def hhl_circuit(A, C, t, register_size, *input_prep_gates):
"""
Constructs the HHL circuit.
Args:
A: The input Hermitian matrix.
C: Algorithm parameter, see above.
t: Algorithm parameter, see above.
register_size: The size of the eigenvalue register.
memory_basis: The basis to measure the memory in, one of 'x', 'y', 'z'.
input_prep_gates: A list of gates to be applied to |0> to generate the
desired input state |b>.
Returns:
The HHL circuit. The ancilla measurement has key 'a' and the memory
measurement is in key 'm'. There are two parameters in the circuit,
`exponent` and `phase_exponent` corresponding to a possible rotation
applied before the measurement on the memory with a
`cirq.PhasedXPowGate`.
"""
ancilla = cirq.LineQubit(0)
# to store eigenvalues of the matrix
register = [cirq.LineQubit(i + 1) for i in range(register_size)]
# to store input and output vectors
memory = cirq.LineQubit(register_size + 1)
c = cirq.Circuit()
hs = HamiltonianSimulation(A, t)
pe = PhaseEstimation(register_size + 1, hs)
c.append([gate(memory) for gate in input_prep_gates])
c.append([
pe(*(register + [memory])),
EigenRotation(register_size + 1, C, t)(*(register + [ancilla])),
pe(*(register + [memory]))**-1,
cirq.measure(ancilla, key='a')
])
c.append([
cirq.PhasedXPowGate(
exponent=sympy.Symbol('exponent'),
phase_exponent=sympy.Symbol('phase_exponent'))(memory),
cirq.measure(memory, key='m')
])
return c
def test_phase_by():
g = cirq.PhasedXPowGate(phase_exponent=0.25)
g2 = cirq.phase_by(g, 0.25, 0)
assert g2 == cirq.PhasedXPowGate(phase_exponent=0.75)
g = cirq.PhasedXPowGate(phase_exponent=0)
g2 = cirq.phase_by(g, 0.125, 0)
assert g2 == cirq.PhasedXPowGate(phase_exponent=0.25)
g = cirq.PhasedXPowGate(phase_exponent=0.5)
g2 = cirq.phase_by(g, 0.125, 0)
assert g2 == cirq.PhasedXPowGate(phase_exponent=0.75)
def test_toggles_measurements():
a = cirq.NamedQubit('a')
b = cirq.NamedQubit('b')
x = sympy.Symbol('x')
# Single.
assert_optimizes(before=quick_circuit(
[cirq.PhasedXPowGate(phase_exponent=0.25).on(a)],
[cirq.measure(a, b)],
),
expected=quick_circuit(
[],
[cirq.measure(a, b, invert_mask=(True, ))],
))
assert_optimizes(before=quick_circuit(
[cirq.PhasedXPowGate(phase_exponent=0.25).on(b)],
[cirq.measure(a, b)],
),
expected=quick_circuit(
[],
[cirq.measure(a, b, invert_mask=(False, True))],
))
assert_optimizes(before=quick_circuit(
[cirq.PhasedXPowGate(phase_exponent=x).on(b)],
[cirq.measure(a, b)],
),
expected=quick_circuit(
[],
[cirq.measure(a, b, invert_mask=(False, True))],
),
eject_parameterized=True)
# Multiple.
assert_optimizes(before=quick_circuit(
[cirq.PhasedXPowGate(phase_exponent=0.25).on(a)],
[cirq.PhasedXPowGate(phase_exponent=0.25).on(b)],
[cirq.measure(a, b)],
),
expected=quick_circuit(
[],
[],
[cirq.measure(a, b, invert_mask=(True, True))],
))
# Xmon.
assert_optimizes(before=quick_circuit(
[cirq.PhasedXPowGate(phase_exponent=0.25).on(a)],
[cirq.measure(a, b, key='t')],
),
expected=quick_circuit(
[],
[cirq.measure(a, b, invert_mask=(True, ), key='t')],
))
def decompose_swap_into_syc(a: cirq.Qid, b: cirq.Qid):
"""Decompose SWAP into sycamore gates using precomputed coefficients"""
yield cirq.PhasedXPowGate(phase_exponent=0.44650378384076217, exponent=0.8817921214052824).on(a)
yield cirq.PhasedXPowGate(phase_exponent=-0.7656774060816165, exponent=0.6628666504604785).on(b)
yield google.SYC.on(a, b)
yield cirq.PhasedXPowGate(phase_exponent=-0.6277589946716742, exponent=0.5659160932099687).on(a)
yield google.SYC.on(a, b)
yield cirq.PhasedXPowGate(phase_exponent=0.28890767199499257, exponent=0.4340839067900317).on(b)
yield cirq.PhasedXPowGate(phase_exponent=-0.22592784059288928).on(a)
yield google.SYC.on(a, b)
yield cirq.PhasedXPowGate(phase_exponent=-0.4691261557936808, exponent=0.7728525693920243).on(a)
yield cirq.PhasedXPowGate(phase_exponent=-0.8150261316932077, exponent=0.11820787859471782).on(
b
)
yield (cirq.Z ** -0.7384700844660306).on(b)
yield (cirq.Z ** -0.7034535141382525).on(a)
def test_phased_x_pow_gate_test(self):
"""Test 1 PhasedXPowGate decomposition."""
