Prepare for 0.8 release (#828)

* Prepare for release

* Prepare docs for release

* Update Slack channel link

* Fix 0.8 numbering

* Update releasenotes/notes/0.8-prelude-3057999fac96bf43.yaml

Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com>

* Update releasenotes/notes/0.8-prelude-3057999fac96bf43.yaml

Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com>

* Remark Qiskit 1.0+ requirement and move renos

* Move V2 renos and update prelude

---------

Co-authored-by: Steve Wood <40241007+woodsp-ibm@users.noreply.github.com>
Co-authored-by: M. Emre Sahin <40424147+OkuyanBoga@users.noreply.github.com>

Author: 3 people

README.md

@@ -17,8 +17,9 @@ Kernels and Quantum Neural Networks, used in various applications including clas
 and regression.
 
 This library is part of the Qiskit Community ecosystem, a collection of high-level codes that are based
-on the Qiskit software development kit. As of version `0.7.0`, Qiskit Machine Learning is co-maintained
-by IBM and the Hartree Center, part of the UK Science and Technologies Facilities Council (STFC).
+on the Qiskit software development kit. As of version `0.7`, Qiskit Machine Learning is co-maintained
+by IBM and the [Hartree Center](https://www.hartree.stfc.ac.uk/), part of the UK Science and 
+Technologies Facilities Council (STFC).
 
 The Qiskit Machine Learning framework aims to be:
 
@@ -97,7 +98,7 @@ For more details on how to do so and much more, follow the instructions in the
 ## Migration to Qiskit 1.x
 > [!NOTE]
 > Qiskit Machine Learning depends on Qiskit, which will be automatically installed as a 
-> dependency when you install Qiskit Machine Learning. From version `0.8.0` of Qiskit Machine 
+> dependency when you install Qiskit Machine Learning. From version `0.8` of Qiskit Machine 
 > Learning, Qiskit `1.0` or above will be required. If you have a pre-`1.0` version of Qiskit 
 > installed in your environment (however it was installed), you should upgrade to `1.x` to 
 > continue using the latest features. You may refer to the 
@@ -174,8 +175,10 @@ By participating, you are expected to uphold this code.
 
 We use [GitHub issues](https://github.com/qiskit-community/qiskit-machine-learning/issues) for tracking requests and bugs. Please
 [join the Qiskit Slack community](https://qisk.it/join-slack)
-and for discussion and simple questions.
-For questions that are more suited for a forum, we use the **Qiskit** tag in [Stack Overflow](https://stackoverflow.com/questions/tagged/qiskit).
+and use the [`#qiskit-machine-learning`](https://qiskit.enterprise.slack.com/archives/C07JE3V55C1) 
+channel for discussions and short questions.
+For questions that are more suited for a forum, you can use the **Qiskit** tag in [Stack Overflow]
+(https://stackoverflow.com/questions/tagged/qiskit).
 
 ## Humans behind Qiskit Machine Learning
 

docs/getting_started.rst

@@ -110,7 +110,7 @@ Migration to Qiskit 1.x
 .. note::
 
    Qiskit Machine Learning depends on Qiskit, which will be automatically installed as a
-   dependency when you install Qiskit Machine Learning. From version ``0.8.0`` of Qiskit Machine
+   dependency when you install Qiskit Machine Learning. From version ``0.8`` of Qiskit Machine
    Learning, Qiskit ``1.0`` or above will be required. If you have a pre-``1.0`` version of Qiskit
    installed in your environment (however it was installed), you should upgrade to ``1.x`` to
    continue using the latest features. You may refer to the

docs/index.rst

@@ -10,8 +10,9 @@ Kernels and Quantum Neural Networks, used in various applications including clas
 and regression.
 
 This library is part of the Qiskit Community ecosystem, a collection of high-level codes that are based
-on the Qiskit software development kit. As of version ``0.7.0``, Qiskit Machine Learning is co-maintained
-by IBM and the Hartree Center, part of the UK Science and Technologies Facilities Council (STFC).
+on the Qiskit software development kit. As of version ``0.7``, Qiskit Machine Learning is co-maintained
+by IBM and the `Hartree Center <https://www.hartree.stfc.ac.uk/>`__, part of the UK Science and
+Technologies Facilities Council (STFC).
 
 The Qiskit Machine Learning framework aims to be:
 

releasenotes/notes/0.8/0.8-prelude-3057999fac96bf43.yaml

@@ -0,0 +1,8 @@
+---
+prelude: >
+    From this release, Qiskit Machine Learning requires Qiskit `1.0` or above, with important
+    changes and upgrades, such as the introduction of Quantum Bayesian inference and the migration
+    of a subset of Qiskit Algorithms features to Qiskit Machine Learning. These changes are
+    part of the process to build full compatibility with the version-2 (V2) Qiskit primitives
+    available from version `0.8` of Qiskit Machine Learning. V1 primitives are deprecated and
+    will be removed from version `0.9` (please find more information below).

releasenotes/notes/add-quantum-bayesian-inference-92c6025432d9b7e0.yaml renamed to releasenotes/notes/0.8/add-quantum-bayesian-inference-92c6025432d9b7e0.yaml

@@ -1,11 +1,4 @@
 ---
-prelude: >
-    This release includes the migration of a subset of Qiskit Algorithms features to Qiskit Machine
-    Learning. This ensures continued enhancement of essential features for Qiskit Machine
-    Learning following the end of official support for Qiskit Algorithms. Therefore, Qiskit
-    Machine Learning will no longer depend on Qiskit Algorithms, possibly introducing breaking
-    changes in import structures. Some quick-fixes are described below.
-
 features:
   - |
     Migrated essential Qiskit Algorithms features to Qiskit Machine Learning:
@@ -28,10 +21,16 @@ features:
       You may be required to upgrade Qiskit Aer accordingly, depending on your set-up.
 
 upgrade:
+  - |
+    From version `0.8.0`, Qiskit Machine Learning requires Qiskit `1.0` or higher.
+
   - |
     The merge of some of the features of Qiskit Algorithms into Qiskit Machine Learning might lead
-    to breaking changes. For this reason, caution is advised when updating to version 0.8 during
-    critical production stages in a project.
+    to breaking changes. For this reason, caution is advised when updating to version `0.8` during
+    critical production stages in a project. This change ensures continued
+    enhancement and maintenance of essential features for Qiskit Machine
+    Learning following the end of official support for Qiskit Algorithms. Therefore, Qiskit
+    Machine Learning will no longer depend on Qiskit Algorithms.
 
   - |
     Users must update their imports and code references in code that uses Qiskit Machine Leaning