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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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Add exponential fitting to RandomizedBenchMarkResult #6385

Closed eliottrosenberg closed 11 months ago

eliottrosenberg commented 11 months ago

Adds exponential fitting in order to extract the single-qubit error rates from the measured data.

eliottrosenberg commented 11 months ago

@NoureldinYosri @dstrain115 @wcourtney @maffoo

codecov[bot] commented 11 months ago

Codecov Report

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

Comparison is base (2f3c1e2) 97.81% compared to head (6bb0057) 97.81%. Report is 2 commits behind head on main.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #6385 +/- ## ======================================= Coverage 97.81% 97.81% ======================================= Files 1111 1111 Lines 96951 97014 +63 ======================================= + Hits 94828 94891 +63 Misses 2123 2123 ```

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