def test_controlled_op_to_operations_omits_negligible_global_phase():
qc = cirq.QubitId()
qt = cirq.QubitId()
operations = cirq.controlled_op_to_operations(
control=qc, target=qt, operation=cirq.H.matrix(), tolerance=0.0001)
assert operations == [cirq.Y(qt)**-0.25, cirq.CZ(qc, qt), cirq.Y(qt)**0.25]
def test_controlled_op_to_operations_equivalent_on_known_and_random(mat):
qc = cirq.NamedQubit('c')
qt = cirq.NamedQubit('qt')
operations = cirq.controlled_op_to_operations(
control=qc, target=qt, operation=mat)
actual_effect = _operations_to_matrix(operations, (qc, qt))
intended_effect = cirq.kron_with_controls(cirq.CONTROL_TAG, mat)
assert cirq.allclose_up_to_global_phase(actual_effect, intended_effect)
def test_controlled_op_to_operations_equivalent_on_known_and_random(mat):
qc = cirq.QubitId()
qt = cirq.QubitId()
operations = cirq.controlled_op_to_operations(
control=qc, target=qt, operation=mat)
actual_effect = _operations_to_matrix(operations, (qc, qt))
intended_effect = cirq.kron_with_controls(cirq.CONTROL_TAG, mat)
assert cirq.allclose_up_to_global_phase(actual_effect, intended_effect)
def test_controlled_op_to_operations_omits_negligible_global_phase():
qc = cirq.QubitId()
qt = cirq.QubitId()
operations = cirq.controlled_op_to_operations(control=qc,
target=qt,
operation=cirq.H.matrix(),
tolerance=0.0001)
assert operations == [cirq.Y(qt)**-0.25, cirq.CZ(qc, qt), cirq.Y(qt)**0.25]
def test_controlled_op_to_operations_omits_negligible_global_phase():
qc = cirq.NamedQubit('c')
qt = cirq.NamedQubit('qt')
operations = cirq.controlled_op_to_operations(
control=qc,
target=qt,
operation=cirq.unitary(cirq.H),
tolerance=0.0001)
assert operations == [cirq.Y(qt)**-0.25, cirq.CZ(qc, qt), cirq.Y(qt)**0.25]
def test_controlled_op_to_operations_concrete_case():
c = cirq.NamedQubit('c')
t = cirq.NamedQubit('t')
operations = cirq.controlled_op_to_operations(
control=c,
target=t,
operation=np.array([[1, 1j], [1j, 1]]) * np.sqrt(0.5),
tolerance=0.0001)
assert operations == [cirq.Y(t)**-0.5, cirq.CZ(c, t)**1.5,
cirq.Z(c)**0.25, cirq.Y(t)**0.5]
def test_controlled_op_to_operations_concrete_case():
c = cirq.NamedQubit('c')
t = cirq.NamedQubit('t')
operations = cirq.controlled_op_to_operations(
control=c,
target=t,
operation=np.array([[1, 1j], [1j, 1]]) * np.sqrt(0.5),
tolerance=0.0001)
assert operations == [
cirq.Y(t)**-0.5,
cirq.CZ(c, t)**1.5,
cirq.Z(c)**0.25,
cirq.Y(t)**0.5
]
def test_controlled_op_to_operations_concrete_case():
c = cirq.NamedQubit('c')
t = cirq.NamedQubit('t')
expected = [cirq.Y(t)**-0.5, cirq.CZ(c, t)**1.5,
cirq.Z(c)**0.25, cirq.Y(t)**0.5]
operations = cirq.controlled_op_to_operations(
control=c,
target=t,
operation=np.array([[1, 1j], [1j, 1]]) * np.sqrt(0.5),
tolerance=0.0001)
# Test closeness as opposed to equality to avoid precision errors
for actual_op, expected_op in zip(operations, expected):
assert cirq.allclose_up_to_global_phase(cirq.unitary(actual_op),
cirq.unitary(expected_op),
atol=1e-8)
