def test_identity_short_circuits_act_on():
args = mock.Mock(cirq.ActOnArgs)
args._act_on_fallback_.side_effect = mock.Mock(
side_effect=Exception('No!'))
cirq.act_on(cirq.IdentityGate(1)(cirq.LineQubit(0)), args)
def test_identity_eq():
equals_tester = cirq.testing.EqualsTester()
equals_tester.add_equality_group(cirq.I, cirq.IdentityGate(1))
equals_tester.add_equality_group(cirq.IdentityGate(2))
equals_tester.add_equality_group(cirq.IdentityGate(4))
cirq.GeneralizedAmplitudeDampingChannel(0.1, 0.2),
'GlobalPhaseOperation':
cirq.GlobalPhaseOperation(-1j),
'GridQubit':
cirq.GridQubit(10, 11),
'H':
cirq.H,
'HPowGate': [cirq.HPowGate(exponent=-8), cirq.H**0.123],
'I':
cirq.I,
'ISWAP':
cirq.ISWAP,
'ISwapPowGate': [cirq.ISwapPowGate(exponent=-8), cirq.ISWAP**0.123],
'IdentityGate': [
cirq.I,
cirq.IdentityGate(num_qubits=5),
cirq.IdentityGate(num_qubits=5, qid_shape=(3, ) * 5)
],
'IdentityOperation': [
cirq.IdentityOperation(cirq.LineQubit.range(2)),
cirq.IdentityOperation(cirq.LineQubit.range(5))
],
'LineQubit': [cirq.LineQubit(0), cirq.LineQubit(123)],
'LineQid': [cirq.LineQid(0, 1),
cirq.LineQid(123, 2),
cirq.LineQid(-4, 5)],
'MeasurementGate': [
cirq.MeasurementGate(num_qubits=3, key='z'),
cirq.MeasurementGate(num_qubits=3,
key='z',
invert_mask=(True, False, True)),
def test_identity_init(num_qubits):
assert cirq.IdentityGate(num_qubits).num_qubits() == num_qubits
def test_identity_str():
assert str(cirq.IdentityGate(1)) == 'I'
assert str(cirq.IdentityGate(2)) == 'I(2)'
_B,
)
ALLOW_DEPRECATION_IN_TEST = 'ALLOW_DEPRECATION_IN_TEST'
def test_deprecated_submodule():
with cirq.testing.assert_deprecated(
"Use cirq.transformers.analytical_decompositions.two_qubit_to_fsim instead",
deadline="v0.16",
):
_ = cirq.optimizers.two_qubit_to_fsim.decompose_two_qubit_interaction_into_four_fsim_gates
UNITARY_OBJS = [
cirq.IdentityGate(2),
cirq.XX ** 0.25,
cirq.CNOT,
cirq.CNOT(*cirq.LineQubit.range(2)),
cirq.CNOT(*cirq.LineQubit.range(2)[::-1]),
cirq.ISWAP,
cirq.SWAP,
cirq.FSimGate(theta=np.pi / 6, phi=np.pi / 6),
] + [cirq.testing.random_unitary(4) for _ in range(5)]
FEASIBLE_FSIM_GATES = [
cirq.ISWAP,
cirq.FSimGate(np.pi / 2, 0),
cirq.FSimGate(-np.pi / 2, 0),
cirq.FSimGate(np.pi / 2, np.pi / 6),
cirq.FSimGate(np.pi / 2, -np.pi / 6),
def op_grad(
operation: cirq.GateOperation, parameter: sympy.Symbol
) -> typing.Union[LinearCombinationOfOperations, GradNotImplemented]:
if not cirq.is_parameterized(operation):
return ZERO_OP.copy()
gate = operation.gate
qubits = operation.qubits
if isinstance(gate, cirq.XPowGate):
# dXPow(e=f(t), s) / dt = i π (s + 1 / 2 - X / 2) * (df(t)/dt) XPow(e=f(t), s)
# Note that: Rx(θ) = XPowGate(exponent=θ/pi, global_shift=-0.5)
partial = sympy.diff(gate.exponent, parameter)
coeff_i = 1.0j * sympy.pi * (gate._global_shift + 0.5)
coeff_x = -1.0j / 2 * sympy.pi
if partial == 0:
return ZERO_OP.copy()
return LinearCombinationOfOperations({
(cirq.X.on(*qubits), operation):
coeff_x * partial,
(cirq.I.on(*qubits), operation):
coeff_i * partial
})
elif isinstance(gate, cirq.YPowGate):
# dYPow(e=f(t), s) / dt = i π (s + 1 / 2 - Y / 2) * (df(t)/dt) YPow(e=f(t), s)
# Note that: Ry(θ) = YPowGate(exponent=θ/pi, global_shift=-0.5)
partial = sympy.diff(gate.exponent, parameter)
coeff_i = 1.0j * sympy.pi * (gate._global_shift + 0.5)
coeff_y = -1.0j / 2 * sympy.pi
if partial == 0:
return ZERO_OP.copy()
return LinearCombinationOfOperations({
(cirq.Y.on(*qubits), operation):
coeff_y * partial,
(cirq.I.on(*qubits), operation):
coeff_i * partial
})
elif isinstance(gate, cirq.ZPowGate):
# dZPow(e=f(t), s) / dt = i π (s + 1 / 2 - Z / 2) * (df(t)/dt) ZPow(e=f(t), s)
# Note that: Ry(θ) = ZPowGate(exponent=θ/pi, global_shift=-0.5)
partial = sympy.diff(gate.exponent, parameter)
coeff_i = 1.0j * sympy.pi * (gate._global_shift + 0.5)
coeff_z = -1.0j / 2 * sympy.pi
if partial == 0:
return ZERO_OP.copy()
return LinearCombinationOfOperations({
(cirq.Z.on(*qubits), operation):
coeff_z * partial,
(cirq.I.on(*qubits), operation):
coeff_i * partial
})
elif isinstance(gate, GlobalPhaseGate):
gate = typing.cast(GlobalPhaseGate, gate)
# Ph(θ) = exp(i pi θ)
# dPh(f(θ)) / dθ = [i pi df(θ) / dθ] exp(i pi f(θ))
# = [i pi df(θ) / dθ] Ph(f(θ))
coeff = 1.0j * sympy.diff(gate.rad * sympy.pi, parameter)
if coeff == 0:
return ZERO_OP.copy()
return LinearCombinationOfOperations({(operation, ): coeff})
elif isinstance(gate, cirq.EigenGate):
gate = typing.cast(cirq.EigenGate, gate)
eigenvalues = {v for v, p in gate._eigen_components()}
if eigenvalues == {0, 1}:
e = gate.exponent
s = gate._global_shift
partial = sympy.diff(e, parameter)
if partial == 0:
return ZERO_OP.copy()
num_qubits = gate.num_qubits()
gate_e1_s0 = copy.deepcopy(gate)
gate_e1_s0._exponent = 1.0
gate_e1_s0._global_shift = 0.0 # Any better solutions?
