hyperparam).fit(X_train, y_train)
                 best_pred = best_model.predict(X_test)
                 best_cv_score = cv_score
-                best_test_score = mean_squared_error(
-                    best_model.predict(X_test).ravel(), y_test_clean.ravel(), squared=False
+                best_test_score = root_mean_squared_error(
+                    best_model.predict(X_test).ravel(), y_test_clean.ravel()
                 )
 
     return (
diff --git a/demonstrations/tutorial_odegen.metadata.json b/demonstrations/tutorial_odegen.metadata.json
index df0ad04903..a84d59773b 100644
--- a/demonstrations/tutorial_odegen.metadata.json
+++ b/demonstrations/tutorial_odegen.metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2023-12-12T00:00:00+00:00",
-    "dateOfLastModification": "2025-01-28T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-08T00:00:00+00:00",
     "categories": [
         "Optimization",
         "Quantum Computing",
diff --git a/demonstrations/tutorial_odegen.py b/demonstrations/tutorial_odegen.py
index 8894ff68d8..11577b6e82 100644
--- a/demonstrations/tutorial_odegen.py
+++ b/demonstrations/tutorial_odegen.py
@@ -296,7 +296,7 @@ def partial_step(grad_circuit, opt_state, theta):
 
     return thetas, energy
 
-key = jax.random.PRNGKey(0)
+key = jax.random.PRNGKey(888)
 theta0 = jax.random.normal(key, shape=(n_param_batch, tbins * 2))
 
 thetaf_odegen, energy_odegen = run_opt(value_and_grad_jax, theta0)
@@ -313,8 +313,9 @@ def partial_step(grad_circuit, opt_state, theta):
 
 ##############################################################################
 # We see that with analytic gradients (ODEgen), we can reach the ground state energy within 100 epochs, whereas with SPS gradients we cannot find the path
-# towards the minimum due to the stochasticity of the gradient estimates. Note that both optimizations start from the same (random) initial point.
-# This picture solidifies when repeating this procedure for multiple runs from different random initializations, as was demonstrated in [#Kottmann]_.
+# towards the minimum due to the stochasticity of the gradient estimates. Note that the convergence of the optimization is sensitive to the initial guess.
+# In this demonstration, both optimizations start from the same (random) initial point. This picture solidifies when repeating this procedure for multiple
+# runs from different random initializations, as was demonstrated in [#Kottmann]_.
 #
 # We also want to make sure that this is a fair comparison in terms of quantum resources. In the case of ODEgen, we maximally have :math:`\mathcal{R}_\text{ODEgen} = 2 (4^n - 1) = 30` expectation values.
 # For SPS we have :math:`2 N_g N_s = 32` (due to :math:`N_g = 2` and :math:`N_s=8` time samples per gradient that we chose in ``num_split_times`` above). Thus, overall, we require fewer

From a87ab46428a2f82403dc3aca087372ca2671c0d3 Mon Sep 17 00:00:00 2001
From: "Yushao Chen (Jerry)" <chenys13@outlook.com>
Date: Thu, 10 Jul 2025 14:31:01 -0400
Subject: [PATCH 11/22] Adjust output format in
 `how_to_user_qiskit1_with_pennylane` (#1433)

**Title:**
Adjust output format in `how_to_user_qiskit1_with_pennylane`

**Summary:**
Corrected two altered output since last modification.

**Relevant references:**

**Possible Drawbacks:**

**Related GitHub Issues:**
---
 .../how_to_use_qiskit1_with_pennylane.metadata.json           | 2 +-
 demonstrations/how_to_use_qiskit1_with_pennylane.py           | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/demonstrations/how_to_use_qiskit1_with_pennylane.metadata.json b/demonstrations/how_to_use_qiskit1_with_pennylane.metadata.json
index c5a0361540..bdd35ebf63 100644
--- a/demonstrations/how_to_use_qiskit1_with_pennylane.metadata.json
+++ b/demonstrations/how_to_use_qiskit1_with_pennylane.metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2024-07-02T00:00:00+00:00",
-    "dateOfLastModification": "2025-01-08T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-10T00:00:00+00:00",
     "categories": [
         "Quantum Computing",
         "How-to"
diff --git a/demonstrations/how_to_use_qiskit1_with_pennylane.py b/demonstrations/how_to_use_qiskit1_with_pennylane.py
index 8bc5ab1805..5907cf5e6a 100644
--- a/demonstrations/how_to_use_qiskit1_with_pennylane.py
+++ b/demonstrations/how_to_use_qiskit1_with_pennylane.py
@@ -113,7 +113,7 @@ def circuit():
 #
 #   .. code-block:: none
 #
-#     {'0': tensor(474, requires_grad=True), '1': tensor(550, requires_grad=True)}
+#     {'0': 474, '1': 550}
 #
 
 ######################################################################
@@ -403,7 +403,7 @@ def cost(phis, theta):
 #   .. code-block:: none
 #
 #     Optimized parameters: phis = [3.12829384 3.12823583], theta = [3.1310224]
-#     Optimized cost function val: -2.999796472821245
+#     Optimized cost function value: -2.999796472821245
 #
 
 ######################################################################

From bade853759f54187ae31d13c5388c735b8c62ebb Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Luis=20Alfredo=20Nu=C3=B1ez=20Meneses?=
 <alfredo.nunez@xanadu.ai>
Date: Fri, 11 Jul 2025 15:42:34 -0400
Subject: [PATCH 12/22] Fix result for the Demo
 `how_to_catalyst_lightning_gpu.py` (#1438)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

**Title:**
Fix result for the Demo `how_to_catalyst_lightning_gpu.py`

**Summary:**
Since JAX v0.5.0, the PRNGKey behaviour has been updated, so using the
same PRNGKey with different versions of JAX will impact what outputs
jax.random gives.

**Relevant references:**

**Possible Drawbacks:**

**Related GitHub Issues:**
[sc-95314]

----
If you are writing a demonstration, please answer these questions to
facilitate the marketing process.

* GOALS — Why are we working on this now?

*Eg. Promote a new PL feature or show a PL implementation of a recent
paper.*


* AUDIENCE — Who is this for?

*Eg. Chemistry researchers, PL educators, beginners in quantum
computing.*


* KEYWORDS — What words should be included in the marketing post?


* Which of the following types of documentation is most similar to your
file?
(more details
[here](https://www.notion.so/xanaduai/Different-kinds-of-documentation-69200645fe59442991c71f9e7d8a77f8))

- [ ] Tutorial
- [X] Demo
- [ ] How-to
---
 demonstrations/how_to_catalyst_lightning_gpu.metadata.json | 2 +-
 demonstrations/how_to_catalyst_lightning_gpu.py            | 6 +++---
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/demonstrations/how_to_catalyst_lightning_gpu.metadata.json b/demonstrations/how_to_catalyst_lightning_gpu.metadata.json
index 7980d6161d..91a02843a2 100644
--- a/demonstrations/how_to_catalyst_lightning_gpu.metadata.json
+++ b/demonstrations/how_to_catalyst_lightning_gpu.metadata.json
@@ -9,7 +9,7 @@
         }
     ],
     "dateOfPublication": "2025-02-21T10:00:00+00:00",
-    "dateOfLastModification": "2025-02-21T10:00:00+00:00",
+    "dateOfLastModification": "2025-07-11T10:00:00+00:00",
     "categories": [
         "Getting Started",
         "Quantum Chemistry",
diff --git a/demonstrations/how_to_catalyst_lightning_gpu.py b/demonstrations/how_to_catalyst_lightning_gpu.py
index e4f1b4cf62..c161749bed 100644
--- a/demonstrations/how_to_catalyst_lightning_gpu.py
+++ b/demonstrations/how_to_catalyst_lightning_gpu.py
@@ -107,7 +107,7 @@
 #
 #  .. code-block:: none
 #
-#    1.7712995142661776
+#    1.2454125296886156
 #
 # Lightning-GPU has feature parity with `the rest of Lightning state-vector simulators <https://docs.pennylane.ai/projects/lightning/en/stable>`__,
 # providing native support for many PennyLane's operations and measurement processes with
@@ -141,7 +141,7 @@
 #
 #  .. code-block:: none
 #
-#    [ 8.8817842e-16 ... -6.2915415e-01  0.0000000e+00]
+#    [ -1.1102230e-16 ... -7.2645772e-01  0.0000000e+00]
 #
 #
 # Note that in the above example, we didn't use ``method="adjoint"``.
@@ -194,7 +194,7 @@
 #    Step = 7
 #    Step = 8
 #    Step = 9
-#    [1.24479175e-01 ... 9.45755959e-01 4.64060426e-01]
+#    [0.947667 ... 3.093198 0.8401809 ]
 #
 #
 # We used `Optax <https://github.com/google-deepmind/optax>`__,

From a395d67333cb3dfd40edadd07d385cc01dfb4307 Mon Sep 17 00:00:00 2001
From: Mudit Pandey <18223836+mudit2812@users.noreply.github.com>
Date: Mon, 14 Jul 2025 09:48:20 -0400
Subject: [PATCH 13/22] Manual demo fixes for 0.42 QA (#1436)

* Update `ahs_aquila` demo to render `qml.QuantumFunctionError`
deprecation warning
* Update `qnspsa` demo to stop unravelling parameters to cost function
* Update adjoint differentiation demos (`adjoint_diff_benchmarking` and
`tutorial_adjoint_diff`) to use autograd instead of JAX
  * Use log scaling for y-axis of second plot
* Update `getting_started_with_hybrid_jobs` demo to render deprecation
warning, and use a while loop to block until job metrics are available
* Update `quantum_volume` demo with new coupling map and instructions
for setting up API key
---
 .../adjoint_diff/scaling.png                  | Bin 61165 -> 54622 bytes
 .../quantum_volume/fake_lima.png              | Bin 0 -> 22064 bytes
 .../quantum_volume/lima.svg                   | 233 ------------------
 .../adjoint_diff_benchmarking.metadata.json   |   2 +-
 demonstrations/adjoint_diff_benchmarking.py   |  34 ++-
 demonstrations/ahs_aquila.metadata.json       |   2 +-
 demonstrations/ahs_aquila.py                  |  12 +-
 ...ing_started_with_hybrid_jobs.metadata.json |   2 +-
 .../getting_started_with_hybrid_jobs.py       |  35 ++-
 demonstrations/qnspsa.metadata.json           |   2 +-
 demonstrations/qnspsa.py                      |  16 +-
 demonstrations/quantum_volume.metadata.json   |   2 +-
 demonstrations/quantum_volume.py              |  37 ++-
 .../tutorial_adjoint_diff.metadata.json       |   2 +-
 demonstrations/tutorial_adjoint_diff.py       |  39 ++-
 15 files changed, 107 insertions(+), 311 deletions(-)
 create mode 100644 _static/demonstration_assets/quantum_volume/fake_lima.png
 delete mode 100644 _static/demonstration_assets/quantum_volume/lima.svg

diff --git a/_static/demonstration_assets/adjoint_diff/scaling.png b/_static/demonstration_assets/adjoint_diff/scaling.png
index 88cbb01b89692e2fa8cc2328821ebf19dd128437..6b4019f1da82aeaae9fe8552aaf9cc87803874b3 100644
GIT binary patch
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-L 9.8125 71.09375 
-Q 15.4375 72.65625 20.34375 73.4375 
-Q 25.25 74.21875 29.59375 74.21875 
-Q 40.828125 74.21875 47.359375 69.109375 
-Q 53.90625 64.015625 53.90625 55.328125 
-Q 53.90625 49.265625 50.4375 45.09375 
-Q 46.96875 40.921875 40.578125 39.3125 
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-   <g id="text_5">
-    <g clip-path="url(#p6a5f633c47)">
-     <!-- 4 -->
-     <g transform="translate(369.764318 47.754886)scale(0.12 -0.12)">
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-L 12.890625 25.390625 
-L 37.796875 25.390625 
-z
-M 35.203125 72.90625 
-L 47.609375 72.90625 
-L 47.609375 25.390625 
-L 58.015625 25.390625 
-L 58.015625 17.1875 
-L 47.609375 17.1875 
-L 47.609375 0 
-L 37.796875 0 
-L 37.796875 17.1875 
-L 4.890625 17.1875 
-L 4.890625 26.703125 
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-   <rect height="217.44" width="334.8" x="54" y="34.56"/>
-  </clipPath>
- </defs>
-</svg>
diff --git a/demonstrations/adjoint_diff_benchmarking.metadata.json b/demonstrations/adjoint_diff_benchmarking.metadata.json
index 2c5c4f4bf3..f27bb77c34 100644
--- a/demonstrations/adjoint_diff_benchmarking.metadata.json
+++ b/demonstrations/adjoint_diff_benchmarking.metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2021-11-23T00:00:00+00:00",
-    "dateOfLastModification": "2024-10-07T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-11T00:00:00+00:00",
     "categories": [
         "Getting Started"
     ],
diff --git a/demonstrations/adjoint_diff_benchmarking.py b/demonstrations/adjoint_diff_benchmarking.py
index c907290962..4ae968d47c 100644
--- a/demonstrations/adjoint_diff_benchmarking.py
+++ b/demonstrations/adjoint_diff_benchmarking.py
@@ -22,10 +22,7 @@
 import timeit
 import matplotlib.pyplot as plt
 import pennylane as qml
-import jax
-
-jax.config.update("jax_platform_name", "cpu")
-jax.config.update('jax_enable_x64', True)
+import pennylane.numpy as pnp
 
 plt.style.use("bmh")
 
@@ -33,12 +30,12 @@
 
 
 def get_time(qnode, params):
-    globals_dict = {'grad': jax.grad, 'circuit': qnode, 'params': params}
+    globals_dict = {"grad": qml.grad, "circuit": qnode, "params": params}
     return timeit.timeit("grad(circuit)(params)", globals=globals_dict, number=n_samples)
 
 
 def wires_scaling(n_wires, n_layers):
-    key = jax.random.PRNGKey(42)
+    rng = pnp.random.default_rng(12345)
 
     t_adjoint = []
     t_ps = []
@@ -58,7 +55,7 @@ def circuit(params, wires):
 
         # set up the parameters
         param_shape = qml.StronglyEntanglingLayers.shape(n_wires=i_wires, n_layers=n_layers)
-        params = jax.random.normal(key, param_shape)
+        params = rng.normal(size=pnp.prod(param_shape), requires_grad=True).reshape(param_shape)
 
         t_adjoint.append(get_time(circuit_adjoint, params))
         t_backprop.append(get_time(circuit_backprop, params))
@@ -68,10 +65,10 @@ def circuit(params, wires):
 
 
 def layers_scaling(n_wires, n_layers):
-    key = jax.random.PRNGKey(42)
+    rng = pnp.random.default_rng(12345)
 
     dev = qml.device("lightning.qubit", wires=n_wires)
-    dev_python = qml.device('default.qubit', wires=n_wires)
+    dev_python = qml.device("default.qubit", wires=n_wires)
 
     t_adjoint = []
     t_ps = []
@@ -88,7 +85,7 @@ def circuit(params):
     for i_layers in n_layers:
         # set up the parameters
         param_shape = qml.StronglyEntanglingLayers.shape(n_wires=n_wires, n_layers=i_layers)
-        params = jax.random.normal(key, param_shape)
+        params = rng.normal(size=pnp.prod(param_shape), requires_grad=True).reshape(param_shape)
 
         t_adjoint.append(get_time(circuit_adjoint, params))
         t_backprop.append(get_time(circuit_backprop, params))
@@ -110,9 +107,9 @@ def circuit(params):
     # Generating the graphic
     fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4))
 
-    ax1.plot(wires_list, adjoint_wires, '.-', label="adjoint")
-    ax1.plot(wires_list, ps_wires, '.-', label="parameter-shift")
-    ax1.plot(wires_list, backprop_wires, '.-', label="backprop")
+    ax1.plot(wires_list, adjoint_wires, ".-", label="adjoint")
+    ax1.plot(wires_list, ps_wires, ".-", label="parameter-shift")
+    ax1.plot(wires_list, backprop_wires, ".-", label="backprop")
 
     ax1.legend()
 
@@ -122,16 +119,17 @@ def circuit(params):
     ax1.set_yscale("log")
     ax1.set_title("Scaling with wires")
 
-    ax2.plot(layers_list, adjoint_layers, '.-', label="adjoint")
-    ax2.plot(layers_list, ps_layers, '.-', label="parameter-shift")
-    ax2.plot(layers_list, backprop_layers, '.-', label="backprop")
+    ax2.plot(layers_list, adjoint_layers, ".-", label="adjoint")
+    ax2.plot(layers_list, ps_layers, ".-", label="parameter-shift")
+    ax2.plot(layers_list, backprop_layers, ".-", label="backprop")
 
     ax2.legend()
 
     ax2.set_xlabel("Number of layers")
     ax2.set_xticks(layers_list)
-    ax2.set_ylabel("Time")
-    ax2.set_title("Scaling with Layers")
+    ax2.set_ylabel("Log Time")
+    ax2.set_yscale("log")
+    ax2.set_title("Scaling with layers")
 
     plt.savefig("scaling.png")
 
diff --git a/demonstrations/ahs_aquila.metadata.json b/demonstrations/ahs_aquila.metadata.json
index fc530f8d99..9c4d2538d2 100644
--- a/demonstrations/ahs_aquila.metadata.json
+++ b/demonstrations/ahs_aquila.metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2023-05-16T00:00:00+00:00",
-    "dateOfLastModification": "2024-10-07T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-11T00:00:00+00:00",
     "categories": ["Quantum Hardware", "Devices and Performance", "Quantum Computing"],
     "tags": [],
     "previewImages": [
diff --git a/demonstrations/ahs_aquila.py b/demonstrations/ahs_aquila.py
index c579b2f385..722347ad61 100644
--- a/demonstrations/ahs_aquila.py
+++ b/demonstrations/ahs_aquila.py
@@ -132,7 +132,7 @@
 
 The modification of the energy levels when atoms are in proximity gives rise to Rydberg blockade,
 where atoms that have been driven by a pulse that would, in isolation, leave them in the excited state
-instead remain in the ground state due to neighboring atoms being excited. The distance within which two 
+instead remain in the ground state due to neighboring atoms being excited. The distance within which two
 neighboring atoms are effectively prevented from both being excited is referred to as the *blockade radius* :math:`R_b.`
 
 This brings us to our discussion of the second part of the Hamiltonian: the drive term.
@@ -220,6 +220,16 @@
     device_arn="arn:aws:braket:us-east-1::device/qpu/quera/Aquila",
     wires=3,
 )
+##############################################################################
+# .. rst-class:: sphx-glr-script-out
+#
+#
+#  .. code-block:: none
+#
+#      pennylane/pennylane/__init__.py:201: PennyLaneDeprecationWarning: pennylane.QuantumFunctionError is no longer accessible at top-level
+#      and must be imported as pennylane.exceptions.QuantumFunctionError. Support for top-level access will be removed in v0.43.
+#        warnings.warn(
+#
 
 rydberg_simulator = qml.device("braket.local.ahs", wires=3)
 
diff --git a/demonstrations/getting_started_with_hybrid_jobs.metadata.json b/demonstrations/getting_started_with_hybrid_jobs.metadata.json
index b7b67ddfe9..b64b638561 100644
--- a/demonstrations/getting_started_with_hybrid_jobs.metadata.json
+++ b/demonstrations/getting_started_with_hybrid_jobs.metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2023-10-16T00:00:00+00:00",
-    "dateOfLastModification": "2025-01-14T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-11T00:00:00+00:00",
     "categories": [
         "Devices and Performance"
     ],
diff --git a/demonstrations/getting_started_with_hybrid_jobs.py b/demonstrations/getting_started_with_hybrid_jobs.py
index 1d97626328..a5d5f159e9 100644
--- a/demonstrations/getting_started_with_hybrid_jobs.py
+++ b/demonstrations/getting_started_with_hybrid_jobs.py
@@ -10,7 +10,7 @@
 
 In this tutorial, we'll walk through how to create your first hybrid quantum-classical algorithms on AWS.
 With a single-line-of-code, we'll see how to scale from PennyLane simulators on your laptop to running full-scale experiments on AWS that leverage both powerful classical compute and quantum devices.
-You'll gain understanding of the hybrid jobs queue, including QPU priority queuing, and learn how to scale classical resources for resource-intensive tasks. 
+You'll gain understanding of the hybrid jobs queue, including QPU priority queuing, and learn how to scale classical resources for resource-intensive tasks.
 We hope these tools will empower you to start experimenting today with hybrid quantum algorithms!
 