t = sympy.Symbol('t')
r = sympy.Symbol('r')
q = cirq.GridQubit(0, 0)
circuit = cirq.Circuit(
cirq.PhasedXPowGate(phase_exponent=np.random.random() * r,
exponent=np.random.random() * t).on(q))
inputs = util.convert_to_tensor([circuit])
outputs = tfq_ps_util_ops.tfq_ps_decompose(inputs)
decomposed_programs = util.from_tensor(outputs)
rand_resolver = {'t': np.random.random(), 'r': np.random.random()}
self.assertAllClose(cirq.unitary(
cirq.resolve_parameters(circuit, rand_resolver)),
cirq.unitary(
cirq.resolve_parameters(decomposed_programs[0],
rand_resolver)),
atol=1e-5)
def hhl_circuit(A, C, t, register_size, *input_prep_gates):
"""
HHL 회로를 구성합니다.
Args:
A: 에르미트 행렬.
C: 알고리즘 매개변수, 위 설명 참고.
t: 알고리즘 매개변수, 위 설명 참고.
register_size: 고유값 레지스터의 크기.
memory_basis: 'x', 'y', 'z' 중 하나로 메모리 큐비트를 측정할 기저.
input_prep_gates: |0> 상태에 가할 게이트들의 리스트로 원하는 입력 상태 |b>에 해당.
Returns:
HHL 회로를 반환. 보조 큐비트 측정은 키값 'a'를, 메모리 큐비트의 측정은 키값 'm'을
갖습니다. 회로에는 두 가지 매개변수가 있습니다. `exponent`와 `phase_exponent`는
메모리에 대한 측정이 이루어지기 전에 `cirq.PhasedXPowGate`로 가해질 가능한 회전에
대응됩니다.
"""
ancilla = cirq.LineQubit(0)
# 행렬의 고유값을 저장하기 위한 레지스터.
register = [cirq.LineQubit(i + 1) for i in range(register_size)]
# 입력과 출력 벡터를 저장하기 위한 메모리 큐비트.
memory = cirq.LineQubit(register_size + 1)
c = cirq.Circuit()
hs = HamiltonianSimulation(A, t)
pe = PhaseEstimation(register_size + 1, hs)
c.append([gate(memory) for gate in input_prep_gates])
c.append([
pe(*(register + [memory])),
EigenRotation(register_size + 1, C, t)(*(register + [ancilla])),
pe(*(register + [memory]))**-1,
cirq.measure(ancilla, key='a')
])
c.append([
cirq.PhasedXPowGate(
exponent=sympy.Symbol('exponent'),
phase_exponent=sympy.Symbol('phase_exponent'))(memory),
cirq.measure(memory, key='m')
])
return c
def test_str_repr():
assert str(cirq.PhasedXPowGate(phase_exponent=0.25)) == 'PhasedX(0.25)'
assert str(cirq.PhasedXPowGate(phase_exponent=0.25,
exponent=0.5)) == 'PhasedX(0.25)^0.5'
cirq.testing.assert_equivalent_repr(cirq.PhasedXPowGate(phase_exponent=0))
cirq.testing.assert_equivalent_repr(
cirq.PhasedXPowGate(phase_exponent=0.1, exponent=0.3,
global_shift=0.7))
cirq.testing.assert_equivalent_repr(
cirq.PhasedXPowGate(phase_exponent=0.1, exponent=0.3))
assert repr(
cirq.PhasedXPowGate(
phase_exponent=0.25, exponent=4, global_shift=0.125) ==
'cirq.PhasedXPowGate(phase_exponent=0.25, '
'exponent=4, global_shift=0.125)')
assert repr(cirq.PhasedXPowGate(
phase_exponent=0.25)) == 'cirq.PhasedXPowGate(phase_exponent=0.25)'
def test_validate_operation_existing_qubits():
d = ion_device(3)
d.validate_operation(
cirq.GateOperation(cirq.XX, (cirq.LineQubit(0), cirq.LineQubit(1))))
d.validate_operation(cirq.Z(cirq.LineQubit(0)))
d.validate_operation(
cirq.PhasedXPowGate(phase_exponent=0.75,
exponent=0.25,
global_shift=0.1).on(cirq.LineQubit(1)))
with pytest.raises(ValueError):
d.validate_operation(cirq.CZ(cirq.LineQubit(0), cirq.LineQubit(-1)))