coeff = 0.5 * sympy.exp(1.0j * sympy.pi * (1 + s) * e)
return 1.0j * sympy.pi * LinearCombinationOfOperations(
{
(operation, ): s * partial,
(gate_e1_s0.on(*qubits), ): -coeff * partial,
(cirq.IdentityGate(num_qubits).on(*qubits), ):
coeff * partial
})
else:
return GradNotImplemented(operation)
elif isinstance(gate, GateBlock):
gate = typing.cast(GateBlock, gate)
generator_grad = op_tree_generator_grad(gate._op_generator, parameter)
if isinstance(generator_grad, GradNotImplemented):
return generator_grad
if len(generator_grad) == 0:
return ZERO_OP.copy()
_grad = LinearCombinationOfOperations({})
for generator, coeff in generator_grad.items():
grad_gate = GateBlock(generator)
_grad += LinearCombinationOfOperations({
(grad_gate.on(*qubits), ):
coeff
})
# print(grad_gate.diagram())
return _grad
elif isinstance(gate, cirq.ControlledGate):
gate = typing.cast(cirq.ControlledGate, gate)
sub_gate_qubits = qubits[gate.num_controls():]
sub_op_grad = op_grad(gate.sub_gate.on(*sub_gate_qubits), parameter)
if is_zero_op_or_grad_not_implemented(sub_op_grad):
return sub_op_grad
_gate_grad = LinearCombinationOfOperations({})
op: cirq.GateOperation
for op_series, coeff in sub_op_grad.items():
_controlled_op_series = [
cirq.ControlledGate(op.gate,
num_controls=gate.num_controls()).on(
*qubits[:gate.num_controls()],
*sub_gate_qubits) for op in op_series
]
_controlled_negative_op_series = copy.deepcopy(
_controlled_op_series)
_controlled_negative_op_series.insert(
0,
cirq.ControlledGate(GlobalPhaseGate(rad=1),
num_controls=gate.num_controls()).on(
*qubits[:gate.num_controls()],
*sub_gate_qubits))
_gate_grad += LinearCombinationOfOperations(
{
tuple(_controlled_op_series): coeff,
tuple(_controlled_negative_op_series): -coeff,
}) / 2.0
return _gate_grad
# if `operation` is a basic and indecomposable operation whose grad is
# not implemented
elif is_an_indecomposable_operation(operation):
return GradNotImplemented(operation)
else:
op_series = cirq.decompose(
operation,
keep=(lambda op: is_a_basic_operation(op) or
is_an_indecomposable_operation(op)),
on_stuck_raise=None) # type: typing.List[cirq.Operation]
_grad = op_series_grad(op_series, parameter)
return _grad
def _all_operations(q0, q1, q2, q3, q4, include_measurements=True):
class DummyOperation(cirq.Operation):
qubits = (q0, )
with_qubits = NotImplemented
def _qasm_(self, args: cirq.QasmArgs) -> str:
return '// Dummy operation\n'
def _decompose_(self):
# Only used by test_output_unitary_same_as_qiskit
return () # coverage: ignore
class DummyCompositeOperation(cirq.Operation):
qubits = (q0, )
with_qubits = NotImplemented
def _decompose_(self):
return cirq.X(self.qubits[0])
def __repr__(self):
return 'DummyCompositeOperation()'
return (
cirq.Z(q0),
cirq.Z(q0)**0.625,
cirq.Y(q0),
cirq.Y(q0)**0.375,
cirq.X(q0),
cirq.X(q0)**0.875,
cirq.H(q1),
cirq.X(q0)**0.5,
cirq.X(q0)**-0.5,
cirq.CZ(q0, q1),
cirq.CZ(q0, q1)**0.25, # Requires 2-qubit decomposition
cirq.CNOT(q0, q1),
cirq.CNOT(q0, q1)**0.5, # Requires 2-qubit decomposition
cirq.SWAP(q0, q1),
cirq.SWAP(q0, q1)**0.75, # Requires 2-qubit decomposition
cirq.CCZ(q0, q1, q2),
cirq.CCX(q0, q1, q2),
cirq.CCZ(q0, q1, q2)**0.5,
cirq.CCX(q0, q1, q2)**0.5,
cirq.CSWAP(q0, q1, q2),
cirq.IdentityGate(1).on(q0),
cirq.IdentityGate(3).on(q0, q1, q2),
cirq.ISWAP(q2, q0), # Requires 2-qubit decomposition
cirq.PhasedXPowGate(phase_exponent=0.111, exponent=0.25).on(q1),
cirq.PhasedXPowGate(phase_exponent=0.333, exponent=0.5).on(q1),
cirq.PhasedXPowGate(phase_exponent=0.777, exponent=-0.5).on(q1),
(
cirq.measure(q0, key='xX'),
cirq.measure(q2, key='x_a'),
cirq.measure(q1, key='x?'),
cirq.measure(q3, key='X'),
cirq.measure(q4, key='_x'),
cirq.measure(q2, key='x_a'),
cirq.measure(q1, q2, q3, key='multi', invert_mask=(False, True)),
) if include_measurements else (),
DummyOperation(),
DummyCompositeOperation(),
)
def test_identity_repr():
assert repr(cirq.I) == 'cirq.I'
assert repr(cirq.IdentityGate(5)) == 'cirq.IdentityGate(5)'
assert repr(cirq.IdentityGate(
qid_shape=(2, 3))) == 'cirq.IdentityGate(qid_shape=(2, 3))'
cirq.CSWAP(*cirq.LineQubit.range(3)),
cirq.CZ(*cirq.LineQubit.range(2))
],
'GlobalPhaseOperation':
cirq.GlobalPhaseOperation(-1j),
'GridQubit':
cirq.GridQubit(10, 11),
'H':
cirq.H,
'HPowGate': [cirq.HPowGate(exponent=-8), cirq.H**0.123],
'I':
cirq.I,
'ISWAP':
cirq.ISWAP,
'ISwapPowGate': [cirq.ISwapPowGate(exponent=-8), cirq.ISWAP**0.123],
'IdentityGate': [cirq.I, cirq.IdentityGate(num_qubits=5)],
'LineQubit': [cirq.LineQubit(0), cirq.LineQubit(123)],
'LineQid': [cirq.LineQid(0, 1),
cirq.LineQid(123, 2),
cirq.LineQid(-4, 5)],
'MeasurementGate': [
cirq.MeasurementGate(num_qubits=3, key='z'),
cirq.MeasurementGate(num_qubits=3,
key='z',
invert_mask=(True, False, True)),
],
'Moment': [
cirq.Moment(operations=[cirq.X(Q0), cirq.Y(Q1),
cirq.Z(Q2)]),
],
'NamedQubit':
judge_log,
multiplier,
result,
n_qubits=1,
min_two_qubit=0)
@pytest.mark.parametrize(
"gate",
[
cirq.google.SycamoreGate(),
cirq.CX,
cirq.XX,
cirq.YY,
cirq.ZZ,
cirq.IdentityGate(num_qubits=2),
],
)
def test_two_qubit_gates(judge_log, gate):
multiplier = 4
result = JudgeLogEntry(task=f"Two-qubit gate {gate}")
input = cirq.unitary(gate(*(cirq.LineQubit.range(2))))