 .. figure:: /_static/demonstration_assets/getting_started_with_hybrid_jobs/socialthumbnail_large_getting_started_with_hybrid_jobs.png
@@ -40,8 +40,8 @@
 time, enabling you to keep track of costs, budget, or custom metrics such as training loss or
 expectation values.
 
-Importantly, on specific QPUs, running your algorithm in Hybrid Jobs benefits from `parametric compilation <https://docs.aws.amazon.com/braket/latest/developerguide/braket-jobs-parametric-compilation.html>`__. 
-This reduces the overhead associated with the computationally expensive compilation step by compiling a circuit only once and not for every iteration in your hybrid algorithm. 
+Importantly, on specific QPUs, running your algorithm in Hybrid Jobs benefits from `parametric compilation <https://docs.aws.amazon.com/braket/latest/developerguide/braket-jobs-parametric-compilation.html>`__.
+This reduces the overhead associated with the computationally expensive compilation step by compiling a circuit only once and not for every iteration in your hybrid algorithm.
 This dramatically reduces the total runtime for many variational algorithms.
 For long-running hybrid jobs, Braket automatically uses the updated calibration data from the hardware provider when compiling your circuit to ensure the highest quality results.
 
@@ -67,6 +67,15 @@
 
 device = qml.device("braket.local.qubit", wires=1)
 
+##############################################################################
+# .. rst-class:: sphx-glr-script-out
+#
+#  .. code-block:: none
+#
+#       pennylane/__init__.py:200: PennyLaneDeprecationWarning: pennylane.QuantumFunctionError is no longer accessible at top-level
+#       and must be imported as pennylane.exceptions.QuantumFunctionError. Support for top-level access will be removed in v0.43.
+#         warnings.warn(
+
 ######################################################################
 # Now we define a circuit with two rotation gates and measure the expectation value in the
 # :math:`Z`-basis.
@@ -246,6 +255,22 @@ def circuit(params):
 # Additionally, we can plot the metrics recorded during the algorithm. Below we show the expectation
 # value decreases with each iteration as expected.
 #
+# .. note::
+#
+#     ``job.metrics()`` will be an empty dictionary while the job is running, and likely also for
+#     a few minutes afterwards. To make sure that the below plot generates correctly, it is recommended
+#     to block execution until the metrics are correctly reported. This can be done by:
+#
+#     * using a ``while`` loop to manually block execution until the metrics are available.
+#     * using a Python debugger and setting a breakpoint before the line that uses ``job.metrics()``
+#       and blocking as needed.
+#
+#     We will use a ``while`` loop as shown below.
+#
+
+while len(job.metrics()) == 0:
+    pass
+
 
 import pandas as pd
 import matplotlib.pyplot as plt
@@ -304,8 +329,8 @@ def circuit(params):
 # .. note::
 #   AWS devices must be declared within the body of the decorated function.
 #
-# .. warning:: 
-#   The Rigetti device used in this demo, AspenM3, has been retired. For an updated list of available hardware through 
+# .. warning::
+#   The Rigetti device used in this demo, AspenM3, has been retired. For an updated list of available hardware through
 #   Amazon Braket, please consult the `supported regions and devices documentation <https://docs.aws.amazon.com/braket/latest/developerguide/braket-devices.html>`__. The general steps outlined below still hold regardless of the choice of device, though.
 #
 
diff --git a/demonstrations/qnspsa.metadata.json b/demonstrations/qnspsa.metadata.json
index e93a848d74..fb2795e347 100644
--- a/demonstrations/qnspsa.metadata.json
+++ b/demonstrations/qnspsa.metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2022-07-18T00:00:00+00:00",
-    "dateOfLastModification": "2025-06-05T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-11T00:00:00+00:00",
     "categories": [
         "Optimization"
     ],
diff --git a/demonstrations/qnspsa.py b/demonstrations/qnspsa.py
index 994846b6df..24df5fecf4 100644
--- a/demonstrations/qnspsa.py
+++ b/demonstrations/qnspsa.py
@@ -357,8 +357,8 @@ def get_grad(params_curr):
 #
 
 def get_overlap_tape(qnode, params1, params2):
-    tape_forward = qml.workflow.construct_tape(qnode)(*params1)
-    tape_inv = qml.workflow.construct_tape(qnode)(*params2)
+    tape_forward = qml.workflow.construct_tape(qnode)(params1)
+    tape_inv = qml.workflow.construct_tape(qnode)(params2)
 
     ops = tape_forward.operations + list(qml.adjoint(op) for op in reversed(tape_inv.operations))
     return qml.tape.QuantumTape(ops, [qml.probs(wires=tape_forward.wires)])
@@ -819,8 +819,8 @@ def __get_spsa_grad_tapes(self, cost, params):
         # used to estimate the gradient per optimization step. The sampled
         # direction is of the shape of the input parameter.
         direction = self.__get_perturbation_direction(params)
-        tape_forward = qml.workflow.construct_tape(cost)(*[params + self.finite_diff_step * direction])
-        tape_backward = qml.workflow.construct_tape(cost)(*[params - self.finite_diff_step * direction])
+        tape_forward = qml.workflow.construct_tape(cost)(params + self.finite_diff_step * direction)
+        tape_backward = qml.workflow.construct_tape(cost)(params - self.finite_diff_step * direction)
         return [tape_forward, tape_backward], direction
 
     def __update_tensor(self, tensor_raw):
@@ -863,8 +863,8 @@ def __regularize_tensor(self, metric_tensor):
 
     def __apply_blocking(self, cost, params_curr, params_next):
         # For numerical stability: apply the blocking condition on the parameter update.
-        tape_loss_curr = qml.workflow.construct_tape(cost)(*[params_curr])
-        tape_loss_next = qml.workflow.construct_tape(cost)(*[params_next])
+        tape_loss_curr = qml.workflow.construct_tape(cost)(params_curr)
+        tape_loss_next = qml.workflow.construct_tape(cost)(params_next)
 
         loss_curr, loss_next = qml.execute([tape_loss_curr, tape_loss_next], cost.device, None)
         # self.k has been updated earlier.
@@ -913,9 +913,9 @@ def __apply_blocking(self, cost, params_curr, params_next):
 # The optimizer performs reasonably well: the loss drops over optimization
 # steps and converges finally. We then reproduce the benchmarking test
 # between the gradient descent, quantum natural gradient descent, SPSA and
-# QN-SPSA in Fig. 1(b) of reference [#Gacon2021]_ with the following job. 
+# QN-SPSA in Fig. 1(b) of reference [#Gacon2021]_ with the following job.
 #
-# .. warning:: 
+# .. warning::
 #   The code required to plot the results of the example below is not provided, but a similar
 #   example can be found in this
 #   `notebook <https://github.com/aws/amazon-braket-examples/blob/main/examples/hybrid_jobs/6_QNSPSA_optimizer_with_embedded_simulator/qnspsa_with_embedded_simulator.ipynb>`__,
diff --git a/demonstrations/quantum_volume.metadata.json b/demonstrations/quantum_volume.metadata.json
index 4a626d10ed..05e2817552 100644
--- a/demonstrations/quantum_volume.metadata.json
+++ b/demonstrations/quantum_volume.metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2020-12-15T00:00:00+00:00",
-    "dateOfLastModification": "2025-01-08T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-11T00:00:00+00:00",
     "categories": [
         "Quantum Hardware",
         "Quantum Computing"
diff --git a/demonstrations/quantum_volume.py b/demonstrations/quantum_volume.py
index 08d3783992..057151eb96 100644
--- a/demonstrations/quantum_volume.py
+++ b/demonstrations/quantum_volume.py
@@ -15,7 +15,7 @@
 *Author: Olivia Di Matteo — Posted: 15 December 2020. Last updated: 15 April 2021.*
 
 .. warning::
-    The data in this demo was originally generated using system calibration data from the ``ibmq_lima`` device, 
+    The data in this demo was originally generated using system calibration data from the ``ibmq_lima`` device,
     which has since been retired. While the code now uses a fake version of the Lima device, the noise and calibration
     may have shifted since the data was generated.
 
@@ -161,6 +161,7 @@
 # The median of this probability distribution is:
 
 import numpy as np
+
 prob_array = np.fromiter(measurement_probs.values(), dtype=np.float64)
 print(f"Median = {np.median(prob_array):.3f}")
 
@@ -387,11 +388,10 @@ def qv_circuit_layer(num_qubits):
     for _ in range(m):
         qv_circuit_layer(m)
 
-(expanded_tape, ), _ = qml.transforms.decompose(tape, gate_set={qml.QubitUnitary, qml.SWAP})
+(expanded_tape,), _ = qml.transforms.decompose(tape, gate_set={qml.QubitUnitary, qml.SWAP})
 print(qml.drawer.tape_text(expanded_tape, wire_order=dev_ideal.wires, show_all_wires=True, show_matrices=True))
 
 
-
 ##############################################################################
 # .. rst-class:: sphx-glr-script-out
 #
@@ -458,6 +458,7 @@ def qv_circuit_layer(num_qubits):
 # distribution as follows:
 #
 
+
 def heavy_output_set(m, probs):
     # Compute heavy outputs of an m-qubit circuit with measurement outcome
     # probabilities given by probs, which is an array with the probabilities
@@ -490,7 +491,7 @@ def heavy_output_set(m, probs):
 
 # Run the circuit, compute heavy outputs, and print results
 [output_probs] = qml.execute([tape], dev_ideal)  # returns a list of result !
-output_probs = output_probs.reshape(2 ** m, )
+output_probs = output_probs.reshape(2**m)
 heavy_outputs, prob_heavy_output = heavy_output_set(m, output_probs)
 
 print("State\tProbability")
@@ -542,8 +543,8 @@ def heavy_output_set(m, probs):
 #
 #         .. code-block:: python3
 #
-#             from qiskit_ibm_provider import IBMProvider
-#             IBMProvider.save_account('MY_API_TOKEN')
+#             from qiskit_ibm_runtime import QiskitRuntimeService
+#             QiskitRuntimeService.save_account(channel="ibm_quantum_platform", token="<API_TOKEN>", overwrite=True, set_as_default=True)
 #
 #    A token can be generated by logging into your IBM Q account `here <https://quantum-computing.ibm.com/login>`_ .
 #
@@ -561,13 +562,15 @@ def heavy_output_set(m, probs):
 
 from rustworkx.visualization import mpl_draw
 from qiskit_ibm_runtime.fake_provider import FakeLimaV2
+from matplotlib import pyplot as plt
 
 mpl_draw(FakeLimaV2().coupling_map.graph)
+plt.show()
 
 
 ##############################################################################
 #
-# .. figure:: ../_static/demonstration_assets/quantum_volume/lima.svg
+# .. figure:: ../_static/demonstration_assets/quantum_volume/fake_lima.png
 #     :align: center
 #     :width: 75%
 #
@@ -590,11 +593,11 @@ def heavy_output_set(m, probs):
 
 
 transpile_args = {
-        "optimization_level": 3,
-        "coupling_map": FakeLimaV2().coupling_map,
-        "layout_method": "sabre",
-        "routing_method": "sabre",
-    }
+    "optimization_level": 3,
+    "coupling_map": FakeLimaV2().coupling_map,
+    "layout_method": "sabre",
+    "routing_method": "sabre",
+}
 
 dev_noisy = qml.device("qiskit.remote", wires=5, shots=1000, backend=FakeLimaV2(), **transpile_args)
 
@@ -624,22 +627,19 @@ def heavy_output_set(m, probs):
             for _ in range(m):
                 qv_circuit_layer(m)
             qml.probs(wires=range(m))
-        
+
         # when using qml.execute, shots must be on the tape
         tape_counts = tape_probs.copy(measurements=[qml.counts()], shots=1000)
 
         output_probs = qml.execute([tape_probs], dev_ideal)
-        output_probs = output_probs[0].reshape(2 ** m, )
+        output_probs = output_probs[0].reshape(2**m)
         heavy_outputs, prob_heavy_output = heavy_output_set(m, output_probs)
 
         # Execute circuit on the noisy device
         [counts] = qml.execute([tape_counts], dev_noisy)
 
         device_heavy_outputs = np.sum(
-            [
-                counts[x] if x[:m] in heavy_outputs else 0
-                for x in counts.keys()
-            ]
+            [counts[x] if x[:m] in heavy_outputs else 0 for x in counts.keys()]
         )
         fraction_device_heavy_output = device_heavy_outputs / dev_noisy.shots.total_shots
 
@@ -726,7 +726,6 @@ def heavy_output_set(m, probs):
 # :math:`2\sigma` away from the threshold!
 #
 
-from matplotlib import pyplot as plt
 fig, ax = plt.subplots(2, 2, sharex=True, sharey=True, figsize=(9, 6))
 ax = ax.ravel()
 
diff --git a/demonstrations/tutorial_adjoint_diff.metadata.json b/demonstrations/tutorial_adjoint_diff.metadata.json
index 95e9a2c6fc..ab4a089127 100644
--- a/demonstrations/tutorial_adjoint_diff.metadata.json
+++ b/demonstrations/tutorial_adjoint_diff.metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2021-11-23T00:00:00+00:00",
-    "dateOfLastModification": "2024-10-07T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-11T00:00:00+00:00",
     "categories": [
         "Getting Started"
     ],
diff --git a/demonstrations/tutorial_adjoint_diff.py b/demonstrations/tutorial_adjoint_diff.py
index 5941243c92..3f1506443b 100644
--- a/demonstrations/tutorial_adjoint_diff.py
+++ b/demonstrations/tutorial_adjoint_diff.py
@@ -71,24 +71,21 @@
 # To start, we import PennyLane and Jax's numpy:
 
 import pennylane as qml
-import jax
-from jax import numpy as np
-
-jax.config.update("jax_platform_name", "cpu")
+import pennylane.numpy as pnp
 
 
 ##############################################################################
 # We also need a circuit to simulate:
 #
 
-dev = qml.device('default.qubit', wires=2)
+dev = qml.device("default.qubit", wires=2)
 
-x = np.array([0.1, 0.2, 0.3])
+x = pnp.array([0.1, 0.2, 0.3], requires_grad=True)
 
 @qml.qnode(dev, diff_method="adjoint")
 def circuit(a):
     qml.RX(a[0], wires=0)
-    qml.CNOT(wires=(0,1))
+    qml.CNOT(wires=(0, 1))
     qml.RY(a[1], wires=1)
     qml.RZ(a[2], wires=1)
     return qml.expval(qml.PauliX(wires=1))
@@ -107,20 +104,20 @@ def circuit(a):
 
 ops = [
     qml.RX(x[0], wires=0),
-    qml.CNOT(wires=(0,1)),
+    qml.CNOT(wires=(0, 1)),
     qml.RY(x[1], wires=1),
-    qml.RZ(x[2], wires=1)
+    qml.RZ(x[2], wires=1),
 ]
 M = qml.PauliX(wires=1)
 
 ##############################################################################
 # We will be using internal functions to manipulate the nuts and bolts of a statevector
 # simulation.
-# 
+#
 # Internally, the statevector simulation uses a 2x2x2x... array to represent the state, whereas
 # the result of a measurement ``qml.state()`` flattens this internal representation. Each dimension
 # in the statevector corresponds to a different qubit.
-# 
+#
 # The internal functions ``create_initial_state`` and ``apply_operation``
 # make additional assumptions about their inputs, and will fail or give incorrect results
 # if those assumptions are not met. To work with these simulation tools, all operations should provide
@@ -161,7 +158,7 @@ def circuit(a):
 # Now we use ``np.vdot`` to take their inner product.  ``np.vdot`` sums over all dimensions
 # and takes the complex conjugate of the first input.
 
