pyRiemann-qiskit v0.1.0

[gcattan]

@sylvchev @qbarthelemy @toncho11

I think we have enough material to deliver v0.1.0. We made good progress with the quantum MDM, enabled multiclass classification, and included more examples.

We have a few ideas for v0.1.1 that we can discuss :

1. Neural network and quantum
2. Quantum emulation with copy classifier
3. Evaluation on real quantum backends (we have some credits to use thanks to the IBM quantum research program)
4. Quantum art and visualization
5. Comparison of quantum vs classical computers for bci illiteracy
6. ...

Let me know what you think.

[qbarthelemy]

It is ok for me to release v0.1.0.

In the gallery, we could create a new item "Classification on other datasets", grouping the examples on Titanic dataset, multiclass EEG and dimension reduction. These three examples are neither ERP nor toy datasets classification examples.

@gcattan, keep the good practice of creating the branch in your personal fork, and not from the upstream repository.

[gcattan]

Yes, sorry about that, I will pay attention for the next PRs.
Thank you for the review!

[toncho11]

I wanted to add that I am against these 0.X.X versioning in general. Why never using the first digit?
I think it should be 1.0 and we continue with 1.1, 1.2 etc.
Also @gcattan you can add a release on github if this is pertinent.

[gcattan]

@toncho11 I try to follow semantic versioning. In X.Y.Z, X is for major, Y for minor, and Z for patches.
X being 0, just means that the public API is not yet stable.
But you are not wrong. Maybe it is stable enough to release 1.0.0 next time.

Yes, I plan to release on github and pypi, but I would like to merge #191 first.