def build_noise_models(self):
add_h = InsertionNoiseModel(
{OpIdentifier(cirq.Gate, q): cirq.H(q)
for q in self.qubits})
add_iswap = InsertionNoiseModel({
OpIdentifier(cirq.Gate, *qs): cirq.ISWAP(*qs)
for qs in self.qubit_pairs
})
return [add_h, add_iswap]
def test_require_physical_tag():
q0, q1 = cirq.LineQubit.range(2)
op_id0 = OpIdentifier(cirq.XPowGate, q0)
op_id1 = OpIdentifier(cirq.ZPowGate, q1)
model = InsertionNoiseModel({op_id0: cirq.T(q0), op_id1: cirq.H(q1)})
assert model.require_physical_tag
moment_0 = cirq.Moment(cirq.X(q0).with_tags(PHYSICAL_GATE_TAG), cirq.Z(q1))
assert model.noisy_moment(moment_0, system_qubits=[q0, q1]) == [
moment_0,
cirq.Moment(cirq.T(q0)),
]
def test_colliding_noise_qubits():
# Check that noise affecting other qubits doesn't cause issues.
q0, q1, q2, q3 = cirq.LineQubit.range(4)
op_id0 = OpIdentifier(cirq.CZPowGate)
model = InsertionNoiseModel({op_id0: cirq.CNOT(q1, q2)}, require_physical_tag=False)
moment_0 = cirq.Moment(cirq.CZ(q0, q1), cirq.CZ(q2, q3))
assert model.noisy_moment(moment_0, system_qubits=[q0, q1, q2, q3]) == [
moment_0,
cirq.Moment(cirq.CNOT(q1, q2)),
cirq.Moment(cirq.CNOT(q1, q2)),
]
def test_prepend():
q0, q1 = cirq.LineQubit.range(2)
op_id0 = OpIdentifier(cirq.XPowGate, q0)
op_id1 = OpIdentifier(cirq.ZPowGate, q1)
model = InsertionNoiseModel(
{op_id0: cirq.T(q0), op_id1: cirq.H(q1)}, prepend=True, require_physical_tag=False
)
moment_0 = cirq.Moment(cirq.X(q0), cirq.Z(q1))
assert model.noisy_moment(moment_0, system_qubits=[q0, q1]) == [
cirq.Moment(cirq.T(q0), cirq.H(q1)),
moment_0,
]
def test_supertype_matching():
# Demonstrate that the model applies the closest matching type
# if multiple types match a given gate.
q0 = cirq.LineQubit(0)
op_id0 = OpIdentifier(cirq.Gate, q0)
op_id1 = OpIdentifier(cirq.XPowGate, q0)
model = InsertionNoiseModel(
{op_id0: cirq.T(q0), op_id1: cirq.S(q0)}, require_physical_tag=False
)
moment_0 = cirq.Moment(cirq.Rx(rads=1).on(q0))
assert model.noisy_moment(moment_0, system_qubits=[q0]) == [moment_0, cirq.Moment(cirq.S(q0))]
moment_1 = cirq.Moment(cirq.Y(q0))
assert model.noisy_moment(moment_1, system_qubits=[q0]) == [moment_1, cirq.Moment(cirq.T(q0))]
def test_insertion_noise():
q0, q1 = cirq.LineQubit.range(2)
op_id0 = OpIdentifier(cirq.XPowGate, q0)
op_id1 = OpIdentifier(cirq.ZPowGate, q1)
model = InsertionNoiseModel({
op_id0: cirq.T(q0),
op_id1: cirq.H(q1)
},
require_physical_tag=False)
assert not model.prepend
moment_0 = cirq.Moment(cirq.X(q0), cirq.X(q1))
assert model.noisy_moment(moment_0, system_qubits=[q0, q1]) == [
moment_0,
cirq.Moment(cirq.T(q0)),
]
moment_1 = cirq.Moment(cirq.Z(q0), cirq.Z(q1))
assert model.noisy_moment(moment_1, system_qubits=[q0, q1]) == [
moment_1,
cirq.Moment(cirq.H(q1)),
]
moment_2 = cirq.Moment(cirq.X(q0), cirq.Z(q1))
assert model.noisy_moment(moment_2, system_qubits=[q0, q1]) == [
moment_2,
cirq.Moment(cirq.T(q0), cirq.H(q1)),
]
moment_3 = cirq.Moment(cirq.Z(q0), cirq.X(q1))
assert model.noisy_moment(moment_3, system_qubits=[q0, q1]) == [moment_3]