-M_expval = np.vdot(bra, ket)
+M_expval = pnp.vdot(bra, ket)
 print("vdot  : ", M_expval)
 print("QNode : ", circuit(x))
 
@@ -189,10 +186,10 @@ def circuit(a):
 
 ket_n = create_initial_state((0, 1))
 
-for op in ops[:-1]: # don't apply last operation
+for op in ops[:-1]:  # don't apply last operation
     ket_n = apply_operation(op, ket_n)
 
-M_expval_n = np.vdot(bra_n, ket_n)
+M_expval_n = pnp.vdot(bra_n, ket_n)
 print(M_expval_n)
 
 ##############################################################################
@@ -227,7 +224,7 @@ def circuit(a):
 bra_n_v2 = apply_operation(adj_op, bra_n_v2)
 ket_n_v2 = apply_operation(adj_op, ket_n_v2)
 
-M_expval_n_v2 = np.vdot(bra_n_v2, ket_n_v2)
+M_expval_n_v2 = pnp.vdot(bra_n_v2, ket_n_v2)
 print(M_expval_n_v2)
 
 ##############################################################################
@@ -256,7 +253,7 @@ def circuit(a):
     adj_op = qml.adjoint(op)
     bra_loop = apply_operation(adj_op, bra_loop)
     ket_loop = apply_operation(adj_op, ket_loop)
-    print(np.vdot(bra_loop, ket_loop))
+    print(pnp.vdot(bra_loop, ket_loop))
 
 ##############################################################################
 # Finally to Derivatives!
@@ -370,7 +367,7 @@ def circuit(a):
         dU = qml.operation.operation_derivative(op)
         ket_temp = apply_operation(qml.QubitUnitary(dU, op.wires), ket)
 
-        dM = 2 * np.real(np.vdot(bra, ket_temp))
+        dM = 2 * pnp.real(pnp.vdot(bra, ket_temp))
         grads.append(dM)
 
     bra = apply_operation(adj_op, bra)
@@ -382,7 +379,7 @@ def circuit(a):
 
 print("our calculation: ", [float(grad) for grad in grads])
 
-grad_compare = jax.grad(circuit)(x)
+grad_compare = qml.grad(circuit)(x)
 print("comparison: ", grad_compare)
 
 ##############################################################################
@@ -393,17 +390,17 @@ def circuit(a):
 # ``"default.qubit"`` or PennyLane's fast C++ simulator ``"lightning.qubit"``.
 
 
-dev_lightning = qml.device('lightning.qubit', wires=2)
+dev_lightning = qml.device("lightning.qubit", wires=2)
 
 @qml.qnode(dev_lightning, diff_method="adjoint")
 def circuit_adjoint(a):
     qml.RX(a[0], wires=0)
-    qml.CNOT(wires=(0,1))
+    qml.CNOT(wires=(0, 1))
     qml.RY(a[1], wires=1)
     qml.RZ(a[2], wires=1)
     return qml.expval(M)
 
-print(jax.grad(circuit_adjoint)(x))
+print(qml.grad(circuit_adjoint)(x))
 
 ##############################################################################
 # Performance

From 5c0638b6a2708fa6944c6e9e160cbb61928ea8ed Mon Sep 17 00:00:00 2001
From: Andrija Paurevic <46359773+andrijapau@users.noreply.github.com>
Date: Mon, 14 Jul 2025 15:25:37 -0400
Subject: [PATCH 14/22] upgrade `quimb` and `cotengra` versions (#1420)

**Context:**

This demo was getting random warnings,
```
/home/runner/work/qml/qml/venv/lib/python3.10/site-packages/cotengra/hyperoptimizers/hyper.py:57: UserWarning: Couldn't find `optuna`, `cmaes`, or `nevergrad` so will use completely random sampling in place of hyper-optimization.
  warnings.warn(
/home/runner/work/qml/qml/venv/lib/python3.10/site-packages/cotengra/hyperoptimizers/hyper.py:76: UserWarning: Couldn't find `optuna`, `cmaes`, or `nevergrad` so will use completely random sampling in place of hyper-optimization.
  warnings.warn(
```
which seemed to only occur with `cotengra <= 0.7.4`.


![image](https://github.com/user-attachments/assets/2ed9409a-1e9b-4662-a1da-296bd8ce303a)



**Description of the change:**

By upgrading `cotengra` (and `quimb` ... why not?), the warnings
disappear.

**Benefits:**

No more warnings,


![image](https://github.com/user-attachments/assets/317699c6-d0f5-48ce-96ee-71041f87f1ce)
---
 ...ircuits_with_tensor_networks.metadata.json |  2 +-
 poetry.lock                                   | 22 +++++++++----------
 pyproject.toml                                |  3 ++-
 3 files changed, 14 insertions(+), 13 deletions(-)

diff --git a/demonstrations/tutorial_How_to_simulate_quantum_circuits_with_tensor_networks.metadata.json b/demonstrations/tutorial_How_to_simulate_quantum_circuits_with_tensor_networks.metadata.json
index 7065e33abc..5a56780fff 100644
--- a/demonstrations/tutorial_How_to_simulate_quantum_circuits_with_tensor_networks.metadata.json
+++ b/demonstrations/tutorial_How_to_simulate_quantum_circuits_with_tensor_networks.metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2024-07-09T00:00:00+00:00",
-    "dateOfLastModification": "2024-10-07T00:00:00+00:00",
+    "dateOfLastModification": "2025-06-25T00:00:00+00:00",
     "categories": [
         "Getting Started",
         "Quantum Computing",
diff --git a/poetry.lock b/poetry.lock
index b276200afb..7089a8649f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
 
 [[package]]
 name = "absl-py"
@@ -890,14 +890,14 @@ test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist"
 
 [[package]]
 name = "cotengra"
-version = "0.7.4"
+version = "0.7.5"
 description = "Hyper optimized contraction trees for large tensor networks and einsums."
 optional = false
 python-versions = ">=3.8"
 groups = ["executable-dependencies"]
 files = [
-    {file = "cotengra-0.7.4-py3-none-any.whl", hash = "sha256:a161af1f180558c950918f37e691ec2b9091f49aae83c37a174625f2776c5c90"},
-    {file = "cotengra-0.7.4.tar.gz", hash = "sha256:89a01d1d0e025cb6a477fafc318955859067c17c67562de933340c7506c453d7"},
+    {file = "cotengra-0.7.5-py3-none-any.whl", hash = "sha256:0d269883ee87e4a08ce6c91ca38aafbd3d56e177a3b3b54d61e3fe314fe67e8b"},
+    {file = "cotengra-0.7.5.tar.gz", hash = "sha256:f3cee6c0cd29fd239a1e9868c3b719c574cc56204dbf7e658ba10f3fd93dce98"},
 ]
 
 [package.dependencies]
@@ -6521,19 +6521,19 @@ iqm = ["qiskit-iqm"]
 
 [[package]]
 name = "quimb"
-version = "1.8.2"
+version = "1.11.0"
 description = "Quantum information and many-body library."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["executable-dependencies"]
 files = [
-    {file = "quimb-1.8.2-py3-none-any.whl", hash = "sha256:d1a3412cec0dc0df3d9c942d7331d3c5947bce79434b73fd11cca3ee51eea855"},
-    {file = "quimb-1.8.2.tar.gz", hash = "sha256:f3529770da6b5283f072d8ff41b990b41a418563546376bc489b6ccc7102bec7"},
+    {file = "quimb-1.11.0-py3-none-any.whl", hash = "sha256:64435388ef73367fb104e680a9e2e4b439d715bad56a8cb716a21c34e8d589f0"},
+    {file = "quimb-1.11.0.tar.gz", hash = "sha256:9067827425c4a7e8af2b7bf04c305d5f31cc4408850dc9827513b35bae802179"},
 ]
 
 [package.dependencies]
 autoray = ">=0.6.12"
-cotengra = ">=0.6.1"
+cotengra = ">=0.7.1"
 cytoolz = ">=0.8.0"
 numba = ">=0.39"
 numpy = ">=1.17"
@@ -6543,7 +6543,7 @@ tqdm = ">=4"
 
 [package.extras]
 advanced-solvers = ["mpi4py", "petsc4py", "slepc4py"]
-docs = ["astroid (<3.0.0)", "autoray (>=0.6.12)", "cotengra (>=0.6.1)", "doc2dash (>=2.4.1)", "furo", "ipython (!=8.7.0)", "myst-nb", "setuptools-scm", "sphinx (>=2.0)", "sphinx-autoapi", "sphinx-copybutton", "sphinx-design"]
+docs = ["astroid (<3.0.0)", "autoray (>=0.6.12)", "cotengra (>=0.7.1)", "doc2dash (>=2.4.1)", "furo", "ipython (!=8.7.0)", "myst-nb", "setuptools-scm", "sphinx (>=2.0)", "sphinx-autoapi", "sphinx-copybutton", "sphinx-design"]
 tensor = ["matplotlib (>=2.0)", "networkx (>=2.3)"]
 tests = ["coverage", "pytest", "pytest-cov"]
 
@@ -9559,4 +9559,4 @@ files = [
 [metadata]
 lock-version = "2.1"
 python-versions = "~3.10.0"
-content-hash = "1ff4d16940f887028e0858a425e2a524049c051c348c9512d8dece2e246d6785"
+content-hash = "599a988968d00ba3581c47c00d9c988cac054653962a4d998291c0d0f0ad53b4"
diff --git a/pyproject.toml b/pyproject.toml
index dbc4c29162..046f467fed 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -96,7 +96,8 @@ zstd = "*"
 dill = "*"
 stim = "*"
 bluequbit = "0.9.3b1"
-quimb = "1.8.2"
+quimb = "1.11.0"
+cotengra = "0.7.5"
 aiohttp = "3.9.5"
 fsspec = "2024.6.1"
 h5py = "3.11.0"

From 0e1f6db4c24d06d83a7ddfb35880d4a57d47f55a Mon Sep 17 00:00:00 2001
From: Andrija Paurevic <46359773+andrijapau@users.noreply.github.com>
Date: Tue, 15 Jul 2025 20:20:06 -0400
Subject: [PATCH 15/22] update `pyproject.toml` to use latest PL ecosystem
 dependencies (#1441)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

With the latest ecosystem released to PyPI, it's time to update `dev` to
use these dependencies. This PR also reverts the change to install
pennylane from master instead of the `v0.42.0-rc0` branch.

This PR was prepared by first updating PL ecosystem to the latest
release, then `poetry lock`. Then the remaining changes came from making
the dependency tree happy.

⚠️ Important change: `qrisp` and `neural-tangents` were taken out of the
`pyproject.toml` dependencies as they create some weird `tensorflow`
error,
```
% poetry lock
Updating dependencies
Resolving dependencies... (6.3s)

Package 'tensorflow-macos' is listed as a dependency of itself.
```

This is fine because the only demos that depend on them are
non-executable.
---
 Makefile                                      |    5 +-
 ...equations_hhl_qrisp_catalyst.metadata.json |    2 +-
 .../linear_equations_hhl_qrisp_catalyst.py    |    3 +-
 .../ml_classical_shadows.metadata.json        |    2 +-
 demonstrations/ml_classical_shadows.py        |    3 +-
 poetry.lock                                   | 3338 ++++++++---------
 pyproject.toml                                |   26 +-
 7 files changed, 1617 insertions(+), 1762 deletions(-)

diff --git a/Makefile b/Makefile
index a4eec44244..9cfcd7774d 100644
--- a/Makefile
+++ b/Makefile
@@ -62,7 +62,6 @@ download:
 	wget --no-verbose -N https://download.pytorch.org/tutorial/hymenoptera_data.zip -P $(DATADIR)
 	unzip -q -o $(DATADIR)/hymenoptera_data.zip -d $(DATADIR)/
 
-# TODO: Remove numpy installation command on next release. Currently Catalyst 0.11 pins jaxlib to 0.4.8
 # TODO: Update flax, or certain tutorials e.g. tutorial_rl_pulse.py will fail due to implicit confliction between jax==0.6.0 and flax==0.9.0
 environment:
 	@command -v $(POETRY_BIN) --version >/dev/null 2>&1 || { echo >&2 "Setting up the environment requires a valid installation of python-poetry. Please install and add poetry to PATH or pass the executable using POETRY_BIN. Aborting."; exit 1; }
@@ -80,10 +79,8 @@ environment:
 			$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/PennyLaneAI/pennylane-qulacs.git#egg=pennylane-qulacs;\
 			$$PYTHON_VENV_PATH/bin/python -m pip install --extra-index-url https://test.pypi.org/simple/ PennyLane-Catalyst --pre --upgrade;\
 			$$PYTHON_VENV_PATH/bin/python -m pip install --extra-index-url https://test.pypi.org/simple/ PennyLane-Lightning --pre --upgrade;\
-			$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/PennyLaneAI/pennylane.git@v0.42.0-rc0#egg=pennylane;\
+			$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/PennyLaneAI/pennylane.git#egg=pennylane;\
 			$$PYTHON_VENV_PATH/bin/python -m pip install --upgrade git+https://github.com/XanaduAI/iqpopt.git#egg=iqpopt;\
-			$$PYTHON_VENV_PATH/bin/python -m pip install 'numpy<2';\
-			$$PYTHON_VENV_PATH/bin/python -m pip install jax==0.6.0 jaxlib==0.6.0 flax==0.10.6;\
 		fi;\
 	fi
 
diff --git a/demonstrations/linear_equations_hhl_qrisp_catalyst.metadata.json b/demonstrations/linear_equations_hhl_qrisp_catalyst.metadata.json
index 2e746833cc..e63e2a2c8d 100644
--- a/demonstrations/linear_equations_hhl_qrisp_catalyst.metadata.json
+++ b/demonstrations/linear_equations_hhl_qrisp_catalyst.metadata.json
@@ -12,7 +12,7 @@
         }
     ],
     "dateOfPublication": "2025-02-26T09:00:00+00:00",
-    "dateOfLastModification": "2025-02-26T09:00:00+00:00",
+    "dateOfLastModification": "2025-07-15T09:00:00+00:00",
     "categories": [
         "Algorithms",
         "Quantum Computing"
diff --git a/demonstrations/linear_equations_hhl_qrisp_catalyst.py b/demonstrations/linear_equations_hhl_qrisp_catalyst.py
index 61630f8759..82edbe7706 100644
--- a/demonstrations/linear_equations_hhl_qrisp_catalyst.py
+++ b/demonstrations/linear_equations_hhl_qrisp_catalyst.py
@@ -40,7 +40,8 @@
 components easily. We'll demonstrate this later in this demo.
 
 You can install Qrisp to experiment with this implementation yourself, at your own pace, by calling
-``pip install qrisp``.
+``pip install qrisp``. Please note that `qrisp` is only compatible with PennyLane versions
+<= 0.41.1 and Catalyst versions <= 0.11.0.
 
