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convert cliffords to xz in qubit characterization #6420

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Merged
merged 3 commits into from
Jan 19, 2024
Merged

convert cliffords to xz in qubit characterization #6420

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e775c96
convert cliffords to xz in qubit characterization
NoureldinYosri Jan 19, 2024
3871de2
mypy
NoureldinYosri Jan 19, 2024
9e28358
added test
NoureldinYosri Jan 19, 2024
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8 changes: 5 additions & 3 deletions cirq-core/cirq/experiments/qubit_characterizations.py
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Original file line number Diff line number Diff line change
Expand Up @@ -739,13 +739,15 @@ def _two_qubit_clifford_matrices(


def _random_single_q_clifford(
qubit: 'cirq.Qid', num_cfds: int, cfds: Sequence[Sequence['cirq.Gate']]
qubit: 'cirq.Qid', num_cfds: int, cfds: Sequence[Sequence['cirq.ops.SingleQubitCliffordGate']]
) -> List['cirq.Operation']:
clifford_group_size = 24
operations = [[gate(qubit) for gate in gates] for gates in cfds]
operations = [[gate.to_phased_xz_gate()(qubit) for gate in gates] for gates in cfds]
gate_ids = list(np.random.choice(clifford_group_size, num_cfds))
adjoint = _reduce_gate_seq([gate for gate_id in gate_ids for gate in cfds[gate_id]]) ** -1
return [op for gate_id in gate_ids for op in operations[gate_id]] + [adjoint(qubit)]
return [op for gate_id in gate_ids for op in operations[gate_id]] + [
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I'm surprised that this didn't cause any unit tests to fail.

Can you add a test that validates the generated circuit(s) against a known gateset that resembles what we've already published via the Virtual Quantum Engine? e.g., you might check against a ValidatingTestDevice.

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that's because none of the test examin the internals of the circuits but treat the circuits as blackboxes with a specific behaviour => it checks things like pauli errors and other characterisitics.

added a test for now

adjoint.to_phased_xz_gate()(qubit)
]


def _random_two_q_clifford(
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