qiskit-machine-learning
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Pytorch QGAN Notebook Draft
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Summary
This PR includes a notebook that illustrates how to build a qGAN with PyTorch and qiskit-machine-learning resources.
Details and comments
@ElePT Your help and feedback is much appreciated!
Thanks for your comments @ElePT!
Pull Request Test Coverage Report for Build 3290151224
- 1 of 1 (100.0%) changed or added relevant line in 1 file are covered.
- 3 unchanged lines in 1 file lost coverage.
- Overall coverage decreased (-0.08%) to 88.323%
| Files with Coverage Reduction | New Missed Lines | % |
|---|---|---|
| qiskit_machine_learning/datasets/gaussian.py | 3 | 37.11% |
| <!-- | Total: | 3 |
| Totals | |
|---|---|
| Change from base Build 3265936974: | -0.08% |
| Covered Lines: | 3260 |
| Relevant Lines: | 3691 |
💛 - Coveralls
One more comment, about the failed unit test, you will see that there is a complaint about something related to kernels, this is because your Jupiter notebook metadata is specifying a custom kernel, but our CI does not support that, it just runs on Python 3. I will add a suggestion to fix that too in the corresponding cell.