 QuantumVariable
 ~~~~~~~~~~~~~~~
diff --git a/demonstrations/ml_classical_shadows.metadata.json b/demonstrations/ml_classical_shadows.metadata.json
index 5497369c69..b8c4d33861 100644
--- a/demonstrations/ml_classical_shadows.metadata.json
+++ b/demonstrations/ml_classical_shadows.metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2022-05-02T00:00:00+00:00",
-    "dateOfLastModification": "2025-07-10T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-15T00:00:00+00:00",
     "categories": [
         "Quantum Machine Learning"
     ],
diff --git a/demonstrations/ml_classical_shadows.py b/demonstrations/ml_classical_shadows.py
index d7ddd7a763..6569a61f48 100644
--- a/demonstrations/ml_classical_shadows.py
+++ b/demonstrations/ml_classical_shadows.py
@@ -30,7 +30,8 @@
     This demo is compatible with the latest version of PennyLane and ``neural-tangents``.
     The latter is required for building the kernel for the infinite network used in training.
     As of July 10th, 2025, the latest version of ``neural-tangents`` (v0.6.5) is only compatible
-    with ``jax<0.6.0``.
+    with ``jax<0.6.0``. This means that this demo is only compatible with PennyLane versions
+    <= 0.41.1 and Catalyst versions <= 0.11.0.
 
 
 Building the 2D Heisenberg model
diff --git a/poetry.lock b/poetry.lock
index 7089a8649f..b3b708c0a4 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,14 +2,14 @@
 
 [[package]]
 name = "absl-py"
-version = "2.3.0"
+version = "2.3.1"
 description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
 optional = false
 python-versions = ">=3.8"
 groups = ["executable-dependencies"]
 files = [
-    {file = "absl_py-2.3.0-py3-none-any.whl", hash = "sha256:9824a48b654a306168f63e0d97714665f8490b8d89ec7bf2efc24bf67cf579b3"},
-    {file = "absl_py-2.3.0.tar.gz", hash = "sha256:d96fda5c884f1b22178852f30ffa85766d50b99e00775ea626c23304f582fc4f"},
+    {file = "absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d"},
+    {file = "absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9"},
 ]
 
 [[package]]
@@ -123,18 +123,19 @@ speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns ;
 
 [[package]]
 name = "aiosignal"
-version = "1.3.2"
+version = "1.4.0"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.9"
 groups = ["executable-dependencies"]
 files = [
-    {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
-    {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
+    {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"},
+    {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"},
 ]
 
 [package.dependencies]
 frozenlist = ">=1.1.0"
+typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""}
 
 [[package]]
 name = "alabaster"
@@ -150,14 +151,14 @@ files = [
 
 [[package]]
 name = "alembic"
-version = "1.16.1"
+version = "1.16.4"
 description = "A database migration tool for SQLAlchemy."
 optional = false
 python-versions = ">=3.9"
 groups = ["executable-dependencies"]
 files = [
-    {file = "alembic-1.16.1-py3-none-any.whl", hash = "sha256:0cdd48acada30d93aa1035767d67dff25702f8de74d7c3919f2e8492c8db2e67"},
-    {file = "alembic-1.16.1.tar.gz", hash = "sha256:43d37ba24b3d17bc1eb1024fe0f51cd1dc95aeb5464594a02c6bb9ca9864bfa4"},
+    {file = "alembic-1.16.4-py3-none-any.whl", hash = "sha256:b05e51e8e82efc1abd14ba2af6392897e145930c3e0a2faf2b0da2f7f7fd660d"},
+    {file = "alembic-1.16.4.tar.gz", hash = "sha256:efab6ada0dd0fae2c92060800e0bf5c1dc26af15a10e02fb4babff164b4725e2"},
 ]
 
 [package.dependencies]
@@ -336,14 +337,14 @@ test = ["pytest", "pytest-cov", "pytest-xdist"]
 
 [[package]]
 name = "autoray"
-version = "0.7.1"
+version = "0.7.2"
 description = "Abstract your array operations."
 optional = false
 python-versions = ">=3.9"
 groups = ["base", "executable-dependencies"]
 files = [
-    {file = "autoray-0.7.1-py3-none-any.whl", hash = "sha256:36bbcac072771039073d896eb3e73cedbe41b879e247b6ec3c70781ce9afc720"},
-    {file = "autoray-0.7.1.tar.gz", hash = "sha256:e5af6c62ba7c3be8a36b2ab19e344c715f3478d39a0e47755aad365572bc90f8"},
+    {file = "autoray-0.7.2-py3-none-any.whl", hash = "sha256:f692f0f21a6f187ce877f3cc810f035d601ccd713beac02974811650bb60f580"},
+    {file = "autoray-0.7.2.tar.gz", hash = "sha256:7f8f375af12deea65736b65305b86eff2e11ebaf8c58d3e599752681772ff0d7"},
 ]
 
 [package.extras]
@@ -445,26 +446,26 @@ redis = ["redis (>=2.10.5)"]
 
 [[package]]
 name = "cachetools"
-version = "6.0.0"
+version = "6.1.0"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.9"
 groups = ["base", "executable-dependencies"]
 files = [
-    {file = "cachetools-6.0.0-py3-none-any.whl", hash = "sha256:82e73ba88f7b30228b5507dce1a1f878498fc669d972aef2dde4f3a3c24f103e"},
-    {file = "cachetools-6.0.0.tar.gz", hash = "sha256:f225782b84438f828328fc2ad74346522f27e5b1440f4e9fd18b20ebfd1aa2cf"},
+    {file = "cachetools-6.1.0-py3-none-any.whl", hash = "sha256:1c7bb3cf9193deaf3508b7c5f2a79986c13ea38965c5adcff1f84519cf39163e"},
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-version = "2025.4.26"
+version = "2025.7.14"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 groups = ["main", "base", "executable-dependencies", "metadata-validation"]
 files = [
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 [[package]]
@@ -736,18 +737,18 @@ requests = ">=2.18,<3.0"
 
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-version = "0.11.0"
+version = "0.11.1"
 description = "Clarabel Conic Interior Point Solver for Rust / Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["executable-dependencies"]
 files = [
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 [package.dependencies]
@@ -773,14 +774,14 @@ rapidfuzz = ">=3.0.0,<4.0.0"
 
 [[package]]
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-version = "8.2.1"
+version = "8.1.8"
 description = "Composable command line interface toolkit"
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+python-versions = ">=3.7"
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@@ -965,49 +966,49 @@ files = [
 
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+version = "45.0.5"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
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 python-versions = "!=3.9.0,!=3.9.1,>=3.7"
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 markers = {main = "sys_platform == \"linux\""}
 
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 sdist = ["build (>=1.0.0)"]
 ssh = ["bcrypt (>=3.1.5)"]
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 test-randomorder = ["pytest-randomly"]
 
 [[package]]
 name = "cvxpy"
-version = "1.6.5"
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 description = "A domain-specific language for modeling convex optimization problems in Python."
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 python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
@@ -1224,20 +1225,20 @@ cython = ["cython"]
 
 [[package]]
 name = "dask"
-version = "2025.5.1"
+version = "2025.7.0"
 description = "Parallel PyData with Task Scheduling"
 optional = false
 python-versions = ">=3.10"
 groups = ["executable-dependencies"]
 files = [
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 [package.dependencies]
 click = ">=8.1"
 cloudpickle = ">=3.0.0"
-distributed = {version = "2025.5.1", optional = true, markers = "extra == \"distributed\""}
+distributed = {version = "2025.7.0", optional = true, markers = "extra == \"distributed\""}
 fsspec = ">=2021.09.0"
 importlib_metadata = {version = ">=4.13.0", markers = "python_version < \"3.12\""}
 packaging = ">=20.0"
@@ -1250,7 +1251,7 @@ array = ["numpy (>=1.24)"]
 complete = ["dask[array,dataframe,diagnostics,distributed]", "lz4 (>=4.3.2)", "pyarrow (>=14.0.1)"]
 dataframe = ["dask[array]", "pandas (>=2.0)", "pyarrow (>=14.0.1)"]
 diagnostics = ["bokeh (>=3.1.0)", "jinja2 (>=2.10.3)"]
-distributed = ["distributed (==2025.5.1)"]
+distributed = ["distributed (==2025.7.0)"]
 test = ["pandas[test]", "pre-commit", "pytest", "pytest-cov", "pytest-mock", "pytest-rerunfailures", "pytest-timeout", "pytest-xdist"]
 
 [[package]]
@@ -1378,20 +1379,20 @@ files = [
 
 [[package]]
 name = "distributed"
-version = "2025.5.1"
+version = "2025.7.0"
 description = "Distributed scheduler for Dask"
 optional = false
 python-versions = ">=3.10"
 groups = ["executable-dependencies"]
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 [package.dependencies]
 click = ">=8.0"
 cloudpickle = ">=3.0.0"
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+dask = "2025.7.0"
 jinja2 = ">=2.10.3"
 locket = ">=1.0.0"
 msgpack = ">=1.0.2"
@@ -1405,42 +1406,6 @@ tornado = ">=6.2.0"
 urllib3 = ">=1.26.5"
 zict = ">=3.0.0"
 
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-]
-
-[package.dependencies]
-absl-py = ">=0.6.1"
-attrs = ">=18.2.0"
-numpy = {version = ">=1.21.2", markers = "python_version >= \"3.10\""}
-wrapt = ">=1.11.2"
-
 [[package]]
 name = "docplex"
 version = "2.25.236"
@@ -1920,14 +1885,14 @@ penaltymodel = ">=1.0.0"
 
 [[package]]
 name = "etils"
-version = "1.12.2"
+version = "1.13.0"
 description = "Collection of common python utils"
 optional = false
 python-versions = ">=3.10"
 groups = ["executable-dependencies"]
 files = [
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+    {file = "etils-1.13.0-py3-none-any.whl", hash = "sha256:d9cd4f40fbe77ad6613b7348a18132cc511237b6c076dbb89105c0b520a4c6bb"},
+    {file = "etils-1.13.0.tar.gz", hash = "sha256:a5b60c71f95bcd2d43d4e9fb3dc3879120c1f60472bb5ce19f7a860b1d44f607"},
 ]
 
 [package.dependencies]
@@ -1994,24 +1959,25 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth
 
 [[package]]
 name = "fastapi"
-version = "0.115.12"
+version = "0.116.1"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 groups = ["executable-dependencies"]
 files = [
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 [package.dependencies]
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-starlette = ">=0.40.0,<0.47.0"
+starlette = ">=0.40.0,<0.48.0"
 typing-extensions = ">=4.8.0"
 
 [package.extras]
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+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=3.1.5)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0)", "jinja2 (>=3.1.5)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
+standard-no-fastapi-cloud-cli = ["email-validator (>=2.0.0)", "fastapi-cli[standard-no-fastapi-cloud-cli] (>=0.0.8)", "httpx (>=0.23.0)", "jinja2 (>=3.1.5)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
 
 [[package]]
 name = "fasteners"
@@ -2115,7 +2081,6 @@ description = "The FlatBuffers serialization format for Python"
 optional = false
 python-versions = "*"
 groups = ["executable-dependencies"]
-markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
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@@ -2123,90 +2088,83 @@ files = [
 
 [[package]]
 name = "flax"
-version = "0.9.0"
+version = "0.10.6"
 description = "Flax: A neural network library for JAX designed for flexibility"
 optional = false
 python-versions = ">=3.10"
 groups = ["executable-dependencies"]
 files = [
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 [package.dependencies]
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+jax = ">=0.5.1"
 msgpack = "*"
 optax = "*"
 orbax-checkpoint = "*"
 PyYAML = ">=5.4.1"
 rich = ">=11.1"
 tensorstore = "*"
-typing-extensions = ">=4.2"
+treescope = ">=0.1.7"
+typing_extensions = ">=4.2"
 
 [package.extras]
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-dev = ["pre-commit (>=3.8.0)"]
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 description = "Tools to manipulate font files"
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 [[package]]
@@ -2473,7 +2382,6 @@ description = "pasta is an AST-based Python refactoring library"
 optional = false
 python-versions = "*"
 groups = ["executable-dependencies"]
-markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
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 [package.extras]
@@ -2573,72 +2462,67 @@ test = ["objgraph", "psutil"]
 
 [[package]]
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 publish = ["build", "twine"]
 
 [[package]]
 name = "ibm-platform-services"
-version = "0.66.1"
+version = "0.67.0"
 description = "Python client library for IBM Cloud Platform Services"
 optional = false
 python-versions = ">=3.9"
 groups = ["executable-dependencies"]
 files = [
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 [package.dependencies]
-ibm_cloud_sdk_core = ">=3.24.1,<4.0.0"
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 [package.extras]
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 publish = ["build", "twine"]
 
 [[package]]
@@ -3033,71 +2917,65 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-ena
 
 [[package]]
 name = "jax"
-version = "0.4.28"
+version = "0.6.0"
 description = "Differentiate, compile, and transform Numpy code."
 optional = false
-python-versions = ">=3.9"
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 groups = ["executable-dependencies"]
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 [package.dependencies]
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+numpy = ">=1.25"
+opt_einsum = "*"
+scipy = ">=1.11.1"
 
 [package.extras]
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-tpu = ["jaxlib (==0.4.28)", "libtpu-nightly (==0.1.dev20240508)", "requests"]
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+cuda12-local = ["jax-cuda12-plugin (==0.6.0)", "jaxlib (==0.6.0)"]
+k8s = ["kubernetes"]
+minimum-jaxlib = ["jaxlib (==0.6.0)"]
+rocm = ["jax-rocm60-plugin (==0.6.0)", "jaxlib (==0.6.0)"]
+tpu = ["jaxlib (==0.6.0)", "libtpu (==0.0.13.*)", "requests"]
 
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+]
 
-[package.extras]
-cuda12-pip = ["nvidia-cublas-cu12 (>=12.1.3.1)", "nvidia-cuda-cupti-cu12 (>=12.1.105)", "nvidia-cuda-nvcc-cu12 (>=12.1.105)", "nvidia-cuda-runtime-cu12 (>=12.1.105)", "nvidia-cudnn-cu12 (>=8.9.2.26,<9.0)", "nvidia-cufft-cu12 (>=11.0.2.54)", "nvidia-cusolver-cu12 (>=11.4.5.107)", "nvidia-cusparse-cu12 (>=12.1.0.106)", "nvidia-nccl-cu12 (>=2.18.1)", "nvidia-nvjitlink-cu12 (>=12.1.105)"]
+[package.dependencies]
+ml_dtypes = ">=0.2.0"
+numpy = ">=1.25"
+scipy = ">=1.11.1"
 
 [[package]]
 name = "jaxopt"
@@ -3259,7 +3137,6 @@ description = "Multi-backend Keras"
 optional = false
 python-versions = ">=3.9"
 groups = ["executable-dependencies"]
-markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
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@@ -3396,7 +3273,6 @@ description = "Clang Python Bindings, mirrored from the official LLVM repo: http
 optional = false
 python-versions = "*"
 groups = ["executable-dependencies"]
-markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
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@@ -3624,15 +3500,14 @@ testing = ["pytest"]
 
 [[package]]
 name = "markdown"
-version = "3.8"
+version = "3.8.2"
 description = "Python implementation of John Gruber's Markdown."
 optional = false
 python-versions = ">=3.9"
 groups = ["executable-dependencies"]
-markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
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 ]
 
 [package.extras]
@@ -3876,29 +3751,36 @@ qiskit = ["ply (==3.11)", "qiskit (>=1.3.1,<1.4.0)", "qiskit-aer (>=0.15.1,<0.16
 
 [[package]]
 name = "ml-dtypes"
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 description = ""
 optional = false
 python-versions = ">=3.9"
 groups = ["executable-dependencies"]
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 [package.dependencies]
@@ -3939,190 +3821,191 @@ tests = ["pytest (>=4.6)"]
 
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+    {file = "multidict-6.6.3-py3-none-any.whl", hash = "sha256:8db10f29c7541fc5da4defd8cd697e1ca429db743fa716325f236079b96f775a"},
+    {file = "multidict-6.6.3.tar.gz", hash = "sha256:798a9eb12dab0a6c2e29c1de6f3468af5cb2da6053a20dfa3344907eed0937cc"},
 ]
 
 [package.dependencies]
@@ -4147,7 +4030,6 @@ description = "A simple utility to separate the implementation of your Python pa
 optional = false
 python-versions = "*"
 groups = ["executable-dependencies"]
-markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
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@@ -4155,32 +4037,28 @@ files = [
 
 [[package]]
 name = "narwhals"
-version = "1.28.0"
+version = "1.47.0"
 description = "Extremely lightweight compatibility layer between dataframe libraries"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["executable-dependencies"]
 files = [
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 ]
 
 [package.extras]
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 cudf = ["cudf (>=24.10.0)"]
 dask = ["dask[dataframe] (>=2024.8)"]
-dev = ["covdefaults", "hypothesis", "mypy (>=1.15.0,<1.16.0)", "pandas-stubs", "pre-commit", "pyright", "pytest", "pytest-cov", "pytest-env", "pytest-randomly", "typing-extensions"]
-docs = ["black", "duckdb", "jinja2", "markdown-exec[ansi]", "mkdocs", "mkdocs-autorefs", "mkdocs-material", "mkdocstrings-python (>=1.16)", "mkdocstrings[python]", "pandas", "polars (>=1.0.0)", "pyarrow"]
 duckdb = ["duckdb (>=1.0)"]
-extra = ["scikit-learn"]
 ibis = ["ibis-framework (>=6.0.0)", "packaging", "pyarrow-hotfix", "rich"]
 modin = ["modin"]
-pandas = ["pandas (>=0.25.3)"]
-polars = ["polars (>=0.20.3)"]
-pyarrow = ["pyarrow (>=11.0.0)"]
+pandas = ["pandas (>=1.1.3)"]
+polars = ["polars (>=0.20.4)"]
+pyarrow = ["pyarrow (>=13.0.0)"]
 pyspark = ["pyspark (>=3.5.0)"]
-tests = ["covdefaults", "hypothesis", "pytest", "pytest-cov", "pytest-env", "pytest-randomly", "typing-extensions"]
-typing = ["mypy (>=1.15.0,<1.16.0)", "pandas-stubs", "pyright", "typing-extensions"]
+pyspark-connect = ["pyspark[connect] (>=3.5.0)"]
+sqlframe = ["sqlframe (>=3.22.0)"]
 
 [[package]]
 name = "natsort"
@@ -4230,27 +4108,6 @@ example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "momepy
 extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"]
 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
-[[package]]
-name = "neural-tangents"
-version = "0.6.2"
-description = "Fast and Easy Infinite Neural Networks in Python"
-optional = false
-python-versions = ">=3.8"
-groups = ["executable-dependencies"]
-files = [
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-
-[package.dependencies]
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-jax = ">=0.4.3"
-tf2jax = ">=0.3.3"
-typing-extensions = ">=4.0.1"
-
-[package.extras]
-testing = ["flax (>=0.5.2)", "more-itertools", "tensorflow-datasets"]
-
 [[package]]
 name = "numba"
 version = "0.61.2"
@@ -4501,16 +4358,16 @@ files = [
 
 [[package]]
 name = "nvidia-nvjitlink-cu12"
-version = "12.8.61"
+version = "12.9.86"
 description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
 groups = ["executable-dependencies"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
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 ]
 
 [[package]]
@@ -4645,7 +4502,6 @@ description = "Optimized PyTree Utilities."
 optional = false
 python-versions = ">=3.9"
 groups = ["executable-dependencies"]
-markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
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@@ -4735,32 +4591,33 @@ torch = ["torch"]
 
 [[package]]
 name = "orbax-checkpoint"
-version = "0.6.4"
+version = "0.11.19"
 description = "Orbax Checkpoint"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["executable-dependencies"]
 files = [
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 ]
 
 [package.dependencies]
 absl-py = "*"
 etils = {version = "*", extras = ["epath", "epy"]}
 humanize = "*"
-jax = ">=0.4.26"
-jaxlib = "*"
+jax = ">=0.5.0"
 msgpack = "*"
