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Quantum Machine Learning

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### What should we add? Hello, I'm new to the Qiskit community. I was wondering if it would be possible to add a callback function that allows users to monitor...

priority: low
type: feature request 💡

### What is the expected enhancement? Currently, ML models like `VQC` or `QSVC` rely on the fact that all internal properties of the model are serializable, but this may not...

type: enhancement ✨

### What should we add? The ability to save the training and test accuracy progress while training a QNN (with NeuralNetworkClassifier) per epoch / iteration. This tells us a lot...

type: feature request 💡

### What should we add? Qiskit algorithms, which Qiskit machine-learning (ML) depends on, is no longer officially supported as of https://github.com/qiskit-community/qiskit-algorithms/commit/4247d063c807af01a3ebae9018e189cebb80a112. To continue improving the subset of Algorithms features that...

dependencies

### What should we add? The CI tests involving `TorchConnector` fail with ``` tgrad = tpredict.grad.detach().numpy() RuntimeError: Numpy is not available ``` https://github.com/qiskit-community/qiskit-machine-learning/actions/runs/9753721897/job/26919448830#step:8:2473 because version 2.2.2 of PyTorch, pinned in...

type: ci 🔧
dependencies

This addresses points 2 and 3 raised in https://github.com/qiskit-community/qiskit-machine-learning/issues/787. Also improved PyLint stability by declaring dummy handles when PyTorch is not used.

on hold 🛑

### What should we add? Currently, the `EstimatorQNN` uses `Estimator` from `qiskit.primitives` as the default and the only way to run circuits over the hardware. I would like to add...

priority: high
Hardware runtime 💻

In #779 I added M1 images so we could test with ARM. Since then `macos-latest`, and its synonym `macos-14` is now an ARM image, see https://github.com/actions/runner-images for image info. So...

type: ci 🔧

### What should we add? Revert the change in https://github.com/qiskit-community/qiskit-machine-learning/pull/796 to use the latest version of PyTorch once again after the fix for https://github.com/pytorch/pytorch/issues/124897 reflects in the CI environment.

on hold 🛑
type: ci 🔧
Connector: PyTorch 🔦

### Environment - **Qiskit Machine Learning version**: Name: qiskit-machine-learning Version: 0.8.0 (I have tried 0.7, 0.5 ...) - **Python version**: Python 3.9.20 - **Operating system**: MacOS ### What is happening?...

Hardware runtime 💻