_score_and_log(input,
judge_log,
multiplier,
result,
n_qubits=2,
min_two_qubit=1)
({cirq.XX: 0.5, cirq.YY: -0.5}, np.rot90(np.diag([1, 0, 0, 1]))),
({cirq.CCZ: 3j}, np.diag([3j, 3j, 3j, 3j, 3j, 3j, 3j, -3j])),
))
def test_linear_combination_of_gates_has_correct_matrix(terms, expected_matrix):
combination = cirq.LinearCombinationOfGates(terms)
assert np.all(combination.matrix() == expected_matrix)
@pytest.mark.parametrize(
'terms, expected_unitary',
(({
cirq.X: np.sqrt(0.5),
cirq.Y: np.sqrt(0.5)
}, np.array([[0, np.sqrt(-1j)], [np.sqrt(1j), 0]])),
({
cirq.IdentityGate(2): np.sqrt(0.5),
cirq.YY: -1j * np.sqrt(0.5),
}, np.sqrt(0.5) *
np.array([[1, 0, 0, 1j], [0, 1, -1j, 0], [0, -1j, 1, 0], [1j, 0, 0, 1]])))
)
def test_unitary_linear_combination_of_gates_has_correct_unitary(
terms, expected_unitary):
combination = cirq.LinearCombinationOfGates(terms)
assert cirq.has_unitary(combination)
assert np.allclose(cirq.unitary(combination), expected_unitary)
@pytest.mark.parametrize('terms', ({
cirq.X: 2
}, {
cirq.Y**sympy.Symbol('t'): 1
expected_expansion = cirq.pauli_expansion(expected)
assert set(actual_expansion.keys()) == set(expected_expansion.keys())
for name in actual_expansion.keys():
assert abs(actual_expansion[name] - expected_expansion[name]) < 1e-12
@pytest.mark.parametrize('expression, expected_result', (
((cirq.X + cirq.Z) / np.sqrt(2), cirq.H),
(cirq.X - cirq.Y, -cirq.Y + cirq.X),
(cirq.X + cirq.S - cirq.X, cirq.S),
(cirq.Y - 2 * cirq.Y, -cirq.Y),
(cirq.Rx(0.2), np.cos(0.1) * cirq.I - 1j * np.sin(0.1) * cirq.X),
(1j * cirq.H * 1j, -cirq.H),
(-1j * cirq.Y, cirq.Ry(np.pi)),
(np.sqrt(-1j) * cirq.S, cirq.Rz(np.pi / 2)),
(0.5 * (cirq.IdentityGate(2) + cirq.XX + cirq.YY + cirq.ZZ), cirq.SWAP),
((cirq.IdentityGate(2) + 1j *
(cirq.XX + cirq.YY) + cirq.ZZ) / 2, cirq.ISWAP),
(cirq.CNOT + 0 * cirq.SWAP, cirq.CNOT),
(0.5 * cirq.FREDKIN, cirq.FREDKIN / 2),
(cirq.FREDKIN * 0.5, cirq.FREDKIN / 2),
))
def test_expressions(expression, expected_result):
assert_linear_combinations_of_gates_are_equal(expression, expected_result)
@pytest.mark.parametrize('gates', (
(cirq.X, cirq.T, cirq.T, cirq.X, cirq.Z),
(cirq.CZ, cirq.XX, cirq.YY, cirq.ZZ),
(cirq.TOFFOLI, cirq.TOFFOLI, cirq.FREDKIN),
))
def test_identity_on_each_two_qubits():
q0, q1, q2, q3 = cirq.LineQubit.range(4)
q0_3, q1_3 = q0.with_dimension(3), q1.with_dimension(3)
assert cirq.IdentityGate(2).on_each([(q0, q1)
]) == [cirq.IdentityGate(2)(q0, q1)]
assert cirq.IdentityGate(2).on_each([(q0, q1), (q2, q3)]) == [
cirq.IdentityGate(2)(q0, q1),
cirq.IdentityGate(2)(q2, q3),
]
assert cirq.IdentityGate(2, (3, 3)).on_each([(q0_3, q1_3)]) == [
cirq.IdentityGate(2, (3, 3))(q0_3, q1_3),
]
assert cirq.IdentityGate(2).on_each(
(q0, q1)) == [cirq.IdentityGate(2)(q0, q1)]
with pytest.raises(ValueError,
match='Inputs to multi-qubit gates must be Sequence'):
cirq.IdentityGate(2).on_each(q0, q1)
with pytest.raises(ValueError,
match='All values in sequence should be Qids'):
cirq.IdentityGate(2).on_each([[(q0, q1)]])
with pytest.raises(ValueError, match='Expected 2 qubits'):
cirq.IdentityGate(2).on_each([(q0, )])
with pytest.raises(ValueError, match='Expected 2 qubits'):
cirq.IdentityGate(2).on_each([(q0, q1, q2)])
@pytest.mark.parametrize(
'gate',
[
cirq.X,
cirq.X ** 0.5,
cirq.rx(np.pi),
cirq.rx(np.pi / 2),
cirq.Z,
cirq.H,
cirq.CNOT,
cirq.SWAP,
cirq.CCZ,
cirq.ControlledGate(cirq.ControlledGate(cirq.CCZ)),
GateUsingWorkspaceForApplyUnitary(),
GateAllocatingNewSpaceForResult(),
cirq.IdentityGate(qid_shape=(3, 4)),
# Single qudit gate with dimension 4.
cirq.MatrixGate(np.kron(*(cirq.unitary(cirq.H),) * 2)),
],
)
def test_controlled_gate_is_consistent(gate: cirq.Gate):
cgate = cirq.ControlledGate(gate)
cirq.testing.assert_implements_consistent_protocols(cgate)
def test_pow_inverse():
assert cirq.inverse(CRestricted, None) is None
assert cirq.pow(CRestricted, 1.5, None) is None
assert cirq.pow(CY, 1.5) == cirq.ControlledGate(cirq.Y ** 1.5)
assert cirq.inverse(CY) == CY ** -1 == CY
def matrix_to_sycamore_operations(
target_qubits: List[cirq.GridQubit],
matrix: np.ndarray) -> Tuple[cirq.OP_TREE, List[cirq.GridQubit]]:
"""A method to convert a unitary matrix to a list of Sycamore operations.
This method will return a list of `cirq.Operation`s using the qubits and (optionally) ancilla
qubits to implement the unitary matrix `matrix` on the target qubits `qubits`.
The operations are also supported by `cirq.google.gate_sets.SYC_GATESET`.
Args:
target_qubits: list of qubits the returned operations will act on. The qubit order defined by the list
is assumed to be used by the operations to implement `matrix`.
matrix: a matrix that is guaranteed to be unitary and of size (2**len(qs), 2**len(qs)).
Returns:
A tuple of operations and ancilla qubits allocated.
Operations: In case the matrix is supported, a list of operations `ops` is returned.
`ops` acts on `qs` qubits and for which `cirq.unitary(ops)` is equal to `matrix` up
to certain tolerance. In case the matrix is not supported, it might return NotImplemented to
reduce the noise in the judge output.
Ancilla qubits: In case ancilla qubits are allocated a list of ancilla qubits. Otherwise
an empty list.
.