 nest_asyncio = "*"
 numpy = "*"
 protobuf = "*"
 pyyaml = "*"
-tensorstore = ">=0.1.60"
+simplejson = ">=3.16.0"
+tensorstore = ">=0.1.71"
 typing_extensions = "*"
 
 [package.extras]
-testing = ["flax", "google-cloud-logging", "mock", "pytest", "pytest-xdist"]
+docs = ["aiofiles", "flax", "google-cloud-logging", "grain", "opencv-python", "tensorflow_datasets"]
+testing = ["aiofiles", "chex", "flax", "google-cloud-logging", "mock", "pytest", "pytest-xdist"]
 
 [[package]]
 name = "orderedmultidict"
@@ -4779,84 +4636,84 @@ six = ">=1.8.0"
 
 [[package]]
 name = "orjson"
-version = "3.10.18"
+version = "3.11.0"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
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 python-versions = ">=3.9"
 groups = ["executable-dependencies"]
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 ]
 
 [package.dependencies]
@@ -5072,13 +4929,13 @@ scipy = ">=1.6.0"
 
 [[package]]
 name = "pennylane"
-version = "0.41.0"
+version = "0.42.0"
 description = "PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network."
 optional = false
-python-versions = "*"
+python-versions = ">=3.10"
 groups = ["base", "executable-dependencies"]
 files = [
-    {file = "PennyLane-0.41.0-py3-none-any.whl", hash = "sha256:0cbd653c36e333e86ea72b67ddecd22c164f7ad6e4cdf6b9033dc5bc2df04cb6"},
+    {file = "pennylane-0.42.0-py3-none-any.whl", hash = "sha256:fd22c511257eba7199ccc7c4839918acea164b53c9f14a168c36a8c4ce87608b"},
 ]
 
 [package.dependencies]
@@ -5090,93 +4947,90 @@ diastatic-malt = "*"
 networkx = "*"
 numpy = "*"
 packaging = "*"
-pennylane-lightning = ">=0.41"
+pennylane-lightning = ">=0.42"
 requests = "*"
 rustworkx = ">=0.14.0"
 scipy = "*"
 tomlkit = "*"
-typing-extensions = "*"
+typing_extensions = "*"
 
 [package.extras]
 kernels = ["cvxopt", "cvxpy"]
 
 [[package]]
 name = "pennylane-catalyst"
-version = "0.11.0"
+version = "0.12.0"
 description = "A JIT compiler for hybrid quantum programs in PennyLane"
 optional = false
 python-versions = ">=3.10"
 groups = ["executable-dependencies"]
 files = [
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-    {file = "pennylane_catalyst-0.11.0-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:748340f6549919b1455be878f6be5eefaed00947c3ddb2509b9f179303cecbcf"},
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+    {file = "pennylane_catalyst-0.12.0-cp310-cp310-macosx_13_0_arm64.whl", hash = "sha256:c875547e52a2f3565f882235808b8f63f2e3f831ab0c25412ac81298667ec40d"},
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+    {file = "pennylane_catalyst-0.12.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:40a43f5adfe1419154778b13b14aad3af90ecc3647dd0e4e6956a3e4cfa3b33e"},
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+    {file = "pennylane_catalyst-0.12.0-cp312-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:2cc0b1282c4051e592e59c5e2939aa52783e0a5ba90c84572c00716f100f99c7"},
+    {file = "pennylane_catalyst-0.12.0-cp312-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:612454d4cbcb1f24080ced7477c6586fa49e5f5eac83288cf22447556de3bf6b"},
 ]
 
 [package.dependencies]
 diastatic-malt = ">=2.15.2"
-jax = "0.4.28"
-jaxlib = "0.4.28"
+jax = "0.6.0"
+jaxlib = "0.6.0"
 numpy = "!=2.0.0"
-pennylane = ">=0.41.0"
-pennylane-lightning = ">=0.41.0"
+pennylane = ">=0.42.0"
+pennylane-lightning = ">=0.42.0"
 scipy-openblas32 = ">=0.3.26"
 
 [[package]]
 name = "pennylane-cirq"
-version = "0.41.0"
+version = "0.42.0"
 description = "PennyLane plugin for Cirq"
 optional = false
 python-versions = "*"
 groups = ["executable-dependencies"]
 files = [
-    {file = "pennylane_cirq-0.41.0-py3-none-any.whl", hash = "sha256:109b5b6f54d8c72ac821a52286577f0ab0fcb861a7bb64aeb4c631bfdc92febd"},
+    {file = "pennylane_cirq-0.42.0-py3-none-any.whl", hash = "sha256:43217a8be125fb57ab9f71840dd09f3c1f5012803b1b231293002149470ae002"},
 ]
 
 [package.dependencies]
 cirq-core = ">=0.10"
 cirq-pasqal = ">=0.10"
-pennylane = ">=0.38.0"
+pennylane = ">=0.42.0"
 
 [[package]]
 name = "pennylane-lightning"
-version = "0.41.1"
+version = "0.42.0"
 description = "PennyLane-Lightning plugin"
 optional = false
 python-versions = ">=3.10"
 groups = ["base", "executable-dependencies"]
 files = [
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+    {file = "pennylane_lightning-0.42.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:7f7bc8f01acbc9f723ca0c73cca89c56f1e5ef25fbe5cacbd5d84e001f3b09a8"},
+    {file = "pennylane_lightning-0.42.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:b207764a2c56cb3cbb01bc3fe5e730cd1ac232d946bb7f47022e6444bfb16ebc"},
+    {file = "pennylane_lightning-0.42.0-cp313-cp313-win_amd64.whl", hash = "sha256:e197cc28be4fd0a16520f3c2bfad69d9d6cd02f9855709ad787fd420596f0ed1"},
+    {file = "pennylane_lightning-0.42.0-py3-none-any.whl", hash = "sha256:13e60b74c495023d8bc7a49debab521e6358f947c6be9dbd2b71e24ea232e061"},
+    {file = "pennylane_lightning-0.42.0.tar.gz", hash = "sha256:37b877285e76c0b524df88c62679f4c182454d32a3dc1fac2fea7244ae21bb62"},
 ]
 
 [package.dependencies]
@@ -5190,22 +5044,21 @@ tensor = ["pennylane-lightning-tensor"]
 
 [[package]]
 name = "pennylane-qiskit"
-version = "0.41.0"
+version = "0.42.0"
 description = "PennyLane plugin for Qiskit"
 optional = false
 python-versions = "*"
 groups = ["executable-dependencies"]
 files = [
-    {file = "pennylane_qiskit-0.41.0-py3-none-any.whl", hash = "sha256:e8e487860146e227a9c0a7d50a407098776999cc650f64a9a644445849c5c15d"},
+    {file = "pennylane_qiskit-0.42.0-py3-none-any.whl", hash = "sha256:190ae938e5fa7fbe3f7d155c9067d26b99832f33ecb3fdec0865b171a9fe1ac5"},
 ]
 
 [package.dependencies]
 networkx = ">=2.2"
 numpy = "*"
-pennylane = ">=0.38"
+pennylane = ">=0.42"
 qiskit = ">=0.32,<1.3"
 qiskit-aer = "<0.16.1"
-qiskit-ibm-provider = "*"
 qiskit-ibm-runtime = "<=0.29"
 sympy = "<1.13"
 
@@ -5234,18 +5087,18 @@ pyqrack = ">=1.30.0"
 
 [[package]]
 name = "pennylane-qulacs"
-version = "0.41.0"
+version = "0.42.0"
 description = "PennyLane plugin for Qulacs."
 optional = false
 python-versions = "*"
 groups = ["executable-dependencies"]
 files = [
-    {file = "pennylane_qulacs-0.41.0-py3-none-any.whl", hash = "sha256:4d0b1ea6438dcbe6907b029a93bdaeeb2a66267f5fe54ed2e0bb7e32eb04fac1"},
+    {file = "pennylane_qulacs-0.42.0-py3-none-any.whl", hash = "sha256:77437d76c389a21aa7f2c7ecac738a6f5c42aed0006ef62e2694763c7a748af6"},
 ]
 
 [package.dependencies]
 numpy = "*"
-pennylane = ">=0.38"
+pennylane = ">=0.42"
 scipy = "*"
 
 [package.extras]
@@ -5293,101 +5146,126 @@ ptyprocess = ">=0.5"
 
 [[package]]
 name = "pillow"
-version = "11.2.1"
+version = "11.3.0"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.9"
 groups = ["base", "executable-dependencies"]
 files = [
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-    {file = "pillow-11.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:127bf6ac4a5b58b3d32fc8289656f77f80567d65660bc46f72c0d77e6600cc95"},
-    {file = "pillow-11.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b4ba4be812c7a40280629e55ae0b14a0aafa150dd6451297562e1764808bbe61"},
-    {file = "pillow-11.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c8bd62331e5032bc396a93609982a9ab6b411c05078a52f5fe3cc59234a3abd1"},
-    {file = "pillow-11.2.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:562d11134c97a62fe3af29581f083033179f7ff435f78392565a1ad2d1c2c45c"},
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@@ -5437,14 +5315,14 @@ type = ["mypy (>=1.14.1)"]
 
 [[package]]
 name = "plotly"
-version = "6.1.2"
+version = "6.2.0"
 description = "An open-source interactive data visualization library for Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["executable-dependencies"]
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 ]
 
 [package.dependencies]
@@ -5452,9 +5330,12 @@ narwhals = ">=1.15.1"
 packaging = "*"
 
 [package.extras]
-dev = ["black (==25.1.0)"]
+dev = ["plotly[dev-optional]"]
+dev-build = ["build", "jupyter", "plotly[dev-core]"]
+dev-core = ["pytest", "requests", "ruff (==0.11.12)"]
+dev-optional = ["anywidget", "colorcet", "fiona (<=1.9.6) ; python_version <= \"3.8\"", "geopandas", "inflect", "numpy", "orjson", "pandas", "pdfrw", "pillow", "plotly-geo", "plotly[dev-build]", "plotly[kaleido]", "polars[timezone]", "pyarrow", "pyshp", "pytz", "scikit-image", "scipy", "shapely", "statsmodels", "vaex ; python_version <= \"3.9\"", "xarray"]
 express = ["numpy"]
-kaleido = ["kaleido (==1.0.0rc13)"]
+kaleido = ["kaleido (>=1.0.0)"]
 
 [[package]]
 name = "plucky"
@@ -5578,131 +5459,131 @@ wcwidth = "*"
 
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 [[package]]
@@ -5786,14 +5667,14 @@ markers = {main = "sys_platform == \"linux\" and platform_python_implementation
 
 [[package]]
 name = "pydantic"
-version = "2.11.5"
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 python-versions = ">=3.9"
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@@ -5920,14 +5801,14 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pygments"
-version = "2.19.1"
+version = "2.19.2"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "base", "executable-dependencies"]
 files = [
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 [package.extras]
@@ -6145,14 +6026,14 @@ yaml = ["ruamel.yaml"]
 
 [[package]]
 name = "pytest"
-version = "8.4.0"
+version = "8.4.1"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["executable-dependencies"]
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 [package.dependencies]
@@ -6184,14 +6065,14 @@ six = ">=1.5"
 
 [[package]]
 name = "python-dotenv"
-version = "1.1.0"
+version = "1.1.1"
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 python-versions = ">=3.9"
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 [package.extras]
@@ -6199,14 +6080,14 @@ cli = ["click (>=5.0)"]
 
 [[package]]
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+version = "4.12.2"
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 python-versions = ">=3.6"
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 [package.dependencies]
@@ -6439,32 +6320,6 @@ psutil = ">=5"
 qiskit = ">=1.1.0"
 scipy = ">=1.0"
 
-[[package]]
-name = "qiskit-ibm-provider"
-version = "0.11.0"
-description = "Qiskit IBM Quantum Provider for accessing the quantum devices and simulators at IBM"
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-
 [[package]]
 name = "qiskit-ibm-runtime"
 version = "0.29.0"
@@ -6488,37 +6343,6 @@ requests-ntlm = ">=1.1.0"
 urllib3 = ">=1.21.1"
 websocket-client = ">=1.5.1"
 
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-version = "0.6.3"
-description = "Qrisp - A high level language for gate-based quantum computing"
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-qiskit = ">=0.44.0"
-requests = "*"
-scipy = ">=1.10.0"
-tdqm = "*"
-waitress = "*"
-
-[package.extras]
-iqm = ["qiskit-iqm"]
-
 [[package]]
 name = "quimb"
 version = "1.11.0"
@@ -6739,19 +6563,19 @@ all = ["numpy"]
 
 [[package]]
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 [package.dependencies]
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-charset-normalizer = ">=2,<4"
+charset_normalizer = ">=2,<4"
 idna = ">=2.5,<4"
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 urllib3 = ">=1.21.1,<3"
@@ -7105,21 +6929,23 @@ test = ["Cython", "array-api-strict (>=2.0)", "asv", "gmpy2", "hypothesis (>=6.3
 
 [[package]]
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+and-cuda = ["nvidia-cublas-cu12 (==12.5.3.2)", "nvidia-cuda-cupti-cu12 (==12.5.82)", "nvidia-cuda-nvcc-cu12 (==12.5.82)", "nvidia-cuda-nvrtc-cu12 (==12.5.82)", "nvidia-cuda-runtime-cu12 (==12.5.82)", "nvidia-cudnn-cu12 (==9.3.0.75)", "nvidia-cufft-cu12 (==11.2.3.61)", "nvidia-curand-cu12 (==10.3.6.82)", "nvidia-cusolver-cu12 (==11.6.3.83)", "nvidia-cusparse-cu12 (==12.5.1.3)", "nvidia-nccl-cu12 (==2.23.4)", "nvidia-nvjitlink-cu12 (==12.5.82)"]
 
 [[package]]
 name = "tensorflow-io-gcs-filesystem"
@@ -8130,7 +7894,6 @@ description = "TensorFlow IO"
 optional = false
 python-versions = "<3.13,>=3.7"
 groups = ["executable-dependencies"]
-markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\" or platform_system == \"Darwin\" or platform_system == \"Windows\""
 files = [
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@@ -8157,61 +7920,39 @@ tensorflow-cpu = ["tensorflow-cpu (>=2.16.0,<2.17.0)"]
 tensorflow-gpu = ["tensorflow-gpu (>=2.16.0,<2.17.0)"]
 tensorflow-rocm = ["tensorflow-rocm (>=2.16.0,<2.17.0)"]
 
-[[package]]
-name = "tensorflow-macos"
-version = "2.16.2"
-description = "TensorFlow is an open source machine learning framework for everyone."
-optional = false
-python-versions = ">=3.9"
-groups = ["executable-dependencies"]
-markers = "sys_platform == \"darwin\" and platform_machine == \"arm64\""
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-[package.dependencies]
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-tensorflow-intel = {version = "2.16.2", markers = "platform_system == \"Windows\""}
-
-[package.extras]
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-
 [[package]]
 name = "tensorstore"
-version = "0.1.74"
+version = "0.1.76"
 description = "Read and write large, multi-dimensional arrays"
 optional = false
 python-versions = ">=3.10"
 groups = ["executable-dependencies"]
 files = [
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-
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-ml_dtypes = ">=0.3.1"
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+    {file = "tensorstore-0.1.76-cp313-cp313-win_amd64.whl", hash = "sha256:e84fc11b36fcd55cfd1c5dfc60de9d54d7d95c3de074f4d854914067e82a6740"},
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+]
+
+[package.dependencies]
+ml_dtypes = ">=0.5.0"
 numpy = ">=1.22.0"
 
 [[package]]
@@ -8229,27 +7970,6 @@ files = [
 [package.extras]
 tests = ["pytest", "pytest-cov"]
 
-[[package]]
-name = "tf2jax"
-version = "0.3.6"
-description = "TF2JAX: Convert TensorFlow to JAX"
-optional = false
-python-versions = ">=3.7"
-groups = ["executable-dependencies"]
-files = [
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-]
-
-[package.dependencies]
-absl-py = "*"
-dm-tree = ">=0.1.5"
-jax = ">=0.3.14"
-jaxlib = ">=0.1.37"
-numpy = ">=1.23.0"
-tensorflow = {version = ">=2.8.0", markers = "sys_platform != \"darwin\" or platform_machine != \"arm64\""}
-tensorflow-macos = {version = ">=2.8.0", markers = "sys_platform == \"darwin\" and platform_machine == \"arm64\""}
-
 [[package]]
 name = "thewalrus"
 version = "0.21.0"
@@ -8585,6 +8305,27 @@ files = [
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
 test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
 
+[[package]]
+name = "treescope"
+version = "0.1.9"
+description = "Treescope: An interactive HTML pretty-printer for ML research in IPython notebooks."
+optional = false
+python-versions = ">=3.10"
+groups = ["executable-dependencies"]
+files = [
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+    {file = "treescope-0.1.9.tar.gz", hash = "sha256:ba6cdbdc9c5b52691d5f3bb4c5d5c7daa5627119acac8640b46d37e6aabe63a6"},
+]
+
+[package.dependencies]
+numpy = ">=1.25.2"
+
+[package.extras]
+dev = ["ipython", "jupyter", "pyink (>=24.3.0)", "pylint (>=2.6.0)", "pytest (>=8.2.2)", "pytype"]
+docs = ["ipython", "ipython (>=8.8.0)", "jax[cpu] (>=0.4.23)", "matplotlib (>=3.5.0)", "myst-nb (>=1.0.0)", "myst-parser (>=3.0.1)", "packaging (==24.1)", "palettable (==3.3.3)", "pandas (==2.2.2)", "penzai (>=0.2.4,<0.3.0)", "plotly (==5.22.0)", "sphinx (>=6.0.0,<7.3.0)", "sphinx-book-theme (>=1.0.1)", "sphinx-hoverxref", "sphinx_contributors", "sphinxcontrib-katex", "torch (==2.3.1)"]
+notebook = ["ipython", "jax (>=0.4.23)", "palettable"]
+test = ["absl-py (>=1.4.0)", "jax (>=0.4.23)", "omegaconf (>=2.0.0)", "pydantic (>=2.0.0)", "pytest (>=8.2.2)", "torch (>=2.0.0)"]
+
 [[package]]
 name = "triton"
 version = "2.1.0"
@@ -8626,32 +8367,32 @@ files = [
 
 [[package]]
 name = "typer"
-version = "0.15.3"
+version = "0.15.4"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
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-    {file = "typer-0.15.3.tar.gz", hash = "sha256:818873625d0569653438316567861899f7e9972f2e6e0c16dab608345ced713c"},
+    {file = "typer-0.15.4-py3-none-any.whl", hash = "sha256:eb0651654dcdea706780c466cf06d8f174405a659ffff8f163cfbfee98c0e173"},
+    {file = "typer-0.15.4.tar.gz", hash = "sha256:89507b104f9b6a0730354f27c39fae5b63ccd0c95b1ce1f1a6ba0cfd329997c3"},
 ]
 
 [package.dependencies]
-click = ">=8.0.0"
+click = ">=8.0.0,<8.2"
 rich = ">=10.11.0"
 shellingham = ">=1.3.0"
 typing-extensions = ">=3.7.4.3"
 
 [[package]]
 name = "types-python-dateutil"
-version = "2.9.0.20250516"
+version = "2.9.0.20250708"
 description = "Typing stubs for python-dateutil"
 optional = false
 python-versions = ">=3.9"
 groups = ["metadata-validation"]
 files = [
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 ]
 
 [[package]]
@@ -8668,14 +8409,14 @@ files = [
 
 [[package]]
 name = "typing-extensions"
-version = "4.14.0"
+version = "4.14.1"
 description = "Backported and Experimental Type Hints for Python 3.9+"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "base", "executable-dependencies"]
 files = [
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+    {file = "typing_extensions-4.14.1-py3-none-any.whl", hash = "sha256:d1e1e3b58374dc93031d6eda2420a48ea44a36c2b4766a4fdeb3710755731d76"},
+    {file = "typing_extensions-4.14.1.tar.gz", hash = "sha256:38b39f4aeeab64884ce9f74c94263ef78f3c22467c8724005483154c26648d36"},
 ]
 
 [[package]]
@@ -8722,14 +8463,14 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake
 
 [[package]]
 name = "urllib3"
-version = "2.4.0"
+version = "2.5.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "base", "executable-dependencies", "metadata-validation"]
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 [package.dependencies]
@@ -9373,116 +9133,116 @@ test = ["pytest"]
 
 [[package]]
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 [package.dependencies]
@@ -9504,14 +9264,14 @@ files = [
 
 [[package]]
 name = "zipp"
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 [package.extras]
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 cover = ["pytest-cov"]
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 type = ["pytest-mypy"]
 
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 ]
 
 [metadata]
 lock-version = "2.1"
 python-versions = "~3.10.0"
-content-hash = "599a988968d00ba3581c47c00d9c988cac054653962a4d998291c0d0f0ad53b4"
+content-hash = "e9cb6ad9fce67ff91417b59eec394286db40699b87c3e89e1995667a3b8e98fc"
diff --git a/pyproject.toml b/pyproject.toml
index 046f467fed..5718131a70 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -51,7 +51,7 @@ markupsafe = "2.1.1"
 pyyaml = "^6.0.1"
 pennylane-sphinx-theme = { git = "https://github.com/PennyLaneAI/pennylane-sphinx-theme.git", branch = "sphinx-update" }
 pypandoc = "1.5"
-pennylane = "0.41.0"
+pennylane = "0.42.0"
 uv = "^0.5.25"
 
 
@@ -61,19 +61,19 @@ uv = "^0.5.25"
 # These pinned versions of PL are NOT used for Dev builds #
 #      The latest commit from GitHub is used instead      #
 ###########################################################
-pennylane = "0.41.0"
-pennylane-cirq = "0.41.0"
-pennylane-qiskit = "0.41.0"
-pennylane-qulacs = "0.41.0"
-pennylane-catalyst = "0.11.0"
+pennylane = "0.42.0"
+pennylane-cirq = "0.42.0"
+pennylane-qiskit = "0.42.0"
+pennylane-qulacs = "0.42.0"
+pennylane-catalyst = "0.12.0"
 ##########################################################
 
 scipy = ">=1.12"
 numpy = "~1.26.4"
 numpyro = "~0.17.0"
 matplotlib = "3.7.2"
-jax = "0.4.28"
-jaxlib = "0.4.28"
+jax = "0.6.0"
+jaxlib = "0.6.0"
 jaxopt = "0.8.5"