with pytest.raises(ValueError):
d.validate_operation(cirq.Z(cirq.LineQubit(-1)))
with pytest.raises(ValueError):
d.validate_operation(cirq.CZ(cirq.LineQubit(1), cirq.LineQubit(1)))
with pytest.raises(ValueError):
d.validate_operation(cirq.X(cirq.NamedQubit("q1")))
def test_zxz_qiskit(self):
"""Test the special gate ZXZ (from cirq PhasedXPowGate) for qiskit
"""
#random.seed(RNDSEED)
beta = random.uniform(-1, 1) # rotation angles (in multiples of pi)
gamma = random.uniform(-1, 1) # rotation angles (in multiples of pi)
qubits = qiskit.QuantumRegister(1)
circ = qiskit.QuantumCircuit(qubits)
circ.rz(-beta * pi, qubits[0])
circ.rx(gamma * pi, qubits[0])
circ.rz(beta * pi, qubits[0])
z_circuit = Circuit(circ)
u1 = z_circuit.to_unitary()
circ2 = cirq.PhasedXPowGate(phase_exponent=beta, exponent=gamma)
u2 = circ2._unitary_()
self.assertTrue(compare_unitary(u1, u2, tol=1e-10))
def test_parameterize(resolve_fn, global_shift):
parameterized_gate = cirq.PhasedXPowGate(exponent=sympy.Symbol('a'),
phase_exponent=sympy.Symbol('b'),
global_shift=global_shift)
assert cirq.pow(parameterized_gate,
5) == cirq.PhasedXPowGate(exponent=sympy.Symbol('a') * 5,
phase_exponent=sympy.Symbol('b'),
global_shift=global_shift)
assert cirq.unitary(parameterized_gate, default=None) is None
assert cirq.is_parameterized(parameterized_gate)
q = cirq.NamedQubit("q")
parameterized_decomposed_circuit = cirq.Circuit(
cirq.decompose(parameterized_gate(q)))
for resolver in cirq.Linspace('a', 0, 2, 10) * cirq.Linspace(
'b', 0, 2, 10):
resolved_gate = resolve_fn(parameterized_gate, resolver)
assert resolved_gate == cirq.PhasedXPowGate(
exponent=resolver.value_of('a'),
phase_exponent=resolver.value_of('b'),
global_shift=global_shift,
)
np.testing.assert_allclose(
cirq.unitary(resolved_gate(q)),
cirq.unitary(resolve_fn(parameterized_decomposed_circuit,
resolver)),
atol=1e-8,
)
unparameterized_gate = cirq.PhasedXPowGate(exponent=0.1,
phase_exponent=0.2,
global_shift=global_shift)
assert not cirq.is_parameterized(unparameterized_gate)
assert cirq.is_parameterized(unparameterized_gate**sympy.Symbol('a'))
assert cirq.is_parameterized(unparameterized_gate**(sympy.Symbol('a') + 1))
resolver = {'a': 0.5j}
with pytest.raises(ValueError, match='complex value'):
resolve_fn(
cirq.PhasedXPowGate(exponent=sympy.Symbol('a'),
phase_exponent=0.2,
global_shift=global_shift),
resolver,
)
with pytest.raises(ValueError, match='complex value'):
resolve_fn(
cirq.PhasedXPowGate(exponent=0.1,
phase_exponent=sympy.Symbol('a'),
global_shift=global_shift),
resolver,
)
def export_to_cirq(obj):
"""Imports a gate, operation or circuit from Cirq.
Args:
obj: the object to be exported to Cirq.
Returns:
the exported Cirq object (an instance of cirq.Circuit, cirq.GateOperation,
or a subclass of cirq.Gate).
Raises:
TypeError: if export is not supported for the given type.
ValueError: if the object cannot be exported successfully.