"""
converter = cirq.google.ConvertToSycamoreGates()
xmon_converter = cirq.google.ConvertToXmonGates()
increment_unitaries = []
for i in range(1, 10):
inp = np.empty((2**i, 2**i))
inp[1:] = np.eye(2**i)[:-1]
inp[:1] = np.eye(2**i)[-1:]
increment_unitaries.append(inp)
oneQ_unitaries = [(cirq.unitary(cirq.X), cirq.X),
(cirq.unitary(cirq.Y), cirq.Y),
(cirq.unitary(cirq.Z), cirq.Z),
(cirq.unitary(cirq.H), cirq.H),
(cirq.unitary(cirq.S), cirq.S),
(cirq.unitary(cirq.T), cirq.T)]
twoQ_sycamore_unitaries = [(cirq.unitary(cirq.google.SycamoreGate()),
cirq.google.SycamoreGate()),
(cirq.unitary(cirq.IdentityGate(num_qubits=2)),
cirq.IdentityGate(num_qubits=2)),
(cirq.unitary(cirq.XX), cirq.XX),
(cirq.unitary(cirq.YY), cirq.YY)]
twoQ_xmon_unitaries = [(cirq.unitary(cirq.ZZ), cirq.ZZ),
(cirq.unitary(cirq.CX), cirq.CX)]
threeQ_sycamore_unitaries = [
(cirq.unitary(cirq.CCX), cirq.CCX),
(cirq.unitary(cirq.CSWAP), cirq.CSWAP),
# (cirq.unitary(cirq.ControlledGate(cirq.ISWAP ** 0.5)), cirq.ControlledGate(cirq.ISWAP ** 0.5)),
(cirq.unitary(cirq.CCZ), cirq.CCZ),
(cirq.unitary(cirq.IdentityGate(num_qubits=3)),
cirq.IdentityGate(num_qubits=3))
]
fourQ_sycamore_unitaries = [(cirq.unitary(cirq.IdentityGate(num_qubits=4)),
cirq.IdentityGate(num_qubits=4))]
def controlled_sqrt_iswap(qs):
c = cirq.Circuit()
c.append(cirq.ControlledGate(cirq.Y**-0.5).on(qs[0], qs[2]))
c.append(cirq.CCZ.on(qs[0], qs[1], qs[2]))
c.append(cirq.ControlledGate(cirq.Y**0.5).on(qs[0], qs[2]))
c.append(cirq.ControlledGate(cirq.Y**0.5).on(qs[0], qs[1]))
c.append(cirq.CX.on(qs[0], qs[1]))
c.append(cirq.ControlledGate(cirq.Y**-0.5).on(qs[0], qs[1]))
c.append(cirq.CCZ(qs[0], qs[1], qs[2]))
c.append(cirq.ControlledGate(cirq.Y**0.5).on(qs[0], qs[1]))
c.append(cirq.ControlledGate(cirq.T).on(qs[0], qs[1]))
c.append(cirq.ControlledGate(cirq.Y**-0.5).on(qs[0], qs[1]))
c.append(cirq.CCZ(qs[0], qs[1], qs[2]))
c.append(cirq.ControlledGate(cirq.Y**-0.5).on(qs[0], qs[2]))
c.append(cirq.ControlledGate(cirq.Y**0.5).on(qs[0], qs[1]))
c.append(cirq.ControlledGate(cirq.Z**-0.25).on(qs[0], qs[1]))
c.append(cirq.ControlledGate(cirq.Y**0.5).on(qs[0], qs[1]))
c.append(cirq.CX.on(qs[0], qs[1]))
c.append(cirq.CCZ.on(qs[0], qs[1], qs[2]))
c.append(cirq.ControlledGate(cirq.Y**0.5).on(qs[0], qs[2]))
return c
def keep_func(gate):
if cirq.unitary(gate).shape[0] < 5:
return True
else:
return False
def twoQ_sycamore_optimize(target_qubits, gate):
g = gate.on(target_qubits[0], target_qubits[1])
g = converter.convert(g)
c = cirq.Circuit(g)
c = cirq.google.optimized_for_sycamore(c, optimizer_type="sycamore")
return c, []
def twoQ_xmon_optimize(target_qubits, gate):
g = gate.on(target_qubits[0], target_qubits[1])
g = converter.convert(g)
c = cirq.Circuit(g)
c = cirq.google.optimized_for_sycamore(c, optimizer_type="xmon")
return c, []
# TODO: Fix up the CISWAP
def threeQ_sycamore_optimize(target_qubits, gate):
g = gate.on(*target_qubits)
g = converter.convert(g)
c = cirq.Circuit(g)
c = cirq.google.optimized_for_sycamore(c, optimizer_type="xmon")
return c, []
def sycamore_optimize(target_qubits, gate):
g = gate.on(*target_qubits)
g = cirq.decompose(g, keep=keep_func)
c = cirq.Circuit(g)
c = cirq.google.optimized_for_sycamore(c, optimizer_type="sycamore")
return c, []
if matrix.shape[0] == 4:
for twoQ_sycamore_unitary in twoQ_sycamore_unitaries:
if np.isclose(matrix, twoQ_sycamore_unitary[0]).all():
return twoQ_sycamore_optimize(target_qubits,
twoQ_sycamore_unitary[1])
for twoQ_xmon_unitary in twoQ_xmon_unitaries:
if np.isclose(matrix, twoQ_xmon_unitary[0]).all():
return twoQ_xmon_optimize(target_qubits, twoQ_xmon_unitary[1])
if matrix.shape[0] == 8:
# if np.isclose(matrix, cirq.unitary(cirq.ControlledGate(cirq.ISWAP ** 0.5))).all():
# # g = cirq.ControlledGate(cirq.ISWAP ** 0.5).on(*target_qubits)
# # g = cirq.decompose(g)
# # c = controlled_sqrt_iswap(target_qubits)
# g = cirq.FSimGate(-np.pi/4, 0)
# g = cirq.decompose(g.on(*target_qubits))
# c = cirq.Circuit(g)
# return cirq.decompose(c, keep=keep_func), []
for threeQ_sycamore_unitary in threeQ_sycamore_unitaries:
if np.isclose(matrix, threeQ_sycamore_unitary[0]).all():
return threeQ_sycamore_optimize(target_qubits,
threeQ_sycamore_unitary[1])
if len(target_qubits) == 1:
for g in oneQ_unitaries:
if np.isclose(matrix, g[0]).all():
gate = converter.convert(g[1].on(*target_qubits))
return gate, []
def CNOT_toffoli_decomp(bitset, garbage, t, d):
target = t
gates = []
for i in range(1, len(bitset) - 1):
gates.append(cirq.CCX(garbage[-i - d], bitset[-i], target))
target = garbage[-i - d]
for gate in gates:
yield gate
gates.reverse()
yield cirq.CCX(bitset[0], bitset[1], target)
for gate in gates[:-1]:
yield gate
def CNOT_toffoli_decomp(bitset, garbage, t, d):
target = t
gates = []
for i in range(1, len(bitset) - 1):
gates.append(cirq.CCX(garbage[-i - d], bitset[-i], target))
target = garbage[-i - d]
gates.append(cirq.CCX(bitset[0], bitset[1], target))
for gate in gates:
yield gate
gates.reverse()
for gate in gates[1:]:
yield gate
gates.reverse()
for gate in gates[1:]:
yield gate
gates.reverse()
for gate in gates[1:-1]:
yield gate
def decompose_large_CNOT(control_qubits, target, ancilla):
if len(control_qubits) == 0:
return cirq.X(target)
if len(control_qubits) == 1:
return cirq.CX(control_qubits[0], target)