 seaborn = "0.13.2"
 kahypar = "1.1.7"
@@ -82,12 +82,11 @@ covalent = "0.227.0rc0"
 openqaoa-core = "0.2.5"
 dwave-ocean-sdk = "7.0.0"
 pyzx = "0.7.0"
-neural-tangents = "0.6.2"
 plotly = ">=4.5.0"
 pydantic = "^2.8.2"
 ply = "3.11"
 optax = "0.2.4"
-flax = "0.9.0"
+flax = "0.10.6"
 qutip = "5.1.0"
 mitiq = "0.43.0"
 pennylane-qrack = "0.11.1"
@@ -105,9 +104,8 @@ qiskit = ">=1.0.0"
 qiskit-aer = ">=0.14.0,<0.16.0"
 sphinxcontrib-applehelp = "1.0.8"
 sphinx-gallery = "0.17.1"
-qrisp = ">=0.6.1"
 iqpopt = { git = "https://github.com/XanaduAI/iqpopt.git" }
-
+tensorflow = "2.19"
 
 # Install a difference version of torch from PyPI as the one from PyTorch repo is not compatible with MacOS
 torch = [
@@ -121,13 +119,9 @@ torchvision = [
 
 # The following packages are platform locked to not install on MacOS as the installation breaks
 scikit-learn = { version = "1.3.0", markers = "platform_machine == 'x86_64'" }
-tensorflow = { version = "2.16.2", markers = "platform_machine == 'x86_64'" }
 flamingpy = { version = ">=0.10.1b1", markers = "platform_machine == 'x86_64'" }
 qulacs = { version = "0.6.1", markers = "platform_machine == 'x86_64'" }
 
-# The following packages are only installed on MacOS for compatibility
-tensorflow-macos = { version = "2.16.2", markers = "sys_platform == 'darwin' and platform_machine == 'arm64'" }
-
 [tool.poetry.group.metadata-validation]
 optional = true
 

From f02f55d39eebd462f27bbb3e865e528f28132589 Mon Sep 17 00:00:00 2001
From: Alan Martin <53958929+Alan-eMartin@users.noreply.github.com>
Date: Wed, 16 Jul 2025 10:08:21 -0400
Subject: [PATCH 16/22] Sync v2 from dev (#1443)

**Title:**
Fix v2 builds

**Summary:**
This PR syncs changes from `demonstrations` with `demonstrations_v2` and
adds `pennylane_qisket` as a individual dependency in
`tutorial_error_mitigation`
---
 .../adjoint_diff_benchmarking/demo.py         | 34 ++++++++--------
 .../adjoint_diff_benchmarking/metadata.json   |  2 +-
 demonstrations_v2/ahs_aquila/demo.py          | 12 +++++-
 demonstrations_v2/ahs_aquila/metadata.json    |  2 +-
 .../getting_started_with_hybrid_jobs/demo.py  | 35 ++++++++++++++---
 .../metadata.json                             |  2 +-
 .../how_to_catalyst_lightning_gpu/demo.py     |  6 +--
 .../metadata.json                             |  2 +-
 .../how_to_use_qiskit1_with_pennylane/demo.py |  4 +-
 .../metadata.json                             |  2 +-
 .../demo.py                                   |  3 +-
 .../metadata.json                             |  2 +-
 .../ml_classical_shadows/demo.py              | 11 ++++--
 .../ml_classical_shadows/metadata.json        |  2 +-
 demonstrations_v2/qnn_module_tf/demo.py       |  2 +
 demonstrations_v2/qnn_module_tf/metadata.json |  2 +-
 demonstrations_v2/qnspsa/demo.py              | 16 ++++----
 demonstrations_v2/qnspsa/metadata.json        |  2 +-
 demonstrations_v2/quantum_volume/demo.py      | 37 +++++++++---------
 .../quantum_volume/metadata.json              |  2 +-
 .../metadata.json                             |  2 +-
 .../tutorial_adjoint_diff/demo.py             | 39 +++++++++----------
 .../tutorial_adjoint_diff/metadata.json       |  2 +-
 .../tutorial_error_mitigation/requirements.in |  1 +
 demonstrations_v2/tutorial_odegen/demo.py     |  7 ++--
 .../tutorial_odegen/metadata.json             |  2 +-
 26 files changed, 135 insertions(+), 98 deletions(-)

diff --git a/demonstrations_v2/adjoint_diff_benchmarking/demo.py b/demonstrations_v2/adjoint_diff_benchmarking/demo.py
index c907290962..4ae968d47c 100644
--- a/demonstrations_v2/adjoint_diff_benchmarking/demo.py
+++ b/demonstrations_v2/adjoint_diff_benchmarking/demo.py
@@ -22,10 +22,7 @@
 import timeit
 import matplotlib.pyplot as plt
 import pennylane as qml
-import jax
-
-jax.config.update("jax_platform_name", "cpu")
-jax.config.update('jax_enable_x64', True)
+import pennylane.numpy as pnp
 
 plt.style.use("bmh")
 
@@ -33,12 +30,12 @@
 
 
 def get_time(qnode, params):
-    globals_dict = {'grad': jax.grad, 'circuit': qnode, 'params': params}
+    globals_dict = {"grad": qml.grad, "circuit": qnode, "params": params}
     return timeit.timeit("grad(circuit)(params)", globals=globals_dict, number=n_samples)
 
 
 def wires_scaling(n_wires, n_layers):
-    key = jax.random.PRNGKey(42)
+    rng = pnp.random.default_rng(12345)
 
     t_adjoint = []
     t_ps = []
@@ -58,7 +55,7 @@ def circuit(params, wires):
 
         # set up the parameters
         param_shape = qml.StronglyEntanglingLayers.shape(n_wires=i_wires, n_layers=n_layers)
-        params = jax.random.normal(key, param_shape)
+        params = rng.normal(size=pnp.prod(param_shape), requires_grad=True).reshape(param_shape)
 
         t_adjoint.append(get_time(circuit_adjoint, params))
         t_backprop.append(get_time(circuit_backprop, params))
@@ -68,10 +65,10 @@ def circuit(params, wires):
 
 
 def layers_scaling(n_wires, n_layers):
-    key = jax.random.PRNGKey(42)
+    rng = pnp.random.default_rng(12345)
 
     dev = qml.device("lightning.qubit", wires=n_wires)
-    dev_python = qml.device('default.qubit', wires=n_wires)
+    dev_python = qml.device("default.qubit", wires=n_wires)
 
     t_adjoint = []
     t_ps = []
@@ -88,7 +85,7 @@ def circuit(params):
     for i_layers in n_layers:
         # set up the parameters
         param_shape = qml.StronglyEntanglingLayers.shape(n_wires=n_wires, n_layers=i_layers)
-        params = jax.random.normal(key, param_shape)
+        params = rng.normal(size=pnp.prod(param_shape), requires_grad=True).reshape(param_shape)
 
         t_adjoint.append(get_time(circuit_adjoint, params))
         t_backprop.append(get_time(circuit_backprop, params))
@@ -110,9 +107,9 @@ def circuit(params):
     # Generating the graphic
     fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4))
 
-    ax1.plot(wires_list, adjoint_wires, '.-', label="adjoint")
-    ax1.plot(wires_list, ps_wires, '.-', label="parameter-shift")
-    ax1.plot(wires_list, backprop_wires, '.-', label="backprop")
+    ax1.plot(wires_list, adjoint_wires, ".-", label="adjoint")
+    ax1.plot(wires_list, ps_wires, ".-", label="parameter-shift")
+    ax1.plot(wires_list, backprop_wires, ".-", label="backprop")
 
     ax1.legend()
 
@@ -122,16 +119,17 @@ def circuit(params):
     ax1.set_yscale("log")
     ax1.set_title("Scaling with wires")
 
-    ax2.plot(layers_list, adjoint_layers, '.-', label="adjoint")
-    ax2.plot(layers_list, ps_layers, '.-', label="parameter-shift")
-    ax2.plot(layers_list, backprop_layers, '.-', label="backprop")
+    ax2.plot(layers_list, adjoint_layers, ".-", label="adjoint")
+    ax2.plot(layers_list, ps_layers, ".-", label="parameter-shift")
+    ax2.plot(layers_list, backprop_layers, ".-", label="backprop")
 
     ax2.legend()
 
     ax2.set_xlabel("Number of layers")
     ax2.set_xticks(layers_list)
-    ax2.set_ylabel("Time")
-    ax2.set_title("Scaling with Layers")
+    ax2.set_ylabel("Log Time")
+    ax2.set_yscale("log")
+    ax2.set_title("Scaling with layers")
 
     plt.savefig("scaling.png")
 
diff --git a/demonstrations_v2/adjoint_diff_benchmarking/metadata.json b/demonstrations_v2/adjoint_diff_benchmarking/metadata.json
index 2c5c4f4bf3..f27bb77c34 100644
--- a/demonstrations_v2/adjoint_diff_benchmarking/metadata.json
+++ b/demonstrations_v2/adjoint_diff_benchmarking/metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2021-11-23T00:00:00+00:00",
-    "dateOfLastModification": "2024-10-07T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-11T00:00:00+00:00",
     "categories": [
         "Getting Started"
     ],
diff --git a/demonstrations_v2/ahs_aquila/demo.py b/demonstrations_v2/ahs_aquila/demo.py
index c579b2f385..722347ad61 100644
--- a/demonstrations_v2/ahs_aquila/demo.py
+++ b/demonstrations_v2/ahs_aquila/demo.py
@@ -132,7 +132,7 @@
 
 The modification of the energy levels when atoms are in proximity gives rise to Rydberg blockade,
 where atoms that have been driven by a pulse that would, in isolation, leave them in the excited state
-instead remain in the ground state due to neighboring atoms being excited. The distance within which two 
+instead remain in the ground state due to neighboring atoms being excited. The distance within which two
 neighboring atoms are effectively prevented from both being excited is referred to as the *blockade radius* :math:`R_b.`
 
 This brings us to our discussion of the second part of the Hamiltonian: the drive term.
@@ -220,6 +220,16 @@
     device_arn="arn:aws:braket:us-east-1::device/qpu/quera/Aquila",
     wires=3,
 )
+##############################################################################
+# .. rst-class:: sphx-glr-script-out
+#
+#
+#  .. code-block:: none
+#
+#      pennylane/pennylane/__init__.py:201: PennyLaneDeprecationWarning: pennylane.QuantumFunctionError is no longer accessible at top-level
+#      and must be imported as pennylane.exceptions.QuantumFunctionError. Support for top-level access will be removed in v0.43.
+#        warnings.warn(
+#
 
 rydberg_simulator = qml.device("braket.local.ahs", wires=3)
 
diff --git a/demonstrations_v2/ahs_aquila/metadata.json b/demonstrations_v2/ahs_aquila/metadata.json
index fc530f8d99..9c4d2538d2 100644
--- a/demonstrations_v2/ahs_aquila/metadata.json
+++ b/demonstrations_v2/ahs_aquila/metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2023-05-16T00:00:00+00:00",
-    "dateOfLastModification": "2024-10-07T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-11T00:00:00+00:00",
     "categories": ["Quantum Hardware", "Devices and Performance", "Quantum Computing"],
     "tags": [],
     "previewImages": [
diff --git a/demonstrations_v2/getting_started_with_hybrid_jobs/demo.py b/demonstrations_v2/getting_started_with_hybrid_jobs/demo.py
index 1d97626328..a5d5f159e9 100644
--- a/demonstrations_v2/getting_started_with_hybrid_jobs/demo.py
+++ b/demonstrations_v2/getting_started_with_hybrid_jobs/demo.py
@@ -10,7 +10,7 @@
 
 In this tutorial, we'll walk through how to create your first hybrid quantum-classical algorithms on AWS.
 With a single-line-of-code, we'll see how to scale from PennyLane simulators on your laptop to running full-scale experiments on AWS that leverage both powerful classical compute and quantum devices.
-You'll gain understanding of the hybrid jobs queue, including QPU priority queuing, and learn how to scale classical resources for resource-intensive tasks. 
+You'll gain understanding of the hybrid jobs queue, including QPU priority queuing, and learn how to scale classical resources for resource-intensive tasks.
 We hope these tools will empower you to start experimenting today with hybrid quantum algorithms!
 
 .. figure:: /_static/demonstration_assets/getting_started_with_hybrid_jobs/socialthumbnail_large_getting_started_with_hybrid_jobs.png
@@ -40,8 +40,8 @@
 time, enabling you to keep track of costs, budget, or custom metrics such as training loss or
 expectation values.
 
-Importantly, on specific QPUs, running your algorithm in Hybrid Jobs benefits from `parametric compilation <https://docs.aws.amazon.com/braket/latest/developerguide/braket-jobs-parametric-compilation.html>`__. 
-This reduces the overhead associated with the computationally expensive compilation step by compiling a circuit only once and not for every iteration in your hybrid algorithm. 
+Importantly, on specific QPUs, running your algorithm in Hybrid Jobs benefits from `parametric compilation <https://docs.aws.amazon.com/braket/latest/developerguide/braket-jobs-parametric-compilation.html>`__.
+This reduces the overhead associated with the computationally expensive compilation step by compiling a circuit only once and not for every iteration in your hybrid algorithm.
 This dramatically reduces the total runtime for many variational algorithms.
 For long-running hybrid jobs, Braket automatically uses the updated calibration data from the hardware provider when compiling your circuit to ensure the highest quality results.
 
@@ -67,6 +67,15 @@
 
 device = qml.device("braket.local.qubit", wires=1)
 
+##############################################################################
+# .. rst-class:: sphx-glr-script-out
+#
+#  .. code-block:: none
+#
+#       pennylane/__init__.py:200: PennyLaneDeprecationWarning: pennylane.QuantumFunctionError is no longer accessible at top-level
+#       and must be imported as pennylane.exceptions.QuantumFunctionError. Support for top-level access will be removed in v0.43.
+#         warnings.warn(
+
 ######################################################################
 # Now we define a circuit with two rotation gates and measure the expectation value in the
 # :math:`Z`-basis.
@@ -246,6 +255,22 @@ def circuit(params):
 # Additionally, we can plot the metrics recorded during the algorithm. Below we show the expectation
 # value decreases with each iteration as expected.
 #
+# .. note::
+#
+#     ``job.metrics()`` will be an empty dictionary while the job is running, and likely also for
+#     a few minutes afterwards. To make sure that the below plot generates correctly, it is recommended
+#     to block execution until the metrics are correctly reported. This can be done by:
+#
+#     * using a ``while`` loop to manually block execution until the metrics are available.
+#     * using a Python debugger and setting a breakpoint before the line that uses ``job.metrics()``
+#       and blocking as needed.
+#
+#     We will use a ``while`` loop as shown below.
+#
+
+while len(job.metrics()) == 0:
+    pass
+
 
 import pandas as pd
 import matplotlib.pyplot as plt
@@ -304,8 +329,8 @@ def circuit(params):
 # .. note::
 #   AWS devices must be declared within the body of the decorated function.
 #
-# .. warning:: 
-#   The Rigetti device used in this demo, AspenM3, has been retired. For an updated list of available hardware through 
+# .. warning::
+#   The Rigetti device used in this demo, AspenM3, has been retired. For an updated list of available hardware through
 #   Amazon Braket, please consult the `supported regions and devices documentation <https://docs.aws.amazon.com/braket/latest/developerguide/braket-devices.html>`__. The general steps outlined below still hold regardless of the choice of device, though.
 #
 
diff --git a/demonstrations_v2/getting_started_with_hybrid_jobs/metadata.json b/demonstrations_v2/getting_started_with_hybrid_jobs/metadata.json
index b7b67ddfe9..b64b638561 100644
--- a/demonstrations_v2/getting_started_with_hybrid_jobs/metadata.json
+++ b/demonstrations_v2/getting_started_with_hybrid_jobs/metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2023-10-16T00:00:00+00:00",
-    "dateOfLastModification": "2025-01-14T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-11T00:00:00+00:00",
     "categories": [
         "Devices and Performance"
     ],
diff --git a/demonstrations_v2/how_to_catalyst_lightning_gpu/demo.py b/demonstrations_v2/how_to_catalyst_lightning_gpu/demo.py
index e4f1b4cf62..c161749bed 100644
--- a/demonstrations_v2/how_to_catalyst_lightning_gpu/demo.py
+++ b/demonstrations_v2/how_to_catalyst_lightning_gpu/demo.py
@@ -107,7 +107,7 @@
 #
 #  .. code-block:: none
 #
-#    1.7712995142661776
+#    1.2454125296886156
 #
 # Lightning-GPU has feature parity with `the rest of Lightning state-vector simulators <https://docs.pennylane.ai/projects/lightning/en/stable>`__,
 # providing native support for many PennyLane's operations and measurement processes with
@@ -141,7 +141,7 @@
 #
 #  .. code-block:: none
 #
-#    [ 8.8817842e-16 ... -6.2915415e-01  0.0000000e+00]
+#    [ -1.1102230e-16 ... -7.2645772e-01  0.0000000e+00]
 #
 #
 # Note that in the above example, we didn't use ``method="adjoint"``.
@@ -194,7 +194,7 @@
 #    Step = 7
 #    Step = 8
 #    Step = 9
-#    [1.24479175e-01 ... 9.45755959e-01 4.64060426e-01]
+#    [0.947667 ... 3.093198 0.8401809 ]
 #
 #
 # We used `Optax <https://github.com/google-deepmind/optax>`__,
diff --git a/demonstrations_v2/how_to_catalyst_lightning_gpu/metadata.json b/demonstrations_v2/how_to_catalyst_lightning_gpu/metadata.json
index 7980d6161d..91a02843a2 100644
--- a/demonstrations_v2/how_to_catalyst_lightning_gpu/metadata.json
+++ b/demonstrations_v2/how_to_catalyst_lightning_gpu/metadata.json
@@ -9,7 +9,7 @@
         }
     ],
     "dateOfPublication": "2025-02-21T10:00:00+00:00",
-    "dateOfLastModification": "2025-02-21T10:00:00+00:00",
+    "dateOfLastModification": "2025-07-11T10:00:00+00:00",
     "categories": [
         "Getting Started",
         "Quantum Chemistry",
diff --git a/demonstrations_v2/how_to_use_qiskit1_with_pennylane/demo.py b/demonstrations_v2/how_to_use_qiskit1_with_pennylane/demo.py
index 8bc5ab1805..5907cf5e6a 100644
--- a/demonstrations_v2/how_to_use_qiskit1_with_pennylane/demo.py
+++ b/demonstrations_v2/how_to_use_qiskit1_with_pennylane/demo.py
@@ -113,7 +113,7 @@ def circuit():
 #
 #   .. code-block:: none
 #
-#     {'0': tensor(474, requires_grad=True), '1': tensor(550, requires_grad=True)}
+#     {'0': 474, '1': 550}
 #
 
 ######################################################################
@@ -403,7 +403,7 @@ def cost(phis, theta):
 #   .. code-block:: none
 #
 #     Optimized parameters: phis = [3.12829384 3.12823583], theta = [3.1310224]
-#     Optimized cost function val: -2.999796472821245
+#     Optimized cost function value: -2.999796472821245
 #
 
 ######################################################################
diff --git a/demonstrations_v2/how_to_use_qiskit1_with_pennylane/metadata.json b/demonstrations_v2/how_to_use_qiskit1_with_pennylane/metadata.json
index c5a0361540..bdd35ebf63 100644
--- a/demonstrations_v2/how_to_use_qiskit1_with_pennylane/metadata.json
+++ b/demonstrations_v2/how_to_use_qiskit1_with_pennylane/metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2024-07-02T00:00:00+00:00",
-    "dateOfLastModification": "2025-01-08T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-10T00:00:00+00:00",
     "categories": [
         "Quantum Computing",
         "How-to"
diff --git a/demonstrations_v2/linear_equations_hhl_qrisp_catalyst/demo.py b/demonstrations_v2/linear_equations_hhl_qrisp_catalyst/demo.py
index 61630f8759..82edbe7706 100644
--- a/demonstrations_v2/linear_equations_hhl_qrisp_catalyst/demo.py
+++ b/demonstrations_v2/linear_equations_hhl_qrisp_catalyst/demo.py
@@ -40,7 +40,8 @@
 components easily. We'll demonstrate this later in this demo.
 
 You can install Qrisp to experiment with this implementation yourself, at your own pace, by calling
-``pip install qrisp``.
+``pip install qrisp``. Please note that `qrisp` is only compatible with PennyLane versions
+<= 0.41.1 and Catalyst versions <= 0.11.0.
 
 QuantumVariable
 ~~~~~~~~~~~~~~~
diff --git a/demonstrations_v2/linear_equations_hhl_qrisp_catalyst/metadata.json b/demonstrations_v2/linear_equations_hhl_qrisp_catalyst/metadata.json
index 2e746833cc..e63e2a2c8d 100644
--- a/demonstrations_v2/linear_equations_hhl_qrisp_catalyst/metadata.json
+++ b/demonstrations_v2/linear_equations_hhl_qrisp_catalyst/metadata.json
@@ -12,7 +12,7 @@
         }
     ],
     "dateOfPublication": "2025-02-26T09:00:00+00:00",
-    "dateOfLastModification": "2025-02-26T09:00:00+00:00",
+    "dateOfLastModification": "2025-07-15T09:00:00+00:00",
     "categories": [
         "Algorithms",
         "Quantum Computing"
diff --git a/demonstrations_v2/ml_classical_shadows/demo.py b/demonstrations_v2/ml_classical_shadows/demo.py
index 66bca15783..6569a61f48 100644
--- a/demonstrations_v2/ml_classical_shadows/demo.py
+++ b/demonstrations_v2/ml_classical_shadows/demo.py
@@ -27,8 +27,11 @@
 properties from the learned classical shadows. So let's get started!
 
