qiskit-machine-learning
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qiskit-community
Quantum Machine Learning
This update introduces support for Python 3.13, scheduled for final release on 7 October 2024. Closes https://github.com/qiskit-community/qiskit-machine-learning/issues/825 Closes https://github.com/OkuyanBoga/hc-qiskit-machine-learning/issues/45
Is there any way to use BaseEstimatorV2/BaseSamplerV2 with EstimatorQNN/SamplerQNN at the moment?
### What should we add? The circuit that we pass in the estimator QNN contains two parts : the encoding part(non trainable) and the trainable part. If the encoding circuit...
According to this documentation the binary labels are part of the equation of SVCLoss, https://qiskit-community.github.io/qiskit-machine-learning/stubs/qiskit_machine_learning.utils.loss_functions.SVCLoss.html#:~:text=This%20class%20provides,is%20defined%20as%3A However in this line of code we don't have the label in the loss function...
Hello! While fitting VQC on a (3599, 20) training dataset I faced the following exception: `MemoryError: Unable to allocate 1.64 GiB for an array with shape (1048576,) and data type
Refactor argument handling to enforce positional-only and keyword-only arguments using `/` and `*`
### What should we add? ## Description To improve readability and usability in the Qiskit codebase, we propose refactoring function signatures to clearly define positional-only, positional-or-keyword, and keyword-only arguments using...
### What should we add? Python 3.13 is scheduled to be released in its final version in October 2024, as outlined in [PEP 719](https://peps.python.org/pep-0719/). This setup should be included in...
### What should we add? Implement an early stopping callback for `qiskit-machine-learning` algorithms, allowing us to halt training when the objective function shows no improvement for a set number of...
### Summary This PR includes changes to the release notes, README.md and docs in preparation for the release of Qiskit Machine Learning `0.8`.
Dataset for Benchmarking Variational Fast Forward Pipielines based on Hydrogen Molecule Simulation
### Summary Benchmarking dataset for variational fast-forwarding (VFF) pipelines using the time evolution of quantum states from hydrogen-based molecules. The dataset is structured to support learning-based extrapolation of quantum dynamics:...