if len(control_qubits) == 2:
return cirq.CCX(control_qubits[0], control_qubits[1], target)
bitset1 = [tq for i, tq in enumerate(control_qubits) if i % 2 == 0]
bitset2 = [tq for i, tq in enumerate(control_qubits) if i % 2 == 1]
bitset2.append(ancilla)
gate1 = CNOT_toffoli_decomp(bitset1, bitset2, ancilla, 1)
gate2 = CNOT_toffoli_decomp(bitset2, bitset1, target, 0)
gate3 = CNOT_toffoli_decomp(bitset1, bitset2, ancilla, 1)
gate4 = CNOT_toffoli_decomp(bitset2, bitset1, target, 0)
return cirq.Circuit([gate1, gate2, gate3, gate4])
if len(target_qubits) == 4:
for fourQ_sycamore_unitary in fourQ_sycamore_unitaries:
if np.isclose(matrix, fourQ_sycamore_unitary[0]).all():
return sycamore_optimize(target_qubits,
fourQ_sycamore_unitary[1])
if np.isclose(matrix,
cirq.unitary(cirq.ControlledGate(cirq.CCX))).all():
control_qubits = target_qubits[:-1]
target = target_qubits[-1]
ancilla = cirq.GridQubit(2, 3)
c = decompose_large_CNOT(control_qubits, target, ancilla)
return cirq.decompose(c), [ancilla]
def increment(qubits):
n_qubits = len(qubits)
ancilla = cirq.GridQubit(2, 3)
c = cirq.Circuit()
for i in range(n_qubits):
control_qubits = qubits[i + 1:]
target = qubits[i]
c.append(decompose_large_CNOT(control_qubits, target, ancilla))
if n_qubits < 3:
return c, []
return c, [ancilla]
def is_adjacent(q1, q2):
return (q1.row == q2.row and np.abs(q1.col - q2.col)
== 1) or (np.abs(q1.row - q2.row) == 1 and q1.col == q2.col)
def swap_path(qs, q1, q2):
path = []
if q1 == q2:
return path
q = q1
while not is_adjacent(q, q2):
if not q2.row - q.row == 0:
row_dir = int((q2.row - q.row) / np.abs(q2.row - q.row))
if cirq.GridQubit(q.row + row_dir, q.col) in qs:
q = cirq.GridQubit(q.row + row_dir, q.col)
path.append(q)
continue
if not q2.col - q.col == 0:
col_dir = int((q2.col - q.col) / np.abs(q2.col - q.col))
q = cirq.GridQubit(q.row, q.col + col_dir)
path.append(q)
return path
def two_q_sycamore(g, q1, q2, qs):
sp = swap_path(qs, q1, q2)
if len(sp) == 0:
yield g
return
q = q1
for i in range(len(sp)):
yield cirq.SWAP(q, sp[i])
q = sp[i]
yield g.gate(q, q2)
sp.reverse()
for i in range(1, len(sp)):
yield cirq.SWAP(q, sp[i])
q = sp[i]
yield cirq.SWAP(q, q1)
for U in increment_unitaries:
if U.shape == matrix.shape:
if np.isclose(U, matrix).all():
if len(target_qubits) >= 7:
c, a = increment(target_qubits)
c = cirq.decompose(c)
# return c, a
cn = cirq.Circuit()
for g in c:
if len(g.qubits) == 1:
cn.append(g)
else:
q1 = g.qubits[0]
q2 = g.qubits[1]
cn.append(
cirq.Circuit(
two_q_sycamore(g, q1, q2, target_qubits)))
return converter.convert(cn), a
else:
c, a = increment(target_qubits)
c = cirq.decompose(c)
return c, a
def isDiag(M):
i, j = np.nonzero(M)
return np.all(i == j)
if isDiag(matrix):
if np.isclose(matrix.diagonal(), 1).all():
return cirq.Circuit(), []
if isDiag(matrix):
diagonal = matrix.diagonal()
diagangles = (-1j * np.log(diagonal)).real
diag_gate = cirq.DiagonalGate(diagangles)
gate = diag_gate(*target_qubits)._decompose_()[1:]
gate = converter.convert(gate)
diag_circuit = cirq.Circuit(gate)
return diag_circuit, []
def pulverize_matrix(m):
# N = 2^n
N = len(m)
L, CS, R = scipy.linalg.cossin(m, p=N / 2, q=N / 2)
if len(m) == 2:
stacked_matrices = np.stack([L, CS, R])
return stacked_matrices
# BREAK DOWN L MATRIX
L1 = L[:round(N / 2), :round(N / 2)]
L2 = L[round(N / 2):, round(N / 2):]
L1_decomp = pulverize_matrix(L1)
L2_decomp = pulverize_matrix(L2)
left_matrices = 1j * np.zeros([
L1_decomp.shape[0], L1_decomp.shape[1] * 2, L1_decomp.shape[2] * 2
])
left_matrices[:, :round(N / 2), :round(N / 2)] += L1_decomp
left_matrices[:, round(N / 2):, round(N / 2):] += L2_decomp
# BREAK DOWN R MATRIX
R1 = R[:round(N / 2), :round(N / 2)]
R2 = R[round(N / 2):, round(N / 2):]
R1_decomp = pulverize_matrix(R1)
R2_decomp = pulverize_matrix(R2)
right_matrices = 1j * np.zeros([
R1_decomp.shape[0], R1_decomp.shape[1] * 2, R1_decomp.shape[2] * 2
])
right_matrices[:, :round(N / 2), :round(N / 2)] += R1_decomp
right_matrices[:, round(N / 2):, round(N / 2):] += R2_decomp
all_matrices = np.concatenate(
[left_matrices, CS[None], right_matrices])
return all_matrices
def get_S_matrix(m):
S = np.zeros([round(2**int(m)), round(2**int(m))]) + 1
cols = [
np.sign(
np.cos(2**(m - 1 - i) * np.pi * np.arange(0, 2**int(m), 1) /
2**int(m) + 10**-6)) for i in range(int(m))
]
for bit in range(len(cols)):
for i in range(len(S)):
if round(2**bit) & i:
S[:, i] *= cols[bit]
return S
def gray_code_changes(m):
return gray_code_changes_r(m) + [m]
def gray_code_changes_r(m):
if m < 0:
return []
return gray_code_changes_r(m - 1) + [m] + gray_code_changes_r(m - 1)
def UCRy(ctrls, target, alphas, S_T_inv, seq):
thetas = np.matmul(S_T_inv, alphas)
gates = []
for i in range(len(seq)):
theta_i = thetas[i]
q_i = ctrls[int(seq[i])]
gates += [cirq.Ry(rads=theta_i)(target)]
gates += [cirq.CNOT(q_i, target)]
return gates
def ry_angle(u):
u_log = 1j * scipy.linalg.logm(u)
return ((2j * u_log[0][1]).real)
def extract_ry_angles(matrix, target_bit, n):
alphas = []
for i in range(len(matrix)):
if not int(2**(n - 1 - target_bit)) & i:
ry_gate = matrix[(i, i + int(2**(n - 1 - target_bit))), :][:, (
i, i + int(2**(n - 1 - target_bit)))]
alphas += [ry_angle(ry_gate)]
alphas = np.array(alphas)
return alphas
