update pyproject.toml to use latest PL ecosystem dependencies (#1441)

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.

Author: andrijapau

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
 

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"

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
 ~~~~~~~~~~~~~~~

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"
     ],

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

poetry.lock

@@ -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