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qiskit-community / prototype-quantum-kernel-training

Toolkit for training quantum kernels in machine learning applications
https://arxiv.org/abs/2105.03406
Apache License 2.0
39 stars 12 forks source link

Datasets Code #32

Open drjpeibol opened 2 years ago

drjpeibol commented 2 years ago

Hi!

First, I'd like to congratulate the team for the work described in the repository, it's been a really interesting reading.

Navigating through it I found that there's only 2 datasets available. I found it hard to generate myself some extra datasets, so it would be really useful if the code used to generate those could be also share in this repository.

It would be great to explore some other Quantum Computer architectures with different number of qubits or to replicate the original 27 qubit experiment.

Thanks in advance for the help!

Kind regards,

Pablo.

jenglick commented 2 years ago

Hi Pablo! You're correct that we currently only provide those two datasets (for the "labeling cosets with error" learning problem with a covariant quantum kernel). It's a great suggestion to include more datasets (or the code to generate them) -- we will look into this and see if we can make this available. Thanks!

drjpeibol commented 2 years ago

Looking forward for updates on this!

Thanks in advance.

Pablo.

drjpeibol commented 1 year ago

Hi!

Sorry for reaching out again on this same issue.

I'm still studying the problem discussed in this repo and its associated paper.

Is there any chance to have access to the code used to generate the 27 qubit data used in the paper (or the 7/10 qubit examples in the notebook)? I'm developing my masters' thesis and it would be great to be able to replicate the process you have followed.

Again congratulations for the great job, it's really interesting and I'm really enjoying diving into this world of QML.

Thanks in advance,

Best regards,

Pablo

jenglick commented 1 year ago

Hi Pablo, I'm afraid we don't yet have an update on making this available. We do appreciate your interest in this and will be sure to let you know if anything changes!