def UCRy_gates_from_matrix(matrix, target_bit, qs, n, S_T_inv):
alphas = extract_ry_angles(matrix, target_bit, n)
ctrl_qs = qs[0:int(target_bit)] + qs[int(target_bit) + 1:]
gates = UCRy(ctrl_qs[::-1], qs[int(target_bit)], alphas, S_T_inv,
gray_code_changes(n - 2))
return gates
def arbitrary_diagonal_gate_from_matrix(matrix, qs):
diagonal = matrix.diagonal()
diagangles = (-1j * np.log(diagonal)).real
diag_gate = cirq.DiagonalGate(diagangles)
gates = diag_gate(*qs)._decompose_()[0:]
return (gates)
def arbitrary_operation_from_matrix(U, qs):
n = round(np.log2(len(U)))
S = get_S_matrix(n - 1)
S_T_inv = np.linalg.inv(S.transpose())
matrices = pulverize_matrix(U)
ucry_target_bits = [n - 1 - i for i in gray_code_changes(n - 1)[:-1]]
gates = []
for m_i in range(len(matrices)):
# print(m_i, "/", len(matrices))
if m_i % 2 == 0:
gates = arbitrary_diagonal_gate_from_matrix(matrices[m_i],
qs) + gates
# print(np.sum(np.abs(cirq.unitary(cirq.Circuit(arbitrary_diagonal_gate_from_matrix(matrices[m_i], qs))) - matrices[m_i])))
# print(matrices[m_i])
else:
target_bit = ucry_target_bits[int(m_i / 2)]
gates = UCRy_gates_from_matrix(matrices[m_i], target_bit, qs,
n, S_T_inv) + gates
# print(np.sum(np.abs(cirq.unitary(cirq.Circuit(UCRy_gates_from_matrix(matrices[m_i], target_bit, qs, n, S_T_inv))) - matrices[m_i])))
return gates
gates = arbitrary_operation_from_matrix(matrix, target_qubits)
c = cirq.Circuit()
if len(target_qubits) < 8:
for g in gates:
if len(g.qubits) == 1:
c.append(g)
elif len(g.qubits) == 2:
q1 = g.qubits[0]
q2 = g.qubits[1]
c.append(cirq.Circuit(two_q_sycamore(g, q1, q2,
target_qubits)))
return converter.convert(c), []
else:
c.append(gates)
return c, []
return NotImplemented, []
# Some random points
random_unitary(17323),
random_unitary(99415),
random_unitary(65832),
random_unitary(45373),
random_unitary(27123),
]
ONE_SQRT_ISWAP_UNITARIES = [
*perturbations_gate(cirq.SQRT_ISWAP),
*perturbations_gate(cirq.ISwapPowGate(exponent=-0.5, global_shift=1)),
*perturbations_unitary(random_locals(np.pi / 8, np.pi / 8, 0, seed=80342)),
*perturbations_unitary(random_locals(np.pi / 8, np.pi / 8, 0, seed=83551)),
*perturbations_unitary(random_locals(np.pi / 8, np.pi / 8, 0, seed=52450)),
]
ZERO_UNITARIES = [
*perturbations_gate(cirq.IdentityGate(2)),
*perturbations_unitary(random_locals(0, 0, 0, seed=62933)),
*perturbations_unitary(random_locals(0, 0, 0, seed=50590)),
]
# Lists of seeds for cirq.testing.random_unitary(4, random_state=seed)
# corresponding to different regions in the Weyl chamber and possible
# eigenvalue crossings in the 3-SQRT_ISWAP decomposition
# Key: 1 (fig. 4): x < y + abs(z)
# 2 (fig. 7a): x > pi/8
# 4 (fig. 7b): z < 0
# 8 (fig. 7c): y+abs(z) < pi/8 if x <= pi/8 else y+abs(z) < pi/4
WEYL_REGION_UNITARIES = {
1: list(map(random_unitary, [49903, 84819, 84769])),
3: list(map(random_unitary, [89483, 79607, 96012])),
5: list(map(random_unitary, [31979, 78758, 47661])),
def test_identity_trace_distance_bound():
assert cirq.I._trace_distance_bound_() == 0
assert cirq.IdentityGate(num_qubits=2)._trace_distance_bound_() == 0
expected_expansion = cirq.pauli_expansion(expected)
assert set(actual_expansion.keys()) == set(expected_expansion.keys())
for name in actual_expansion.keys():
assert abs(actual_expansion[name] - expected_expansion[name]) < 1e-12
@pytest.mark.parametrize('expression, expected_result', (
((cirq.X + cirq.Z) / np.sqrt(2), cirq.H),
(cirq.X - cirq.Y, -cirq.Y + cirq.X),
(cirq.X + cirq.S - cirq.X, cirq.S),
(cirq.Y - 2 * cirq.Y, -cirq.Y),
(cirq.Rx(0.2), np.cos(0.1) * cirq.I - 1j * np.sin(0.1) * cirq.X),
(1j * cirq.H * 1j, -cirq.H),
(-1j * cirq.Y, cirq.Ry(np.pi)),
(np.sqrt(-1j) * cirq.S, cirq.Rz(np.pi / 2)),
(0.5 * (cirq.IdentityGate(2) + cirq.XX + cirq.YY + cirq.ZZ), cirq.SWAP),
((cirq.IdentityGate(2) + 1j *
(cirq.XX + cirq.YY) + cirq.ZZ) / 2, cirq.ISWAP),
(cirq.CNOT + 0 * cirq.SWAP, cirq.CNOT),
(0.5 * cirq.FREDKIN, cirq.FREDKIN / 2),
(cirq.FREDKIN * 0.5, cirq.FREDKIN / 2),
(((cirq.X + cirq.Y) / np.sqrt(2))**2, cirq.I),
((cirq.X + cirq.Z)**3, 2 * (cirq.X + cirq.Z)),
((cirq.X + 1j * cirq.Y)**2, cirq.LinearCombinationOfGates({})),
((cirq.X - 1j * cirq.Y)**2, cirq.LinearCombinationOfGates({})),
(((3 * cirq.X - 4 * cirq.Y + 12 * cirq.Z) / 13)**24, cirq.I),
(((3 * cirq.X - 4 * cirq.Y + 12 * cirq.Z) / 13)**25,
(3 * cirq.X - 4 * cirq.Y + 12 * cirq.Z) / 13),
))
def test_gate_expressions(expression, expected_result):
assert_linear_combinations_are_equal(expression, expected_result)
def test_pauli_expansion_notimplemented():
assert cirq.IdentityGate(1, (3, ))._pauli_expansion_() == NotImplemented
def _sample_measure_results(
self,
program: cirq.Circuit,
repetitions: int = 1,
) -> Dict[str, np.ndarray]:
"""Samples from measurement gates in the circuit.
Note that this will execute the circuit 'repetitions' times.
Args:
program: The circuit to sample from.
repetitions: The number of samples to take.
Returns:
A dictionary from measurement gate key to measurement
results. Measurement results are stored in a 2-dimensional
numpy array, the first dimension corresponding to the repetition
and the second to the actual boolean measurement results (ordered
by the qubits being measured.)
Raises:
ValueError: If there are multiple MeasurementGates with the same key,
or if repetitions is negative.