"""
if isinstance(obj, circuit.PhasedXGate):
return cirq.PhasedXPowGate(exponent=obj.get_rotation_angle() / np.pi,
phase_exponent=obj.get_phase_angle() /
np.pi)
elif isinstance(obj, circuit.RotZGate):
return cirq.ZPowGate(exponent=obj.get_rotation_angle() / np.pi)
elif isinstance(obj, circuit.ControlledZGate):
return cirq.CZPowGate(exponent=1.0)
elif isinstance(obj, circuit.MatrixGate):
num_qubits = obj.get_num_qubits()
operator = obj.get_operator()
if num_qubits == 1:
return cirq.SingleQubitMatrixGate(operator)
elif num_qubits == 2:
return cirq.TwoQubitMatrixGate(operator)
else:
raise ValueError('MatrixGate for %d qubits not supported (Cirq has'
' matrix gates only up to 2 qubits)' % num_qubits)
elif isinstance(obj, circuit.Operation):
return cirq.GateOperation(
export_to_cirq(obj.get_gate()),
[cirq.LineQubit(qubit) for qubit in obj.get_qubits()])
elif isinstance(obj, circuit.Circuit):
return cirq.Circuit(export_to_cirq(operation) for operation in obj)
else:
raise TypeError('unknown type: %s' % type(obj).__name__)
def test_serialize_deserialize_phased_x_half_pi_gate(phase_exponent):
proto = op_proto({
'gate': {
'id': 'xy_half_pi'
},
'args': {
'axis_half_turns': {
'arg_value': {
'float_value': phase_exponent
}
}
},
'qubits': [{
'id': '1_2'
}],
})
q = cirq.GridQubit(1, 2)
op = cirq.PhasedXPowGate(exponent=0.5, phase_exponent=phase_exponent)(q)
assert HALF_PI_GATE_SET.serialize_op(op) == proto
assert HALF_PI_GATE_SET.deserialize_op(proto) == op
def test_phase_by():
g = cirq.PhasedXPowGate(phase_exponent=0.25)
g2 = cirq.phase_by(g, 0.25, 0)
assert g2 == cirq.PhasedXPowGate(phase_exponent=0.75)
cirq.testing.assert_phase_by_is_consistent_with_unitary(g)
g = cirq.PhasedXPowGate(phase_exponent=0)
g2 = cirq.phase_by(g, 0.125, 0)
assert g2 == cirq.PhasedXPowGate(phase_exponent=0.25)
cirq.testing.assert_phase_by_is_consistent_with_unitary(g)
g = cirq.PhasedXPowGate(phase_exponent=0.5)
g2 = cirq.phase_by(g, 0.125, 0)
assert g2 == cirq.PhasedXPowGate(phase_exponent=0.75)
cirq.testing.assert_phase_by_is_consistent_with_unitary(g)
def test_deserialize_xy_parameterized():
serialized_op = op_proto({
'gate': {
'id': 'xy'
},
'args': {
'axis_half_turns': {
'symbol': 'a'
},
'half_turns': {
'symbol': 'b'
}
},
'qubits': [{
'id': '1_2'
}],
})
q = cirq.GridQubit(1, 2)
expected = cirq.PhasedXPowGate(exponent=sympy.Symbol('b'),
phase_exponent=sympy.Symbol('a'))(q)
assert SINGLE_QUBIT_GATE_SET.deserialize_op(serialized_op) == expected
def test_deserialize_exp_w_parameterized():
serialized_op = op_proto({
'gate': {
'id': 'xy'
},
'args': {
'axis_half_turns': {
'symbol': 'x'
},
'half_turns': {
'symbol': 'y'
}
},
'qubits': [{
'id': '1_2'
}],
})
q = cirq.GridQubit(1, 2)
expected = cirq.PhasedXPowGate(exponent=sympy.Symbol('y'),
phase_exponent=sympy.Symbol('x'))(q)
assert cg.XMON.deserialize_op(serialized_op) == expected
def test_convert_to_ion_gates():
q0 = cirq.GridQubit(0, 0)
q1 = cirq.GridQubit(0, 1)
op = cirq.CNOT(q0, q1)
circuit = cirq.Circuit()
with pytest.raises(TypeError):
cirq.ion.ConvertToIonGates().convert_one(circuit)
with pytest.raises(TypeError):
cirq.ion.ConvertToIonGates().convert_one(NoUnitary().on(q0))
no_unitary_op = NoUnitary().on(q0)
assert cirq.ion.ConvertToIonGates(ignore_failures=True).convert_one(no_unitary_op) == [
no_unitary_op
]
rx = cirq.ion.ConvertToIonGates().convert_one(OtherX().on(q0))
rop = cirq.ion.ConvertToIonGates().convert_one(op)
assert cirq.approx_eq(rx, [cirq.PhasedXPowGate(phase_exponent=1.0).on(cirq.GridQubit(0, 0))])
