Qutrit classifier

[Edoardo-Pedicillo]

As the title says

Checklist:

• Reviewers confirm new code works as expected.
• Tests are passing.
• Coverage does not decrease.
• Documentation is updated.
• Compatibility with Qibo modules (Please edit this section if the current pull request is not compatible with the following branches).
  • Qibo: master
  • Qibolab: qutrit classifiers hpars qibolab#615
  • Qibolab_platforms_qrc: main

[codecov]

Codecov Report

Merging #543 (1699c01) into main (6d00390) will increase coverage by 0.01%.
Report is 2 commits behind head on main.
The diff coverage is 98.92%.

@@            Coverage Diff             @@
##             main     #543      +/-   ##
==========================================
+ Coverage   96.02%   96.04%   +0.01%     
==========================================
  Files          90       92       +2     
  Lines        6062     6163     +101     
==========================================
+ Hits         5821     5919      +98     
- Misses        241      244       +3     

Flag	Coverage Δ
unittests	96.04% <98.92%> (+0.01%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Files	Coverage Δ
src/qibocal/fitting/classifier/data.py	100.00% <100.00%> (ø)
src/qibocal/fitting/classifier/decision_tree.py	100.00% <100.00%> (ø)
src/qibocal/fitting/classifier/run.py	96.69% <ø> (ø)
src/qibocal/fitting/classifier/scikit_utils.py	83.33% <100.00%> (ø)
src/qibocal/protocols/characterization/__init__.py	100.00% <100.00%> (ø)
...bocal/protocols/characterization/classification.py	99.46% <100.00%> (-0.54%)	⬇️
src/qibocal/protocols/characterization/utils.py	97.23% <100.00%> (+0.76%)	⬆️
src/qibocal/update.py	95.55% <ø> (-0.10%)	⬇️
...rotocols/characterization/qutrit_classification.py	97.59% <97.59%> (ø)

[andrea-pasquale]

@Edoardo-Pedicillo now that I've managed to calibrate the RX12 pulse for qubit 1 and 4 of qw5q_gold (qiboteam/qibolab_platforms_qrc#65) you should be able to run this on hardware.

[andrea-pasquale]

Thanks @Edoardo-Pedicillo for implementing this.
You can find below some comments.
I will test on hardware later and I will approve.

[andrea-pasquale]

Thanks @Edoardo-Pedicillo, LGTM.