"""
# Add noise to the circuit if a noise model was provided.
all_qubits = program.all_qubits()
program = qsimc.QSimCircuit(
self.noise.noisy_moments(program, sorted(all_qubits))
if self.noise is not cirq.NO_NOISE else program, )
# Compute indices of measured qubits
ordered_qubits = cirq.QubitOrder.DEFAULT.order_for(all_qubits)
num_qubits = len(ordered_qubits)
qubit_map = {
qubit: index
for index, qubit in enumerate(ordered_qubits)
}
# Compute:
# - number of qubits for each measurement key.
# - measurement ops for each measurement key.
# - measurement info for each measurement.
# - total number of measured bits.
measurement_ops = [
op for _, op, _ in program.findall_operations_with_gate_type(
cirq.MeasurementGate)
]
num_qubits_by_key: Dict[str, int] = {}
meas_ops: Dict[str, List[cirq.GateOperation]] = {}
meas_infos: List[MeasInfo] = []
num_bits = 0
for op in measurement_ops:
gate = op.gate
key = cirq.measurement_key_name(gate)
meas_ops.setdefault(key, [])
i = len(meas_ops[key])
meas_ops[key].append(op)
n = len(op.qubits)
if key in num_qubits_by_key:
if n != num_qubits_by_key[key]:
raise ValueError(
f"repeated key {key!r} with different numbers of qubits: "
f"{num_qubits_by_key[key]} != {n}")
else:
num_qubits_by_key[key] = n
meas_infos.append(
MeasInfo(
key=key,
idx=i,
invert_mask=gate.full_invert_mask(),
start=num_bits,
end=num_bits + n,
))
num_bits += n
# Set qsim options
options = {**self.qsim_options}
results = {
key: np.ndarray(shape=(repetitions, len(meas_ops[key]), n),
dtype=int)
for key, n in num_qubits_by_key.items()
}
noisy = _needs_trajectories(program)
if not noisy and program.are_all_measurements_terminal(
) and repetitions > 1:
# Measurements must be replaced with identity gates to sample properly.
# Simply removing them may omit qubits from the circuit.
for i in range(len(program.moments)):
program.moments[i] = cirq.Moment(
op if not isinstance(op.gate, cirq.MeasurementGate) else
[cirq.IdentityGate(1).on(q) for q in op.qubits]
for op in program.moments[i])
translator_fn_name = "translate_cirq_to_qsim"
options["c"], _ = self._translate_circuit(
program,
translator_fn_name,
cirq.QubitOrder.DEFAULT,
)
options["s"] = self.get_seed()
raw_results = self._sim_module.qsim_sample_final(
options, repetitions)
full_results = np.array([[
bool(result & (1 << q)) for q in reversed(range(num_qubits))
] for result in raw_results])
for key, oplist in meas_ops.items():
for i, op in enumerate(oplist):
meas_indices = [qubit_map[qubit] for qubit in op.qubits]
invert_mask = op.gate.full_invert_mask()
# Apply invert mask to re-ordered results
results[
key][:,
i, :] = full_results[:,
meas_indices] ^ invert_mask
else:
if noisy:
translator_fn_name = "translate_cirq_to_qtrajectory"
sampler_fn = self._sim_module.qtrajectory_sample
else:
translator_fn_name = "translate_cirq_to_qsim"
sampler_fn = self._sim_module.qsim_sample
options["c"], _ = self._translate_circuit(
program,
translator_fn_name,
cirq.QubitOrder.DEFAULT,
)
measurements = np.empty(shape=(repetitions, num_bits), dtype=int)
for i in range(repetitions):
options["s"] = self.get_seed()
measurements[i] = sampler_fn(options)
for m in meas_infos:
results[m.key][:, m.idx, :] = (measurements[:, m.start:m.end]
^ m.invert_mask)
return results
def test_identity_str():
assert str(cirq.IdentityGate(1)) == 'I'
assert str(cirq.IdentityGate(2)) == 'I(2)'
# Qid shape is not included in str
assert str(cirq.IdentityGate(1, (3, ))) == 'I'
assert str(cirq.IdentityGate(2, (1, 2))) == 'I(2)'
def test_identity_unitary(num_qubits):
i = cirq.IdentityGate(num_qubits)
assert np.allclose(cirq.unitary(i), np.identity(2**num_qubits))
def test_identity_repr():
assert repr(cirq.IdentityGate(2)) == 'cirq.IdentityGate(2)'
assert repr(cirq.I) == 'cirq.I'
assert repr(cirq.IdentityGate(2, (2, 3))) == 'cirq.IdentityGate(2, (2, 3))'
def test_identity_repr():
assert repr(cirq.IdentityGate(2)) == 'cirq.IdentityGate(2)'
def test_subcircuit_identity_does_not_join():
args = create_container(qs2)
assert len(set(args.values())) == 3
args.apply_operation(cirq.CircuitOperation(cirq.FrozenCircuit(cirq.IdentityGate(2)(q0, q1))))
assert len(set(args.values())) == 3
assert args[q0] is not args[q1]
def test_kak_vector_negative_atol():
with pytest.raises(ValueError, match='must be positive'):
cirq.kak_vector(np.eye(4), atol=-1.0)
def test_kak_vector_input_not_unitary():
with pytest.raises(ValueError, match='must correspond to'):
cirq.kak_vector(np.zeros((4, 4)))
@pytest.mark.parametrize(
'unitary',
[
cirq.testing.random_unitary(4),
cirq.unitary(cirq.IdentityGate(2)),
cirq.unitary(cirq.SWAP),
cirq.unitary(cirq.SWAP**0.25),
cirq.unitary(cirq.ISWAP),
cirq.unitary(cirq.CZ**0.5),
cirq.unitary(cirq.CZ),
],
)
def test_kak_decompose(unitary: np.ndarray):
kak = cirq.kak_decomposition(unitary)
circuit = cirq.Circuit(kak._decompose_(cirq.LineQubit.range(2)))
np.testing.assert_allclose(cirq.unitary(circuit), unitary, atol=1e-8)
assert len(circuit) == 5
assert len(list(circuit.all_operations())) == 8