assert cirq.approx_eq(
rop,
[
cirq.ry(np.pi / 2).on(op.qubits[0]),
cirq.ms(np.pi / 4).on(op.qubits[0], op.qubits[1]),
cirq.rx(-1 * np.pi / 2).on(op.qubits[0]),
cirq.rx(-1 * np.pi / 2).on(op.qubits[1]),
cirq.ry(-1 * np.pi / 2).on(op.qubits[0]),
],
)
rcnot = cirq.ion.ConvertToIonGates().convert_one(OtherCNOT().on(q0, q1))
assert cirq.approx_eq(
[op for op in rcnot if len(op.qubits) > 1],
[cirq.ms(-0.5 * np.pi / 2).on(q0, q1)],
atol=1e-4,
)
assert cirq.allclose_up_to_global_phase(
cirq.unitary(cirq.Circuit(rcnot)), cirq.unitary(OtherCNOT().on(q0, q1))
)
def test_approx_eq():
assert cirq.approx_eq(
cirq.PhasedXPowGate(phase_exponent=0.1, exponent=0.2, global_shift=0.3),
cirq.PhasedXPowGate(phase_exponent=0.1, exponent=0.2, global_shift=0.3),
atol=1e-4,
)
assert not cirq.approx_eq(
cirq.PhasedXPowGate(phase_exponent=0.1, exponent=0.2, global_shift=0.4),
cirq.PhasedXPowGate(phase_exponent=0.1, exponent=0.2, global_shift=0.3),
atol=1e-4,
)
assert cirq.approx_eq(
cirq.PhasedXPowGate(phase_exponent=0.1, exponent=0.2, global_shift=0.4),
cirq.PhasedXPowGate(phase_exponent=0.1, exponent=0.2, global_shift=0.3),
atol=0.2,
)
def decompose_iswap_into_syc(a: cirq.Qid, b: cirq.Qid):
"""Decompose ISWAP into sycamore gates using precomputed coefficients"""
yield cirq.PhasedXPowGate(phase_exponent=-0.27250925776964596,
exponent=0.2893438375555899).on(a)
yield google.SYC.on(a, b)
yield cirq.PhasedXPowGate(phase_exponent=0.8487591858680898,
exponent=0.9749387200813147).on(b),
yield cirq.PhasedXPowGate(phase_exponent=-0.3582574564210601).on(a),
yield google.SYC.on(a, b)
yield cirq.PhasedXPowGate(phase_exponent=0.9675022326694225,
exponent=0.6908986856555526).on(a),
yield google.SYC.on(a, b),
yield cirq.PhasedXPowGate(phase_exponent=0.9161706861686068,
exponent=0.14818318325264102).on(b),
yield cirq.PhasedXPowGate(phase_exponent=0.9408341606787907).on(a),
yield (cirq.Z**-1.1551880579397293).on(b),
yield (cirq.Z**0.31848343246696365).on(a),
def test_convert_to_ion_gates():
q0 = cirq.GridQubit(0, 0)
q1 = cirq.GridQubit(0, 1)
op = cirq.CNOT(q0, q1)
circuit = cirq.Circuit()
with pytest.raises(TypeError):
cirq.ion.ConvertToIonGates().convert_one(circuit)
with pytest.raises(TypeError):
cirq.ion.ConvertToIonGates().convert_one(NoUnitary().on(q0))
no_unitary_op = NoUnitary().on(q0)
assert cirq.ion.ConvertToIonGates(
ignore_failures=True).convert_one(no_unitary_op) == [no_unitary_op]
rx = cirq.ion.ConvertToIonGates().convert_one(OtherX().on(q0))
rop = cirq.ion.ConvertToIonGates().convert_one(op)
rcnot = cirq.ion.ConvertToIonGates().convert_one(OtherCNOT().on(q0, q1))
assert rx == [(cirq.X**1.0).on(cirq.GridQubit(0, 0))]
assert rop == [
cirq.Ry(np.pi / 2).on(op.qubits[0]),
cirq.ion.MS(np.pi / 4).on(op.qubits[0], op.qubits[1]),
cirq.ops.Rx(-1 * np.pi / 2).on(op.qubits[0]),
cirq.ops.Rx(-1 * np.pi / 2).on(op.qubits[1]),
cirq.ops.Ry(-1 * np.pi / 2).on(op.qubits[0])
]
assert rcnot == [
cirq.PhasedXPowGate(phase_exponent=-0.75,
exponent=0.5).on(cirq.GridQubit(0, 0)),
(cirq.X**-0.25).on(cirq.GridQubit(0, 1)),
cirq.T.on(cirq.GridQubit(0, 0)),
cirq.MS(-0.5 * np.pi / 2).on(cirq.GridQubit(0,
0), cirq.GridQubit(0, 1)),
(cirq.Y**0.5).on(cirq.GridQubit(0, 0)),
(cirq.X**-0.25).on(cirq.GridQubit(0, 1)),
(cirq.Z**-0.75).on(cirq.GridQubit(0, 0))
]
def simulate(sim_type: str,
num_qubits: int,
num_gates: int,
num_prefix_qubits: int = 0,
use_processes: bool = False) -> None:
""""Runs the simulator."""
