Sequence unrolling in standard RB

[stavros11]

Requires qiboteam/qibolab#618. I temporarily modified the pyproject.toml to include this dependency.

I added the unrolling as an option as it may be useful to benchmark with and without.
I only tested locally with the dummy. I am planning to test and also benchmark with instruments when they are available. So far this is expected to work well only with qblox.

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: unrolling
  • Qibolab_platforms_qrc: main

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (e9d484c) 97.32% compared to head (f42a9f6) 97.28%.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #610      +/-   ##
==========================================
- Coverage   97.32%   97.28%   -0.04%     
==========================================
  Files         106      106              
  Lines        7057     7065       +8     
==========================================
+ Hits         6868     6873       +5     
- Misses        189      192       +3     

Flag	Coverage Δ
unittests	97.28% <100.00%> (-0.04%)	⬇️

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

Files	Coverage Δ
...cterization/randomized_benchmarking/standard_rb.py	98.72% <100.00%> (+0.06%)	⬆️

... and 1 file with indirect coverage changes

[andrea-pasquale]

@stavros11 do you think that we can have this for the 0.0.7? Ideally I believe that release should happen at the beginning of january

[stavros11]

I fixed the conflicts, this should be ready.

[andrea-pasquale]

Thanks @stavros11, LGTM.
I will try it on hardware as soon as we have a calibrated chip.
You kept the deploy on hardware label because you still need to run it on hardware or because you have not been able to run it on a calibrated chip?

[stavros11]

Thanks for the review.

You kept the deploy on hardware label because you still need to run on it on hardware or because you have not been able to run in on a calibrated chip?

Yes, I tried it with qw5q_gold and it works but the results look a bit different with and without unrolling:

• unrolling true: http://login.qrccluster.com:9000/0slZJRS1STu4uspfS4_ZjA==
• unrolling false: http://login.qrccluster.com:9000/jAv6Sh-9REygVy17AjtdyQ==

so I would prefer to also try with a calibrated qubit which has a reasonable (not just noise) RB using the main branch, to make sure it is consistent here.