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quantumlib / Cirq

A Python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
Apache License 2.0
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Adds tools for appending randomized measurement bases and processing renyi entropy from bitstring #6664

Closed senecameeks closed 2 months ago

senecameeks commented 2 months ago

Requested by our NISQ team, this PR:

  1. Adds a new RandomizedMeasurement class to the experiment folder.
  2. Adds a tool in cirq/qis for computing the renyi entropy. The technique is well-known and was used by our team, for example in Satzinger et al (2021), Eq. S4 of the SM.

Notably this PR does not create a new transformer since append_random_measurements returns a sequence of circuits and thus violates the transformer api contract.

CI passes once #6662 is merged

codecov[bot] commented 2 months ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 97.82%. Comparing base (3922a63) to head (c92e7c9).

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #6664 +/- ## ======================================== Coverage 97.82% 97.82% ======================================== Files 1068 1072 +4 Lines 91919 92029 +110 ======================================== + Hits 89917 90027 +110 Misses 2002 2002 ```

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eliottrosenberg commented 2 months ago

Notably this PR does not create a new transformer since append_random_measurements returns a sequence of circuits and thus violates the transformer api contract.

This could be written as a transformer that just appends the random measurements once; then append_randomized_measurements would just call that transformer num_unitaries times. That is the strategy that I took in https://github.com/quantumlib/Cirq/pull/6665, which is also meant to be called many times.