circuit = cirq.Circuit(device=test_device)
for _ in range(num_gates):
which = np.random.choice(['expz', 'expw', 'exp11'])
if which == 'expw':
q1 = cirq.GridQubit(0, np.random.randint(num_qubits))
circuit.append(
cirq.PhasedXPowGate(
phase_exponent=np.random.random(),
exponent=np.random.random()
).on(q1))
elif which == 'expz':
q1 = cirq.GridQubit(0, np.random.randint(num_qubits))
circuit.append(
cirq.Z(q1)**np.random.random())
elif which == 'exp11':
q1 = cirq.GridQubit(0, np.random.randint(num_qubits - 1))
q2 = cirq.GridQubit(0, q1.col + 1)
circuit.append(cirq.CZ(q1, q2)**np.random.random())
circuit.append([
cirq.measure(cirq.GridQubit(0, np.random.randint(num_qubits)),
key='meas')
])
if sim_type == _XMON:
options = cg.XmonOptions(num_shards=2 ** num_prefix_qubits,
use_processes=use_processes)
cg.XmonSimulator(options).run(circuit)
elif sim_type == _UNITARY:
circuit.final_wavefunction(initial_state=0)
elif sim_type == _DENSITY:
cirq.DensityMatrixSimulator().run(circuit)
def test_serialize_xy_parameterized_axis_half_turns():
gate = cirq.PhasedXPowGate(exponent=0.25, phase_exponent=sympy.Symbol('a'))
q = cirq.GridQubit(1, 2)
expected = op_proto({
'gate': {
'id': 'xy'
},
'args': {
'axis_half_turns': {
'symbol': 'a'
},
'half_turns': {
'arg_value': {
'float_value': 0.25
}
},
},
'qubits': [{
'id': '1_2'
}],
})
assert SINGLE_QUBIT_GATE_SET.serialize_op(gate.on(q)) == expected
def test_serialize_exp_w_parameterized_axis_half_turns():
gate = cirq.PhasedXPowGate(exponent=0.25, phase_exponent=sympy.Symbol('x'))
q = cirq.GridQubit(1, 2)
expected = {
'gate': {
'id': 'xy'
},
'args': {
'axis_half_turns': {
'symbol': 'x'
},
'half_turns': {
'arg_value': {
'float_value': 0.25
}
},
},
'qubits': [{
'id': '1_2'
}]
}
assert cg.XMON.serialize_op_dict(gate.on(q)) == expected
def xmon_op_from_proto(proto: operations_pb2.Operation) -> cirq.Operation:
"""Convert the proto to the corresponding operation.
See protos in api/google/v1 for specification of the protos.
Args:
proto: Operation proto.
Returns:
The operation.
Raises:
ValueError: If the proto has an operation that is invalid.
"""
param = _parameterized_value_from_proto
qubit = _qubit_from_proto
if proto.HasField('exp_w'):
exp_w = proto.exp_w
return cirq.PhasedXPowGate(
exponent=param(exp_w.half_turns),
phase_exponent=param(exp_w.axis_half_turns),
).on(qubit(exp_w.target))
if proto.HasField('exp_z'):
exp_z = proto.exp_z
return cirq.Z(qubit(exp_z.target))**param(exp_z.half_turns)
if proto.HasField('exp_11'):
exp_11 = proto.exp_11
return cirq.CZ(qubit(exp_11.target1),
qubit(exp_11.target2))**param(exp_11.half_turns)
if proto.HasField('measurement'):
meas = proto.measurement
return cirq.MeasurementGate(num_qubits=len(meas.targets),
key=meas.key,
invert_mask=tuple(meas.invert_mask)).on(
*[qubit(q) for q in meas.targets])
raise ValueError(f'invalid operation: {proto}')
def simulate(sim_type: str,
num_qubits: int,
num_gates: int,
run_repetitions: int = 1) -> None:
"""Runs the simulator."""
