Bump qiskit-machine-learning from 0.7.2 to 0.8.3

[dependabot]

Bumps qiskit-machine-learning from 0.7.2 to 0.8.3.

Release notes

Sourced from qiskit-machine-learning's releases.

v0.8.3

What's Changed

• Pin Qiskit to <2 in next release (backport #904) by @​mergify in qiskit-community/qiskit-machine-learning#935
• Fix CI for mypy and add explicit shape for COO (backport #919) by @​mergify in qiskit-community/qiskit-machine-learning#936
• Remove psutil from requirements.txt (backport #894) by @​mergify in qiskit-community/qiskit-machine-learning#937
• Attempt to remedy random CI failures (backport #925) by @​mergify in qiskit-community/qiskit-machine-learning#938
• Fix for issue #911 (backport #926) by @​mergify in qiskit-community/qiskit-machine-learning#939
• Update intersphinx mapping and other URLs pointing to IQP Classic (backport #933) by @​mergify in qiskit-community/qiskit-machine-learning#940
• Update tox.ini qiskit version by @​edoaltamura in qiskit-community/qiskit-machine-learning#941
• Fixes mypy failure with latest mypy 1.16.0 (backport #944) by @​mergify in qiskit-community/qiskit-machine-learning#955
• [Stable] Prepare minor release - Update VERSION.txt by @​edoaltamura in qiskit-community/qiskit-machine-learning#956

Full Changelog: qiskit-community/qiskit-machine-learning@0.8.2...0.8.3

v0.8.2

What's Changed

• Fixed a compatibility issue for different callback functions when they are used in qiskit_machine_learning.algorithms.trainable_model based algorithms.
• Updated documentation for SamplerQNN, improving the description on using interpret functions and output shapes.
• Extended support for different V2 transpilers from different backends.
• Extended support with Qiskit 1.3.x (latest at the time of release).

[!NOTE] We continue to support the BlueprintCircuit implementation of derived circuit classes until the next major release of Qiskit Machine Learning.

v0.8.1

New Features

• Enhanced Tutorials and Documentation for V2 Primitives, including a migration guide for V2 primitives.

• Extended support for V2 primitives across various quantum machine learning algorithms including VQC, VQR, QSVC, QSVR, and QBayesian. If no primitive is provided, these algorithms will default to using V1 primitives as a fallback for this release. A warning is now issued to inform users of this default behavior.

• Added partial multi-class support for VQC. This feature is now enabled when the output_shape parameter is set to num_classes and an interpret function is defined, allowing for multi-label classification tasks.

• The PegasosQSVC and algorithms derived from NeuralNetworkClassifier module now support predict_proba function. This method can be utilized similarly to other scikit-learn-based algorithms.

• The ADAM class now supports a callback function. This feature allows users to pass a custom callback function that will be called with information at each iteration step during the optimization process. The information passed to the callback includes the current time step, the parameters, and the function value. The callback function should be of the type Callable[[int, Union[float, np.ndarray], float], None]. Example of a callback function:

def callback(iteration:int, weights:np.ndarray, loss:float):
  ...
  acc = calculate_accuracy(weights)
  print(acc)
  print(loss)
  ...

v0.8.0

Prelude to the changelog

... (truncated)

Commits

• 563870d Update VERSION.txt (#956)
• b79a091 Fixes mypy failure with latest mypy 1.16.0 (#944) (#955)
• 0873e42 Update tox.ini qiskit version (#941)
• 5df837d Update intersphinx mapping and other URLs pointing to IQP Classic (#933) (#940)
• 93140ba Fix for issue #911 (#926) (#939)
• bc0b428 Attempt to remedy random CI failures (#925) (#938)
• 8bd54b7 Remove psutil from requirements.txt (backport #894) (#937)
• 50ff3bd Fix CI for mypy and add explicit shape for COO (#919) (#936)
• ba0545c Pin Qiskit to <2 in next release (backport #904) (#935)
• 0a11492 [Stable] Release 0.8.2 (#888)
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