 .. note::
-    This demo is compatible with the latest version of PennyLane and ``neural-tangents==0.6.5``.
+    This demo is compatible with the latest version of PennyLane and ``neural-tangents``.
     The latter is required for building the kernel for the infinite network used in training.
+    As of July 10th, 2025, the latest version of ``neural-tangents`` (v0.6.5) is only compatible
+    with ``jax<0.6.0``. This means that this demo is only compatible with PennyLane versions
+    <= 0.41.1 and Catalyst versions <= 0.11.0.
 
 
 Building the 2D Heisenberg model
@@ -648,7 +651,7 @@ def build_dataset(num_points, Nr, Nc, T=500):
 # from the ``sklearn`` library.
 #
 
-from sklearn.metrics import mean_squared_error
+from sklearn.metrics import root_mean_squared_error
 
 def fit_predict_data(cij, kernel, opt="linear"):
 
@@ -685,8 +688,8 @@ def fit_predict_data(cij, kernel, opt="linear"):
                 best_model = model(hyperparam).fit(X_train, y_train)
                 best_pred = best_model.predict(X_test)
                 best_cv_score = cv_score
-                best_test_score = mean_squared_error(
-                    best_model.predict(X_test).ravel(), y_test_clean.ravel(), squared=False
+                best_test_score = root_mean_squared_error(
+                    best_model.predict(X_test).ravel(), y_test_clean.ravel()
                 )
 
     return (
diff --git a/demonstrations_v2/ml_classical_shadows/metadata.json b/demonstrations_v2/ml_classical_shadows/metadata.json
index 5bcf2a0116..b8c4d33861 100644
--- a/demonstrations_v2/ml_classical_shadows/metadata.json
+++ b/demonstrations_v2/ml_classical_shadows/metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2022-05-02T00:00:00+00:00",
-    "dateOfLastModification": "2025-01-10T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-15T00:00:00+00:00",
     "categories": [
         "Quantum Machine Learning"
     ],
diff --git a/demonstrations_v2/qnn_module_tf/demo.py b/demonstrations_v2/qnn_module_tf/demo.py
index d6cc1e5a91..43a9e5c872 100644
--- a/demonstrations_v2/qnn_module_tf/demo.py
+++ b/demonstrations_v2/qnn_module_tf/demo.py
@@ -18,6 +18,8 @@
 .. warning::
 
     This demo is only compatible with PennyLane version 0.40 or below.
+    Tensorflow should also be version 2.15 for this demo to run. The package scikit-learn is
+    also required (do not install sklearn as it is deprecated).
     For usage with a later version of PennyLane, please consider using
     :doc:`PyTorch </demos/tutorial_qnn_module_torch>` or :doc:`JAX </demos/tutorial_How_to_optimize_QML_model_using_JAX_and_Optax>`.
 
diff --git a/demonstrations_v2/qnn_module_tf/metadata.json b/demonstrations_v2/qnn_module_tf/metadata.json
index 15d489d26a..95a5882205 100644
--- a/demonstrations_v2/qnn_module_tf/metadata.json
+++ b/demonstrations_v2/qnn_module_tf/metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2020-11-02T00:00:00+00:00",
-    "dateOfLastModification": "2025-03-21T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-10T00:00:00+00:00",
     "categories": [
         "Devices and Performance",
         "Quantum Machine Learning"
diff --git a/demonstrations_v2/qnspsa/demo.py b/demonstrations_v2/qnspsa/demo.py
index 994846b6df..24df5fecf4 100644
--- a/demonstrations_v2/qnspsa/demo.py
+++ b/demonstrations_v2/qnspsa/demo.py
@@ -357,8 +357,8 @@ def get_grad(params_curr):
 #
 
 def get_overlap_tape(qnode, params1, params2):
-    tape_forward = qml.workflow.construct_tape(qnode)(*params1)
-    tape_inv = qml.workflow.construct_tape(qnode)(*params2)
+    tape_forward = qml.workflow.construct_tape(qnode)(params1)
+    tape_inv = qml.workflow.construct_tape(qnode)(params2)
 
     ops = tape_forward.operations + list(qml.adjoint(op) for op in reversed(tape_inv.operations))
     return qml.tape.QuantumTape(ops, [qml.probs(wires=tape_forward.wires)])
@@ -819,8 +819,8 @@ def __get_spsa_grad_tapes(self, cost, params):
         # used to estimate the gradient per optimization step. The sampled
         # direction is of the shape of the input parameter.
         direction = self.__get_perturbation_direction(params)
-        tape_forward = qml.workflow.construct_tape(cost)(*[params + self.finite_diff_step * direction])
-        tape_backward = qml.workflow.construct_tape(cost)(*[params - self.finite_diff_step * direction])
+        tape_forward = qml.workflow.construct_tape(cost)(params + self.finite_diff_step * direction)
+        tape_backward = qml.workflow.construct_tape(cost)(params - self.finite_diff_step * direction)
         return [tape_forward, tape_backward], direction
 
     def __update_tensor(self, tensor_raw):
@@ -863,8 +863,8 @@ def __regularize_tensor(self, metric_tensor):
 
     def __apply_blocking(self, cost, params_curr, params_next):
         # For numerical stability: apply the blocking condition on the parameter update.
-        tape_loss_curr = qml.workflow.construct_tape(cost)(*[params_curr])
-        tape_loss_next = qml.workflow.construct_tape(cost)(*[params_next])
+        tape_loss_curr = qml.workflow.construct_tape(cost)(params_curr)
+        tape_loss_next = qml.workflow.construct_tape(cost)(params_next)
 
         loss_curr, loss_next = qml.execute([tape_loss_curr, tape_loss_next], cost.device, None)
         # self.k has been updated earlier.
@@ -913,9 +913,9 @@ def __apply_blocking(self, cost, params_curr, params_next):
 # The optimizer performs reasonably well: the loss drops over optimization
 # steps and converges finally. We then reproduce the benchmarking test
 # between the gradient descent, quantum natural gradient descent, SPSA and
-# QN-SPSA in Fig. 1(b) of reference [#Gacon2021]_ with the following job. 
+# QN-SPSA in Fig. 1(b) of reference [#Gacon2021]_ with the following job.
 #
-# .. warning:: 
+# .. warning::
 #   The code required to plot the results of the example below is not provided, but a similar
 #   example can be found in this
 #   `notebook <https://github.com/aws/amazon-braket-examples/blob/main/examples/hybrid_jobs/6_QNSPSA_optimizer_with_embedded_simulator/qnspsa_with_embedded_simulator.ipynb>`__,
diff --git a/demonstrations_v2/qnspsa/metadata.json b/demonstrations_v2/qnspsa/metadata.json
index e93a848d74..fb2795e347 100644
--- a/demonstrations_v2/qnspsa/metadata.json
+++ b/demonstrations_v2/qnspsa/metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2022-07-18T00:00:00+00:00",
-    "dateOfLastModification": "2025-06-05T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-11T00:00:00+00:00",
     "categories": [
         "Optimization"
     ],
diff --git a/demonstrations_v2/quantum_volume/demo.py b/demonstrations_v2/quantum_volume/demo.py
index 08d3783992..057151eb96 100644
--- a/demonstrations_v2/quantum_volume/demo.py
+++ b/demonstrations_v2/quantum_volume/demo.py
@@ -15,7 +15,7 @@
 *Author: Olivia Di Matteo — Posted: 15 December 2020. Last updated: 15 April 2021.*
 
 .. warning::
-    The data in this demo was originally generated using system calibration data from the ``ibmq_lima`` device, 
+    The data in this demo was originally generated using system calibration data from the ``ibmq_lima`` device,
     which has since been retired. While the code now uses a fake version of the Lima device, the noise and calibration
     may have shifted since the data was generated.
 
@@ -161,6 +161,7 @@
 # The median of this probability distribution is:
 
 import numpy as np
+
 prob_array = np.fromiter(measurement_probs.values(), dtype=np.float64)
 print(f"Median = {np.median(prob_array):.3f}")
 
@@ -387,11 +388,10 @@ def qv_circuit_layer(num_qubits):
     for _ in range(m):
         qv_circuit_layer(m)
 
-(expanded_tape, ), _ = qml.transforms.decompose(tape, gate_set={qml.QubitUnitary, qml.SWAP})
+(expanded_tape,), _ = qml.transforms.decompose(tape, gate_set={qml.QubitUnitary, qml.SWAP})
 print(qml.drawer.tape_text(expanded_tape, wire_order=dev_ideal.wires, show_all_wires=True, show_matrices=True))
 
 
-
 ##############################################################################
 # .. rst-class:: sphx-glr-script-out
 #
@@ -458,6 +458,7 @@ def qv_circuit_layer(num_qubits):
 # distribution as follows:
 #
 
+
 def heavy_output_set(m, probs):
     # Compute heavy outputs of an m-qubit circuit with measurement outcome
     # probabilities given by probs, which is an array with the probabilities
@@ -490,7 +491,7 @@ def heavy_output_set(m, probs):
 
 # Run the circuit, compute heavy outputs, and print results
 [output_probs] = qml.execute([tape], dev_ideal)  # returns a list of result !
-output_probs = output_probs.reshape(2 ** m, )
+output_probs = output_probs.reshape(2**m)
 heavy_outputs, prob_heavy_output = heavy_output_set(m, output_probs)
 
 print("State\tProbability")
@@ -542,8 +543,8 @@ def heavy_output_set(m, probs):
 #
 #         .. code-block:: python3
 #
-#             from qiskit_ibm_provider import IBMProvider
-#             IBMProvider.save_account('MY_API_TOKEN')
+#             from qiskit_ibm_runtime import QiskitRuntimeService
+#             QiskitRuntimeService.save_account(channel="ibm_quantum_platform", token="<API_TOKEN>", overwrite=True, set_as_default=True)
 #
 #    A token can be generated by logging into your IBM Q account `here <https://quantum-computing.ibm.com/login>`_ .
 #
@@ -561,13 +562,15 @@ def heavy_output_set(m, probs):
 
 from rustworkx.visualization import mpl_draw
 from qiskit_ibm_runtime.fake_provider import FakeLimaV2
+from matplotlib import pyplot as plt
 
 mpl_draw(FakeLimaV2().coupling_map.graph)
+plt.show()
 
 
 ##############################################################################
 #
-# .. figure:: ../_static/demonstration_assets/quantum_volume/lima.svg
+# .. figure:: ../_static/demonstration_assets/quantum_volume/fake_lima.png
 #     :align: center
 #     :width: 75%
 #
@@ -590,11 +593,11 @@ def heavy_output_set(m, probs):
 
 
 transpile_args = {
-        "optimization_level": 3,
-        "coupling_map": FakeLimaV2().coupling_map,
-        "layout_method": "sabre",
-        "routing_method": "sabre",
-    }
+    "optimization_level": 3,
+    "coupling_map": FakeLimaV2().coupling_map,
+    "layout_method": "sabre",
+    "routing_method": "sabre",
+}
 
 dev_noisy = qml.device("qiskit.remote", wires=5, shots=1000, backend=FakeLimaV2(), **transpile_args)
 
@@ -624,22 +627,19 @@ def heavy_output_set(m, probs):
             for _ in range(m):
                 qv_circuit_layer(m)
             qml.probs(wires=range(m))
-        
+
         # when using qml.execute, shots must be on the tape
         tape_counts = tape_probs.copy(measurements=[qml.counts()], shots=1000)
 
         output_probs = qml.execute([tape_probs], dev_ideal)
-        output_probs = output_probs[0].reshape(2 ** m, )
+        output_probs = output_probs[0].reshape(2**m)
         heavy_outputs, prob_heavy_output = heavy_output_set(m, output_probs)
 
         # Execute circuit on the noisy device
         [counts] = qml.execute([tape_counts], dev_noisy)
 
         device_heavy_outputs = np.sum(
-            [
-                counts[x] if x[:m] in heavy_outputs else 0
-                for x in counts.keys()
-            ]
+            [counts[x] if x[:m] in heavy_outputs else 0 for x in counts.keys()]
         )
         fraction_device_heavy_output = device_heavy_outputs / dev_noisy.shots.total_shots
 
@@ -726,7 +726,6 @@ def heavy_output_set(m, probs):
 # :math:`2\sigma` away from the threshold!
 #
 