circuit = cirq.Circuit()
for _ in range(num_gates):
which = np.random.choice(['expz', 'expw', 'exp11'])
if which == 'expw':
q1 = cirq.GridQubit(0, np.random.randint(num_qubits))
circuit.append(
cirq.PhasedXPowGate(phase_exponent=np.random.random(),
exponent=np.random.random()).on(q1))
elif which == 'expz':
q1 = cirq.GridQubit(0, np.random.randint(num_qubits))
circuit.append(cirq.Z(q1)**np.random.random())
elif which == 'exp11':
q1 = cirq.GridQubit(0, np.random.randint(num_qubits - 1))
q2 = cirq.GridQubit(0, q1.col + 1)
circuit.append(cirq.CZ(q1, q2)**np.random.random())
circuit.append([
cirq.measure(*[cirq.GridQubit(0, i) for i in range(num_qubits)],
key='meas')
])
if sim_type == _DENSITY:
for i in range(num_qubits):
circuit.append(cirq.H(cirq.GridQubit(0, i)))
circuit.append(cirq.measure(cirq.GridQubit(0, i), key=f"meas{i}."))
if sim_type == _UNITARY:
circuit.final_state_vector(initial_state=0,
ignore_terminal_measurements=True,
dtype=np.complex64)
elif sim_type == _DENSITY:
cirq.DensityMatrixSimulator().run(circuit, repetitions=run_repetitions)
def test_zxz_pyquil(self):
"""Test the special gate ZXZ (from cirq PhasedXPowGate) for pyquil
"""
#random.seed(RNDSEED)
beta = random.uniform(-1, 1) # rotation angles (in multiples of pi)
gamma = random.uniform(-1, 1) # rotation angles (in multiples of pi)
circ1 = pyquil.quil.Program(RZ(-beta * pi, 0), RX(gamma * pi, 0),
RZ(beta * pi, 0))
cirq_gate = cirq.PhasedXPowGate(phase_exponent=beta, exponent=gamma)
cirq_circuit = cirq.Circuit()
q = cirq.LineQubit(0)
cirq_circuit.append([cirq_gate(q)],
strategy=cirq.circuits.InsertStrategy.EARLIEST)
z_circuit = Circuit(cirq_circuit)
circ2 = z_circuit.to_pyquil()
# desired unitary
u = np.array([[cos(gamma*pi/2),-sin(beta*pi)*sin(gamma*pi/2)-1j*cos(beta*pi)*sin(gamma*pi/2)],\
[sin(beta*pi)*sin(gamma*pi/2)-1j*cos(beta*pi)*sin(gamma*pi/2),cos(gamma*pi/2)]])
u1 = Circuit(circ1).to_unitary()
u2 = Circuit(circ2).to_unitary()
u3 = cirq_gate._unitary_()
if compare_unitary(u1, u2, tol=1e-10) == False:
print('u1={}'.format(u1))
print('u2={}'.format(u2))
if compare_unitary(u2, u3, tol=1e-10) == False:
print('u2={}'.format(u2))
print('u3={}'.format(u3))
if compare_unitary(u3, u, tol=1e-10) == False:
print('u2={}'.format(u2))
print('u3={}'.format(u3))
self.assertTrue(compare_unitary(u1, u2, tol=1e-10))
self.assertTrue(compare_unitary(u2, u3, tol=1e-10))
self.assertTrue(compare_unitary(u3, u, tol=1e-10))
def test_new_init():
g = cirq.PhasedXPowGate(phase_exponent=0.75,
exponent=0.25,
global_shift=0.1)
assert g.phase_exponent == 0.75
assert g.exponent == 0.25
assert g._global_shift == 0.1
assert isinstance(cirq.PhasedXPowGate(phase_exponent=0), cirq.XPowGate)
assert isinstance(cirq.PhasedXPowGate(phase_exponent=1), cirq.XPowGate)
assert isinstance(cirq.PhasedXPowGate(phase_exponent=0.5), cirq.YPowGate)
assert isinstance(cirq.PhasedXPowGate(phase_exponent=1.5), cirq.YPowGate)
x = cirq.PhasedXPowGate(phase_exponent=0, exponent=0.1, global_shift=0.2)
assert isinstance(x, cirq.XPowGate)
assert x.exponent == 0.1
assert x._global_shift == 0.2
y = cirq.PhasedXPowGate(phase_exponent=0.5, exponent=0.1, global_shift=0.2)
assert isinstance(y, cirq.YPowGate)
assert y.exponent == 0.1
assert y._global_shift == 0.2
def test_deserialize_exp_w_parameterized():
with cirq.testing.assert_deprecated('SerializableGateSet',
deadline='v0.16',
count=1):
serialized_op = op_proto({
'gate': {
'id': 'xy'
},
'args': {
'axis_half_turns': {
'symbol': 'x'
},
'half_turns': {
'symbol': 'y'
}
},
'qubits': [{
'id': '1_2'
}],
})
q = cirq.GridQubit(1, 2)
expected = cirq.PhasedXPowGate(exponent=sympy.Symbol('y'),
phase_exponent=sympy.Symbol('x'))(q)
assert cg.XMON.deserialize_op(serialized_op) == expected
def serialize(serializer: str, num_gates: int, nesting_depth: int) -> int:
"""Runs a round-trip of the serializer."""
