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Add a function for running circuits in a shuffled order with readout error benchmarking. #6945

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Add a function for running circuits in a shuffled order with readout error benchmarking. #6945

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dc4fd0e
(1/n)Add initial shuffle_circuits_with_readout_benchmarking method. T…
ddddddanni Jan 8, 2025
6ca49c1
(2/n) Generate random bitstrings, and use the generated bitstrings to…
ddddddanni Jan 9, 2025
fb2f9e3
Add logics to run the shuffled circuits and measure the results.
ddddddanni Jan 13, 2025
85b8566
Merge branch 'main' into shuffle-circuit
ddddddanni Jan 13, 2025
4097335
Remove unnecessary imports
ddddddanni Jan 13, 2025
19a6bca
Address @NoureldinYosri comments
ddddddanni Jan 15, 2025
ad3f801
Address @eliottrosenberg's comment to move the method under contrib d…
ddddddanni Jan 15, 2025
d5e74b9
Fix a issue on test
ddddddanni Jan 15, 2025
a21fa08
Revert change in cirq-core/cirq/experiments/__init__.py
ddddddanni Jan 15, 2025
b46b713
Update cirq-core/cirq/contrib/shuffle_circuits/shuffle_circuits_with_…
ddddddanni Jan 17, 2025
290873b
Update cirq-core/cirq/contrib/shuffle_circuits/shuffle_circuits_with_…
ddddddanni Jan 17, 2025
99ddeb1
Address NoureldinYosri@ comments
ddddddanni Jan 17, 2025
4175d50
Address @eliottrosenberg comments
ddddddanni Jan 17, 2025
3950e0a
Address @NoureldinYosri comments
ddddddanni Jan 18, 2025
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Update cirq-core/cirq/contrib/shuffle_circuits/shuffle_circuits_with_… 
…readout_benchmarking.py

Co-authored-by: Noureldin <noureldinyosri@gmail.com>
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@ddddddanni @NoureldinYosri
ddddddanni and NoureldinYosri authored Jan 17, 2025
commit 290873b5ddb79c9ed014dc9fe0e184722ea4df29
2 changes: 1 addition & 1 deletion cirq-core/cirq/contrib/shuffle_circuits/shuffle_circuits_with_readout_benchmarking.py
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Expand Up @@ -83,7 +83,7 @@ def _shuffle_circuits(all_circuits: list[circuits.Circuit], all_repetitions: lis
list[int], np.ndarray]:
"""Shuffles the input circuits and readout calibration circuits."""
shuf_order = rng.permutation(len(all_circuits))
unshuf_order = np.zeros_like(shuf_order)
unshuf_order = np.zeros_like(shuf_order) # Inverse permutation
unshuf_order[shuf_order] = np.arange(len(all_circuits))
shuffled_circuits = [all_circuits[i] for i in shuf_order]
all_repetitions = [all_repetitions[i] for i in shuf_order]
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