-from matplotlib import pyplot as plt
 fig, ax = plt.subplots(2, 2, sharex=True, sharey=True, figsize=(9, 6))
 ax = ax.ravel()
 
diff --git a/demonstrations_v2/quantum_volume/metadata.json b/demonstrations_v2/quantum_volume/metadata.json
index 4a626d10ed..05e2817552 100644
--- a/demonstrations_v2/quantum_volume/metadata.json
+++ b/demonstrations_v2/quantum_volume/metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2020-12-15T00:00:00+00:00",
-    "dateOfLastModification": "2025-01-08T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-11T00:00:00+00:00",
     "categories": [
         "Quantum Hardware",
         "Quantum Computing"
diff --git a/demonstrations_v2/tutorial_How_to_simulate_quantum_circuits_with_tensor_networks/metadata.json b/demonstrations_v2/tutorial_How_to_simulate_quantum_circuits_with_tensor_networks/metadata.json
index 7065e33abc..5a56780fff 100644
--- a/demonstrations_v2/tutorial_How_to_simulate_quantum_circuits_with_tensor_networks/metadata.json
+++ b/demonstrations_v2/tutorial_How_to_simulate_quantum_circuits_with_tensor_networks/metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2024-07-09T00:00:00+00:00",
-    "dateOfLastModification": "2024-10-07T00:00:00+00:00",
+    "dateOfLastModification": "2025-06-25T00:00:00+00:00",
     "categories": [
         "Getting Started",
         "Quantum Computing",
diff --git a/demonstrations_v2/tutorial_adjoint_diff/demo.py b/demonstrations_v2/tutorial_adjoint_diff/demo.py
index 5941243c92..3f1506443b 100644
--- a/demonstrations_v2/tutorial_adjoint_diff/demo.py
+++ b/demonstrations_v2/tutorial_adjoint_diff/demo.py
@@ -71,24 +71,21 @@
 # To start, we import PennyLane and Jax's numpy:
 
 import pennylane as qml
-import jax
-from jax import numpy as np
-
-jax.config.update("jax_platform_name", "cpu")
+import pennylane.numpy as pnp
 
 
 ##############################################################################
 # We also need a circuit to simulate:
 #
 
-dev = qml.device('default.qubit', wires=2)
+dev = qml.device("default.qubit", wires=2)
 
-x = np.array([0.1, 0.2, 0.3])
+x = pnp.array([0.1, 0.2, 0.3], requires_grad=True)
 
 @qml.qnode(dev, diff_method="adjoint")
 def circuit(a):
     qml.RX(a[0], wires=0)
-    qml.CNOT(wires=(0,1))
+    qml.CNOT(wires=(0, 1))
     qml.RY(a[1], wires=1)
     qml.RZ(a[2], wires=1)
     return qml.expval(qml.PauliX(wires=1))
@@ -107,20 +104,20 @@ def circuit(a):
 
 ops = [
     qml.RX(x[0], wires=0),
-    qml.CNOT(wires=(0,1)),
+    qml.CNOT(wires=(0, 1)),
     qml.RY(x[1], wires=1),
-    qml.RZ(x[2], wires=1)
+    qml.RZ(x[2], wires=1),
 ]
 M = qml.PauliX(wires=1)
 
 ##############################################################################
 # We will be using internal functions to manipulate the nuts and bolts of a statevector
 # simulation.
-# 
+#
 # Internally, the statevector simulation uses a 2x2x2x... array to represent the state, whereas
 # the result of a measurement ``qml.state()`` flattens this internal representation. Each dimension
 # in the statevector corresponds to a different qubit.
-# 
+#
 # The internal functions ``create_initial_state`` and ``apply_operation``
 # make additional assumptions about their inputs, and will fail or give incorrect results
 # if those assumptions are not met. To work with these simulation tools, all operations should provide
@@ -161,7 +158,7 @@ def circuit(a):
 # Now we use ``np.vdot`` to take their inner product.  ``np.vdot`` sums over all dimensions
 # and takes the complex conjugate of the first input.
 
-M_expval = np.vdot(bra, ket)
+M_expval = pnp.vdot(bra, ket)
 print("vdot  : ", M_expval)
 print("QNode : ", circuit(x))
 
@@ -189,10 +186,10 @@ def circuit(a):
 
 ket_n = create_initial_state((0, 1))
 
-for op in ops[:-1]: # don't apply last operation
+for op in ops[:-1]:  # don't apply last operation
     ket_n = apply_operation(op, ket_n)
 
-M_expval_n = np.vdot(bra_n, ket_n)
+M_expval_n = pnp.vdot(bra_n, ket_n)
 print(M_expval_n)
 
 ##############################################################################
@@ -227,7 +224,7 @@ def circuit(a):
 bra_n_v2 = apply_operation(adj_op, bra_n_v2)
 ket_n_v2 = apply_operation(adj_op, ket_n_v2)
 
-M_expval_n_v2 = np.vdot(bra_n_v2, ket_n_v2)
+M_expval_n_v2 = pnp.vdot(bra_n_v2, ket_n_v2)
 print(M_expval_n_v2)
 
 ##############################################################################
@@ -256,7 +253,7 @@ def circuit(a):
     adj_op = qml.adjoint(op)
     bra_loop = apply_operation(adj_op, bra_loop)
     ket_loop = apply_operation(adj_op, ket_loop)
-    print(np.vdot(bra_loop, ket_loop))
+    print(pnp.vdot(bra_loop, ket_loop))
 
 ##############################################################################
 # Finally to Derivatives!
@@ -370,7 +367,7 @@ def circuit(a):
         dU = qml.operation.operation_derivative(op)
         ket_temp = apply_operation(qml.QubitUnitary(dU, op.wires), ket)
 
-        dM = 2 * np.real(np.vdot(bra, ket_temp))
+        dM = 2 * pnp.real(pnp.vdot(bra, ket_temp))
         grads.append(dM)
 
     bra = apply_operation(adj_op, bra)
@@ -382,7 +379,7 @@ def circuit(a):
 
 print("our calculation: ", [float(grad) for grad in grads])
 
-grad_compare = jax.grad(circuit)(x)
+grad_compare = qml.grad(circuit)(x)
 print("comparison: ", grad_compare)
 
 ##############################################################################
@@ -393,17 +390,17 @@ def circuit(a):
 # ``"default.qubit"`` or PennyLane's fast C++ simulator ``"lightning.qubit"``.
 
 
-dev_lightning = qml.device('lightning.qubit', wires=2)
+dev_lightning = qml.device("lightning.qubit", wires=2)
 
 @qml.qnode(dev_lightning, diff_method="adjoint")
 def circuit_adjoint(a):
     qml.RX(a[0], wires=0)
-    qml.CNOT(wires=(0,1))
+    qml.CNOT(wires=(0, 1))
     qml.RY(a[1], wires=1)
     qml.RZ(a[2], wires=1)
     return qml.expval(M)
 
-print(jax.grad(circuit_adjoint)(x))
+print(qml.grad(circuit_adjoint)(x))
 
 ##############################################################################
 # Performance
diff --git a/demonstrations_v2/tutorial_adjoint_diff/metadata.json b/demonstrations_v2/tutorial_adjoint_diff/metadata.json
index 95e9a2c6fc..ab4a089127 100644
--- a/demonstrations_v2/tutorial_adjoint_diff/metadata.json
+++ b/demonstrations_v2/tutorial_adjoint_diff/metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2021-11-23T00:00:00+00:00",
-    "dateOfLastModification": "2024-10-07T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-11T00:00:00+00:00",
     "categories": [
         "Getting Started"
     ],
diff --git a/demonstrations_v2/tutorial_error_mitigation/requirements.in b/demonstrations_v2/tutorial_error_mitigation/requirements.in
index 5725116d67..ec9119f2eb 100644
--- a/demonstrations_v2/tutorial_error_mitigation/requirements.in
+++ b/demonstrations_v2/tutorial_error_mitigation/requirements.in
@@ -1,2 +1,3 @@
 mitiq==0.43.0
 ply==3.11
+pennylane_qiskit
diff --git a/demonstrations_v2/tutorial_odegen/demo.py b/demonstrations_v2/tutorial_odegen/demo.py
index 8894ff68d8..11577b6e82 100644
--- a/demonstrations_v2/tutorial_odegen/demo.py
+++ b/demonstrations_v2/tutorial_odegen/demo.py
@@ -296,7 +296,7 @@ def partial_step(grad_circuit, opt_state, theta):
 
     return thetas, energy
 
-key = jax.random.PRNGKey(0)
+key = jax.random.PRNGKey(888)
 theta0 = jax.random.normal(key, shape=(n_param_batch, tbins * 2))
 
 thetaf_odegen, energy_odegen = run_opt(value_and_grad_jax, theta0)
@@ -313,8 +313,9 @@ def partial_step(grad_circuit, opt_state, theta):
 
 ##############################################################################
 # We see that with analytic gradients (ODEgen), we can reach the ground state energy within 100 epochs, whereas with SPS gradients we cannot find the path
-# towards the minimum due to the stochasticity of the gradient estimates. Note that both optimizations start from the same (random) initial point.
-# This picture solidifies when repeating this procedure for multiple runs from different random initializations, as was demonstrated in [#Kottmann]_.
+# towards the minimum due to the stochasticity of the gradient estimates. Note that the convergence of the optimization is sensitive to the initial guess.
+# In this demonstration, both optimizations start from the same (random) initial point. This picture solidifies when repeating this procedure for multiple
+# runs from different random initializations, as was demonstrated in [#Kottmann]_.
 #
 # We also want to make sure that this is a fair comparison in terms of quantum resources. In the case of ODEgen, we maximally have :math:`\mathcal{R}_\text{ODEgen} = 2 (4^n - 1) = 30` expectation values.
 # For SPS we have :math:`2 N_g N_s = 32` (due to :math:`N_g = 2` and :math:`N_s=8` time samples per gradient that we chose in ``num_split_times`` above). Thus, overall, we require fewer
diff --git a/demonstrations_v2/tutorial_odegen/metadata.json b/demonstrations_v2/tutorial_odegen/metadata.json
index df0ad04903..a84d59773b 100644
--- a/demonstrations_v2/tutorial_odegen/metadata.json
+++ b/demonstrations_v2/tutorial_odegen/metadata.json
@@ -6,7 +6,7 @@
         }
     ],
     "dateOfPublication": "2023-12-12T00:00:00+00:00",
-    "dateOfLastModification": "2025-01-28T00:00:00+00:00",
+    "dateOfLastModification": "2025-07-08T00:00:00+00:00",
     "categories": [
         "Optimization",
         "Quantum Computing",

From f41105edb4c6939eab0f226ef5cb71f9a7c58e3a Mon Sep 17 00:00:00 2001
From: andrijapau <andrija.paurevic@xanadu.ai>
Date: Wed, 16 Jul 2025 11:03:10 -0400
Subject: [PATCH 17/22] update constraints-stable.txt

---
 dependencies/constraints-stable.txt | 22 +++++++++++-----------
 1 file changed, 11 insertions(+), 11 deletions(-)

diff --git a/dependencies/constraints-stable.txt b/dependencies/constraints-stable.txt
index 519f115dc5..671de33c74 100644
--- a/dependencies/constraints-stable.txt
+++ b/dependencies/constraints-stable.txt
@@ -1,19 +1,19 @@
 # Specifies global constraints for the stable build
 --extra-index-url https://download.pytorch.org/whl/cpu
-pennylane==0.41.0
-pennylane-cirq==0.41.0
-pennylane-qiskit==0.41.0
-pennylane-qulacs==0.41.0
-pennylane-catalyst==0.11.0
+pennylane==0.42.0
+pennylane-cirq==0.42.0
+pennylane-qiskit==0.42.0
+pennylane-qulacs==0.42.0
+pennylane-catalyst==0.12.0
 pennylane-qrack==0.11.1
 
 chex<1.0.0
 pyqrack==1.32.12
 numpy~=1.24
 matplotlib==3.7.2
-jax==0.4.28
-jaxlib==0.4.28
-jaxopt==0.8.3
+jax==0.6.0
+jaxlib==0.6.0
+jaxopt==0.8.5
 aiohttp==3.9.5
 fsspec==2024.6.1
 h5py==3.11.0
@@ -26,7 +26,7 @@ torch==2.1.2+cpu ; sys_platform != 'darwin'
 torch==2.1.2 ; sys_platform == 'darwin'
 torchvision==0.16.2+cpu ; sys_platform != 'darwin'
 torchvision==0.16.2 ; sys_platform == 'darwin'
-tensorflow==2.14.1
-optax==0.2.3
-quimb==1.8.2
+tensorflow==2.19
+optax==0.2.4
+quimb==1.11.0
 kahypar==1.1.7

From 7c527cdd9c5570554bb3059e3ed3f7ed799a530c Mon Sep 17 00:00:00 2001
From: andrijapau <andrija.paurevic@xanadu.ai>
Date: Wed, 16 Jul 2025 11:06:48 -0400
Subject: [PATCH 18/22] revert quimb version

---
 dependencies/constraints-stable.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/dependencies/constraints-stable.txt b/dependencies/constraints-stable.txt
index 671de33c74..80feefdd4e 100644
--- a/dependencies/constraints-stable.txt
+++ b/dependencies/constraints-stable.txt
@@ -28,5 +28,5 @@ torchvision==0.16.2+cpu ; sys_platform != 'darwin'
 torchvision==0.16.2 ; sys_platform == 'darwin'
 tensorflow==2.19
 optax==0.2.4
-quimb==1.11.0
+quimb==1.8.2
 kahypar==1.1.7

From 4bea59769c98aa22cb9fd056323836f47e6cc5b9 Mon Sep 17 00:00:00 2001
From: andrijapau <andrija.paurevic@xanadu.ai>
Date: Wed, 16 Jul 2025 11:17:10 -0400
Subject: [PATCH 19/22] try forcing constraints on pennylane / catalyst
 versions

---
 .../linear_equations_hhl_qrisp_catalyst/requirements.in         | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/demonstrations_v2/linear_equations_hhl_qrisp_catalyst/requirements.in b/demonstrations_v2/linear_equations_hhl_qrisp_catalyst/requirements.in
index 37d2377a39..d9e8f8fdae 100644
--- a/demonstrations_v2/linear_equations_hhl_qrisp_catalyst/requirements.in
+++ b/demonstrations_v2/linear_equations_hhl_qrisp_catalyst/requirements.in
@@ -1 +1,3 @@
 qrisp>=0.6.1
+pennylane<=0.41.1
+pennylane-catalyst<=0.11.0
\ No newline at end of file

From 461fdb08b01ac90a0507b9b05ca8d9209fcbb828 Mon Sep 17 00:00:00 2001
From: andrijapau <andrija.paurevic@xanadu.ai>
Date: Wed, 16 Jul 2025 11:28:25 -0400
Subject: [PATCH 20/22] Revert "try forcing constraints on pennylane / catalyst
 versions"

This reverts commit 4bea59769c98aa22cb9fd056323836f47e6cc5b9.
---
 .../linear_equations_hhl_qrisp_catalyst/requirements.in         | 2 --
 1 file changed, 2 deletions(-)

diff --git a/demonstrations_v2/linear_equations_hhl_qrisp_catalyst/requirements.in b/demonstrations_v2/linear_equations_hhl_qrisp_catalyst/requirements.in
index d9e8f8fdae..37d2377a39 100644
--- a/demonstrations_v2/linear_equations_hhl_qrisp_catalyst/requirements.in
+++ b/demonstrations_v2/linear_equations_hhl_qrisp_catalyst/requirements.in
@@ -1,3 +1 @@
 qrisp>=0.6.1
-pennylane<=0.41.1
-pennylane-catalyst<=0.11.0
\ No newline at end of file

From 9897cec86f1f2c1f97be310ee55378c8db1b2b7f Mon Sep 17 00:00:00 2001
From: andrijapau <andrija.paurevic@xanadu.ai>
Date: Wed, 16 Jul 2025 11:28:32 -0400
Subject: [PATCH 21/22] Revert "revert quimb version"

This reverts commit 7c527cdd9c5570554bb3059e3ed3f7ed799a530c.
---
 dependencies/constraints-stable.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/dependencies/constraints-stable.txt b/dependencies/constraints-stable.txt
index 80feefdd4e..671de33c74 100644
--- a/dependencies/constraints-stable.txt
+++ b/dependencies/constraints-stable.txt
@@ -28,5 +28,5 @@ torchvision==0.16.2+cpu ; sys_platform != 'darwin'
 torchvision==0.16.2 ; sys_platform == 'darwin'
 tensorflow==2.19
 optax==0.2.4
-quimb==1.8.2
+quimb==1.11.0
 kahypar==1.1.7

From 991bf2b1302e31688209677f32fd502de749a94c Mon Sep 17 00:00:00 2001
From: andrijapau <andrija.paurevic@xanadu.ai>
Date: Wed, 16 Jul 2025 11:28:37 -0400
Subject: [PATCH 22/22] Revert "update constraints-stable.txt"

This reverts commit f41105edb4c6939eab0f226ef5cb71f9a7c58e3a.
---
 dependencies/constraints-stable.txt | 22 +++++++++++-----------
 1 file changed, 11 insertions(+), 11 deletions(-)

diff --git a/dependencies/constraints-stable.txt b/dependencies/constraints-stable.txt
index 671de33c74..519f115dc5 100644
--- a/dependencies/constraints-stable.txt
+++ b/dependencies/constraints-stable.txt
@@ -1,19 +1,19 @@
 # Specifies global constraints for the stable build
 --extra-index-url https://download.pytorch.org/whl/cpu
-pennylane==0.42.0
-pennylane-cirq==0.42.0
-pennylane-qiskit==0.42.0
-pennylane-qulacs==0.42.0
-pennylane-catalyst==0.12.0
+pennylane==0.41.0
+pennylane-cirq==0.41.0
+pennylane-qiskit==0.41.0
+pennylane-qulacs==0.41.0
+pennylane-catalyst==0.11.0
 pennylane-qrack==0.11.1
 
 chex<1.0.0
 pyqrack==1.32.12
 numpy~=1.24
 matplotlib==3.7.2
-jax==0.6.0
-jaxlib==0.6.0
-jaxopt==0.8.5
+jax==0.4.28
+jaxlib==0.4.28
+jaxopt==0.8.3
 aiohttp==3.9.5
 fsspec==2024.6.1
 h5py==3.11.0
@@ -26,7 +26,7 @@ torch==2.1.2+cpu ; sys_platform != 'darwin'
 torch==2.1.2 ; sys_platform == 'darwin'
 torchvision==0.16.2+cpu ; sys_platform != 'darwin'
 torchvision==0.16.2 ; sys_platform == 'darwin'
-tensorflow==2.19
-optax==0.2.4
-quimb==1.11.0
+tensorflow==2.14.1
+optax==0.2.3
+quimb==1.8.2
 kahypar==1.1.7