circuit = cirq.Circuit()
for _ in range(num_gates):
which = np.random.choice(['expz', 'expw', 'exp11'])
if which == 'expw':
q1 = cirq.GridQubit(0, np.random.randint(NUM_QUBITS))
circuit.append(
cirq.PhasedXPowGate(
phase_exponent=np.random.random(), exponent=np.random.random()
).on(q1)
)
elif which == 'expz':
q1 = cirq.GridQubit(0, np.random.randint(NUM_QUBITS))
circuit.append(cirq.Z(q1) ** np.random.random())
elif which == 'exp11':
q1 = cirq.GridQubit(0, np.random.randint(NUM_QUBITS - 1))
q2 = cirq.GridQubit(0, q1.col + 1)
circuit.append(cirq.CZ(q1, q2) ** np.random.random())
cs = [circuit]
for _ in range(1, nesting_depth):
fc = cs[-1].freeze()
cs.append(cirq.Circuit(fc.to_op(), fc.to_op()))
test_circuit = cs[-1]
if serializer == _JSON:
json_data = cirq.to_json(test_circuit)
assert json_data is not None
data_size = len(json_data)
cirq.read_json(json_text=json_data)
elif serializer == _JSON_GZIP:
gzip_data = cirq.to_json_gzip(test_circuit)
assert gzip_data is not None
data_size = len(gzip_data)
cirq.read_json_gzip(gzip_raw=gzip_data)
return data_size
def test_cancels_other_full_w():
q = cirq.NamedQubit('q')
assert_optimizes(
before=quick_circuit(
[cirq.PhasedXPowGate(phase_exponent=0.25).on(q)],
[cirq.PhasedXPowGate(phase_exponent=0.25).on(q)],
),
expected=quick_circuit(
[],
[],
))
assert_optimizes(
before=quick_circuit(
[cirq.PhasedXPowGate(phase_exponent=0.25).on(q)],
[cirq.PhasedXPowGate(phase_exponent=0.125).on(q)],
),
expected=quick_circuit(
[],
[cirq.Z(q)**-0.25],
))
assert_optimizes(
before=quick_circuit(
[cirq.X(q)],
[cirq.PhasedXPowGate(phase_exponent=0.25).on(q)],
),
expected=quick_circuit(
[],
[cirq.Z(q)**0.5],
))
assert_optimizes(
before=quick_circuit(
[cirq.PhasedXPowGate(phase_exponent=0.25).on(q)],
[cirq.X(q)],
),
expected=quick_circuit(
[],
[cirq.Z(q)**-0.5],
))
def test_absorbs_z():
q = cirq.NamedQubit('q')
# Full Z.
assert_optimizes(
before=quick_circuit(
[cirq.PhasedXPowGate(phase_exponent=0.125).on(q)],
[cirq.Z(q)],
),
expected=quick_circuit(
[cirq.PhasedXPowGate(phase_exponent=0.625).on(q)],
[],
))
# Partial Z.
assert_optimizes(
before=quick_circuit(
[cirq.PhasedXPowGate(phase_exponent=0.125).on(q)],
[cirq.S(q)],
),
expected=quick_circuit(
[cirq.PhasedXPowGate(phase_exponent=0.375).on(q)],
[],
))
# Multiple Zs.
assert_optimizes(
before=quick_circuit(
[cirq.PhasedXPowGate(phase_exponent=0.125).on(q)],
[cirq.S(q)],
[cirq.T(q)**-1],
),
expected=quick_circuit(
[cirq.PhasedXPowGate(phase_exponent=0.25).on(q)],
[],
[],
))