def test_cirq_qsim_all_supported_gates():
q0 = cirq.GridQubit(1, 1)
q1 = cirq.GridQubit(1, 0)
q2 = cirq.GridQubit(0, 1)
q3 = cirq.GridQubit(0, 0)
circuit = cirq.Circuit(
cirq.Moment([
cirq.H(q0),
cirq.H(q1),
cirq.H(q2),
cirq.H(q3),
]),
cirq.Moment([
cirq.T(q0),
cirq.T(q1),
cirq.T(q2),
cirq.T(q3),
]),
cirq.Moment([
cirq.CZPowGate(exponent=0.7, global_shift=0.2)(q0, q1),
cirq.CXPowGate(exponent=1.2, global_shift=0.4)(q2, q3),
]),
cirq.Moment([
cirq.XPowGate(exponent=0.3, global_shift=1.1)(q0),
cirq.YPowGate(exponent=0.4, global_shift=1)(q1),
cirq.ZPowGate(exponent=0.5, global_shift=0.9)(q2),
cirq.HPowGate(exponent=0.6, global_shift=0.8)(q3),
]),
cirq.Moment([
cirq.CX(q0, q2),
cirq.CZ(q1, q3),
]),
cirq.Moment([
cirq.X(q0),
cirq.Y(q1),
cirq.Z(q2),
cirq.S(q3),
]),
cirq.Moment([
cirq.XXPowGate(exponent=0.4, global_shift=0.7)(q0, q1),
cirq.YYPowGate(exponent=0.8, global_shift=0.5)(q2, q3),
]),
cirq.Moment([cirq.I(q0),
cirq.I(q1),
cirq.IdentityGate(2)(q2, q3)]),
cirq.Moment([
cirq.rx(0.7)(q0),
cirq.ry(0.2)(q1),
cirq.rz(0.4)(q2),
cirq.PhasedXPowGate(phase_exponent=0.8,
exponent=0.6,
global_shift=0.3)(q3),
]),
cirq.Moment([
cirq.ZZPowGate(exponent=0.3, global_shift=1.3)(q0, q2),
cirq.ISwapPowGate(exponent=0.6, global_shift=1.2)(q1, q3),
]),
cirq.Moment([
cirq.XPowGate(exponent=0.1, global_shift=0.9)(q0),
cirq.YPowGate(exponent=0.2, global_shift=1)(q1),
cirq.ZPowGate(exponent=0.3, global_shift=1.1)(q2),
cirq.HPowGate(exponent=0.4, global_shift=1.2)(q3),
]),
cirq.Moment([
cirq.SwapPowGate(exponent=0.2, global_shift=0.9)(q0, q1),
cirq.PhasedISwapPowGate(phase_exponent=0.8, exponent=0.6)(q2, q3),
]),
cirq.Moment([
cirq.PhasedXZGate(x_exponent=0.2,
z_exponent=0.3,
axis_phase_exponent=1.4)(q0),
cirq.T(q1),
cirq.H(q2),
cirq.S(q3),
]),
cirq.Moment([
cirq.SWAP(q0, q2),
cirq.XX(q1, q3),
]),
cirq.Moment([
cirq.rx(0.8)(q0),
cirq.ry(0.9)(q1),
cirq.rz(1.2)(q2),
cirq.T(q3),
]),
cirq.Moment([
cirq.YY(q0, q1),
cirq.ISWAP(q2, q3),
]),
cirq.Moment([
cirq.T(q0),
cirq.Z(q1),
cirq.Y(q2),
cirq.X(q3),
]),
cirq.Moment([
cirq.FSimGate(0.3, 1.7)(q0, q2),
cirq.ZZ(q1, q3),
]),
cirq.Moment([
cirq.ry(1.3)(q0),
cirq.rz(0.4)(q1),
cirq.rx(0.7)(q2),
cirq.S(q3),
]),
cirq.Moment([
cirq.IdentityGate(4).on(q0, q1, q2, q3),
]),
cirq.Moment([
cirq.CCZPowGate(exponent=0.7, global_shift=0.3)(q2, q0, q1),
]),
cirq.Moment([
cirq.CCXPowGate(exponent=0.4, global_shift=0.6)(
q3, q1, q0).controlled_by(q2, control_values=[0]),
]),
cirq.Moment([
cirq.rx(0.3)(q0),
cirq.ry(0.5)(q1),
cirq.rz(0.7)(q2),
cirq.rx(0.9)(q3),
]),
cirq.Moment([
cirq.TwoQubitDiagonalGate([0.1, 0.2, 0.3, 0.4])(q0, q1),
]),
cirq.Moment([
cirq.ThreeQubitDiagonalGate([0.5, 0.6, 0.7, 0.8, 0.9, 1, 1.2,
1.3])(q1, q2, q3),
]),
cirq.Moment([
cirq.CSwapGate()(q0, q3, q1),
]),
cirq.Moment([
cirq.rz(0.6)(q0),
cirq.rx(0.7)(q1),
cirq.ry(0.8)(q2),
cirq.rz(0.9)(q3),
]),
cirq.Moment([
cirq.TOFFOLI(q3, q2, q0),
]),
cirq.Moment([
cirq.FREDKIN(q1, q3, q2),
]),
cirq.Moment([
cirq.MatrixGate(
np.array([[0, -0.5 - 0.5j, -0.5 - 0.5j, 0],
[0.5 - 0.5j, 0, 0, -0.5 + 0.5j],
[0.5 - 0.5j, 0, 0, 0.5 - 0.5j],
[0, -0.5 - 0.5j, 0.5 + 0.5j, 0]]))(q0, q1),
cirq.MatrixGate(
np.array([[0.5 - 0.5j, 0, 0, -0.5 + 0.5j],
[0, 0.5 - 0.5j, -0.5 + 0.5j, 0],
[0, -0.5 + 0.5j, -0.5 + 0.5j, 0],
[0.5 - 0.5j, 0, 0, 0.5 - 0.5j]]))(q2, q3),
]),
cirq.Moment([
cirq.MatrixGate(np.array([[1, 0], [0, 1j]]))(q0),
cirq.MatrixGate(np.array([[0, -1j], [1j, 0]]))(q1),
cirq.MatrixGate(np.array([[0, 1], [1, 0]]))(q2),
cirq.MatrixGate(np.array([[1, 0], [0, -1]]))(q3),
]),
cirq.Moment([
cirq.riswap(0.7)(q0, q1),
cirq.givens(1.2)(q2, q3),
]),
cirq.Moment([
cirq.H(q0),
cirq.H(q1),
cirq.H(q2),
cirq.H(q3),
]),
)
simulator = cirq.Simulator()
cirq_result = simulator.simulate(circuit)
qsim_simulator = qsimcirq.QSimSimulator()
qsim_result = qsim_simulator.simulate(circuit)
assert cirq.linalg.allclose_up_to_global_phase(qsim_result.state_vector(),
cirq_result.state_vector())
import numpy as np
import cirq
import cirq_google
ALL_POSSIBLE_FSIM_GATES = [
cirq.CZPowGate,
cirq.FSimGate,
cirq.PhasedFSimGate,
cirq.ISwapPowGate,
cirq.PhasedISwapPowGate,
cirq.IdentityGate,
]
THETA, PHI = sympy.Symbol("theta"), sympy.Symbol("phi")
VALID_IDENTITY = [
(cirq.CZ ** THETA, {THETA: 2}),
(cirq.IdentityGate(2), {}),
(cirq.FSimGate(THETA, PHI), {THETA: 0, PHI: 0}),
(cirq.PhasedFSimGate(THETA, 0, 0, 0, PHI), {THETA: 0, PHI: 0}),
(cirq.ISWAP ** THETA, {THETA: 4}),
(cirq.PhasedISwapPowGate(exponent=THETA, phase_exponent=PHI), {THETA: 4, PHI: 2}),
]
VALID_CZPOW_GATES = [
(cirq.CZPowGate(exponent=THETA, global_shift=2.5), {THETA: 0.1}),
(cirq.CZ ** THETA, {THETA: 0.5}),
(cirq.FSimGate(theta=THETA, phi=0.1), {THETA: 0}),
(cirq.FSimGate(theta=2 * np.pi, phi=PHI), {PHI: -0.4}),
(
cirq.PhasedFSimGate.from_fsim_rz(
theta=THETA,
phi=10,
def _convert_to_identity(
self, g: POSSIBLE_FSIM_GATES) -> Optional[cirq.IdentityGate]:
cg = self._convert_to_fsim(g)
return (None if (cg is None or not self._approx_eq_or_symbol(
(cg.theta, cg.phi), (0, 0))) else cirq.IdentityGate(2))
