Fast reset testing routine

[Jacfomg]

For now this can be used as a sanity check when playing with the fast reset capability of some devices. I'm still not sure what's the best thing for plotting or if it's needed for a good benchmark to measure both states.

Related to #435 as the results would be bad until we get a big QND-ness but the orutine works as expected.

Edit:
This PR is related to qiboteam/qibolab#506, meaning it only works with that one for Zurich. And qiboteam/qibolab_platforms_qrc#28
Checklist:

• Reviewers confirm new code works as expected.
• Tests are passing.
• Coverage does not decrease.
• Documentation is updated.

[codecov]

Codecov Report

Merging #399 (7d3983f) into main (ec7e5cc) will increase coverage by 0.09%.
The diff coverage is 100.00%.

❗ Current head 7d3983f differs from pull request most recent head cfb8000. Consider uploading reports for the commit cfb8000 to get more accurate results

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #399      +/-   ##
==========================================
+ Coverage   97.15%   97.24%   +0.09%     
==========================================
  Files          49       50       +1     
  Lines        3233     3343     +110     
==========================================
+ Hits         3141     3251     +110     
  Misses         92       92              

Flag	Coverage Δ
unittests	97.24% <100.00%> (+0.09%)	⬆️

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Impacted Files	Coverage Δ
src/qibocal/protocols/characterization/__init__.py	100.00% <100.00%> (ø)
...rotocols/characterization/fast_reset/fast_reset.py	100.00% <100.00%> (ø)

[Jacfomg]

I have a problem, I wanted to get plotty to display a heatmap with text on it to plot a matrix with the state counts, but for some reason I can't make it work. Have you ever plotted something similar ?

[andrea-pasquale]

I have a problem, I wanted to get plotty to display a heatmap with text on it to plot a matrix with the state counts, but for some reason I can't make it work. Have you ever plotted something similar ?

Perhaps @Edoardo-Pedicillo did something similar with single shot classification, I'm not so sure.

[andrea-pasquale]

Thanks @Jacfomg.
You can find below some suggestions.

[andrea-pasquale]

Also this function could be simplified I think. Lets try to fix first the issue related to the plotting.

[Jacfomg]

Yeah, it will be easier for me to put it in loops as the acquisition once it's working

[Edoardo-Pedicillo]

Perhaps @Edoardo-Pedicillo did something similar with single shot classification, I'm not so sure.

Not with plotly, I tried smething like

z=[[1, 20, 30],
    [20, 1, 60],
    [30, 60, 1]]

z_text = [[str(y) for y in x] for x in z]

fig.add_trace(

        go.Heatmap(
            z=z,
            text=z_text,
            texttemplate="%{text}",
            textfont={"size":20}
        ),
        row=1,
        col=1,
    )

it works locally (in a Jupyter Notebook), but not in the report, maybe you will find the error in the function that generate the reports.

[Edoardo-Pedicillo]

I suggest plotting the confusion matrix with the relative values, in this way you can use only one color legend.

[andrea-pasquale]

Tested on hardware and it works.
Some other suggestions very similar to #435

[andrea-pasquale]

Thanks @Jacfomg, just a very small suggestion.
Btw, I had to merge main both in qiboteam/qibolab#506 and qiboteam/qibolab_platforms_qrc#28 to make it work.