def test_sample_2q_xeb_circuits_error():
qubits = cirq.LineQubit.range(3)
circuits = [cirq.testing.random_circuit(qubits, n_moments=5, op_density=0.8, random_state=52)]
cycle_depths = np.arange(3, 50, 9)
with pytest.raises(ValueError): # three qubit circuits
_ = sample_2q_xeb_circuits(
sampler=cirq.Simulator(),
circuits=circuits,
cycle_depths=cycle_depths,
)
def test_sample_2q_xeb_circuits_no_progress(capsys):
qubits = cirq.LineQubit.range(2)
circuits = [cirq.testing.random_circuit(qubits, n_moments=7, op_density=0.8, random_state=52)]
cycle_depths = np.arange(3, 4)
_ = sample_2q_xeb_circuits(
sampler=cirq.Simulator(),
circuits=circuits,
cycle_depths=cycle_depths,
progress_bar=None,
)
captured = capsys.readouterr()
assert captured.out == ''
assert captured.err == ''
def test_benchmark_2q_xeb_fidelities():
q0, q1 = cirq.LineQubit.range(2)
circuits = [
rqcg.random_rotations_between_two_qubit_circuit(
q0, q1, depth=50, two_qubit_op_factory=lambda a, b, _: SQRT_ISWAP(a, b), seed=52
)
for _ in range(2)
]
cycle_depths = np.arange(3, 50, 9)
sampled_df = sample_2q_xeb_circuits(
sampler=cirq.Simulator(seed=53), circuits=circuits, cycle_depths=cycle_depths
)
fid_df = benchmark_2q_xeb_fidelities(sampled_df, circuits, cycle_depths)
assert len(fid_df) == len(cycle_depths)
for _, row in fid_df.iterrows():
assert row['cycle_depth'] in cycle_depths
assert row['fidelity'] > 0.98
def test_characterize_phased_fsim_parameters_with_xeb():
q0, q1 = cirq.LineQubit.range(2)
rs = np.random.RandomState(52)
circuits = [
rqcg.random_rotations_between_two_qubit_circuit(
q0,
q1,
depth=20,
two_qubit_op_factory=lambda a, b, _: SQRT_ISWAP(a, b),
seed=rs,
)
for _ in range(2)
]
cycle_depths = np.arange(3, 20, 6)
sampled_df = sample_2q_xeb_circuits(
sampler=cirq.Simulator(seed=rs),
circuits=circuits,
cycle_depths=cycle_depths,
progress_bar=None,
)
# only optimize theta so it goes faster.
options = SqrtISwapXEBOptions(
characterize_theta=True,
characterize_gamma=False,
characterize_chi=False,
characterize_zeta=False,
characterize_phi=False,
)
p_circuits = [parameterize_phased_fsim_circuit(circuit, options) for circuit in circuits]
with multiprocessing.Pool() as pool:
result = characterize_phased_fsim_parameters_with_xeb(
sampled_df=sampled_df,
parameterized_circuits=p_circuits,
cycle_depths=cycle_depths,
phased_fsim_options=options,
# speed up with looser tolerances:
fatol=1e-2,
xatol=1e-2,
pool=pool,
)
assert np.abs(result.x[0] + np.pi / 4) < 0.1
assert np.abs(result.fun) < 0.1 # noiseless simulator
def test_sample_2q_xeb_circuits():
q0, q1 = cirq.LineQubit.range(2)
circuits = [
rqcg.random_rotations_between_two_qubit_circuit(
q0,
q1,
depth=20,
two_qubit_op_factory=lambda a, b, _: SQRT_ISWAP(a, b),
) for _ in range(2)
]
cycle_depths = np.arange(3, 20, 6)
df = sample_2q_xeb_circuits(
sampler=cirq.Simulator(),
circuits=circuits,
cycle_depths=cycle_depths,
)
assert len(df) == len(cycle_depths) * len(circuits)
for (circuit_i, cycle_depth), row in df.iterrows():
assert 0 <= circuit_i < len(circuits)
assert cycle_depth in cycle_depths
assert len(row['sampled_probs']) == 4
assert np.isclose(np.sum(row['sampled_probs']), 1)