def test_circuit(self):
# construct the original circuit
circ_orig = circuit.Circuit(2, [
circuit.Operation(circuit.PhasedXGate(0.47, 0.11), [0]),
circuit.Operation(circuit.ControlledZGate(), [0, 1]),
circuit.Operation(circuit.RotZGate(0.42), [1]),
])
# export the circuit to Cirq
circ_exported = cirq_converter.export_to_cirq(circ_orig)
# check the type of circ_exported
self.assertIsInstance(circ_exported, cirq.Circuit)
# TODO(tfoesel):
# a direct comparison between circ_orig and circ_exported would be better
# reimport the circuit from Cirq
circ_reimported = cirq_converter.import_from_cirq(circ_exported)
# check that the number of operations and the gate types are conserved
self.assertEqual(len(circ_orig), len(circ_reimported))
self.assertEqual(
[type(operation.get_gate()) for operation in circ_orig],
[type(operation.get_gate()) for operation in circ_orig]
)
def main(argv):
if len(argv) > 1:
raise app.UsageError('Too many command-line arguments.')
rule = rules.ExchangeCommutingOperations()
circ = circuit.Circuit(7, [
circuit.Operation(circuit.ControlledZGate(), [0, 1]),
circuit.Operation(circuit.RotZGate(0.42), [0]),
circuit.Operation(circuit.ControlledZGate(), [1, 2]),
circuit.Operation(circuit.PhasedXGate(0.815, 0.4711), [1]),
circuit.Operation(circuit.ControlledZGate(), [0, 1]),
circuit.Operation(circuit.ControlledZGate(), [1, 2])
])
transformations = tuple(rule.scan(circ))
# Show 4 transformations.
print(transformations)
def import_from_cirq(obj):
"""Imports a gate, operation or circuit from Cirq.
Args:
obj: the Cirq object to be imported.
Returns:
the imported object (an instance of circuit.Circuit, circuit.Operation, or
a subclass of circuit.Gate).
Raises:
TypeError: if import is not supported for the given type.
ValueError: if the object cannot be imported successfully.
"""
if isinstance(obj, cirq.PhasedXPowGate):
return circuit.PhasedXGate(obj.exponent * np.pi,
obj.phase_exponent * np.pi)
elif isinstance(obj, cirq.ZPowGate):
return circuit.RotZGate(obj.exponent * np.pi)
elif isinstance(obj, cirq.CZPowGate):
if not np.isclose(np.mod(obj.exponent, 2.0), 1.0):
raise ValueError('partial ControlledZ gates are not supported')
return circuit.ControlledZGate()
elif isinstance(obj,
(cirq.SingleQubitMatrixGate, cirq.TwoQubitMatrixGate)):
return circuit.MatrixGate(cirq.unitary(obj))
elif isinstance(obj, cirq.GateOperation):
return circuit.Operation(import_from_cirq(obj.gate),
[qubit.x for qubit in obj.qubits])
elif isinstance(obj, cirq.Circuit):
qubits = obj.all_qubits()
if not all(isinstance(qubit, cirq.LineQubit) for qubit in qubits):
qubit_types = set(type(qubit) for qubit in qubits)
qubit_types = sorted(qubit_type.__name__
for qubit_type in qubit_types)
raise ValueError(
'import is supported for circuits on LineQubits only'
' [found qubit type(s): %s]' % ', '.join(qubit_types))
return circuit.Circuit(
max(qubit.x for qubit in qubits) + 1, [
import_from_cirq(operation)
for operation in itertools.chain.from_iterable(obj)
])
else:
raise TypeError('unknown type: %s' % type(obj).__name__)
class TestExportAndImport(parameterized.TestCase):
@parameterized.parameters([
circuit.PhasedXGate(0.47, 0.11),
circuit.RotZGate(0.42),
circuit.ControlledZGate(),
circuit.MatrixGate(stats.unitary_group.rvs(2)), # random 1-qubit unitary
circuit.MatrixGate(stats.unitary_group.rvs(4)), # random 2-qubit unitary
circuit.MatrixGate(stats.unitary_group.rvs(8)), # random 3-qubit unitary
circuit.MatrixGate(stats.unitary_group.rvs(16)) # random 4-qubit unitary
])
def test_gates(self, gate_orig):
# export the gate to Cirq
gate_exported = cirq_converter.export_to_cirq(gate_orig)
# check that the gates are equivalent
self.assertIsInstance(gate_exported, cirq.Gate)
np.testing.assert_allclose(
gate_orig.get_pauli_transform(),
circuit.compute_pauli_transform(cirq.unitary(gate_exported)),
rtol=1e-5, atol=1e-8
)
# reimport the gate from Cirq
gate_reimported = cirq_converter.import_from_cirq(gate_exported)
# check that the original and the reimported gate are equivalent
self.assertIs(type(gate_reimported), type(gate_orig))
self.assertEqual(
gate_reimported.get_num_qubits(),
gate_orig.get_num_qubits()
)
np.testing.assert_allclose(
gate_orig.get_operator(),
gate_reimported.get_operator(),
rtol=1e-5, atol=1e-8
)
@parameterized.parameters([1, 2])
def test_operations(self, num_qubits):
# construct the original operation
op_orig = circuit.Operation(
circuit.MatrixGate(stats.unitary_group.rvs(2 ** num_qubits)),
np.random.permutation(10)[:num_qubits]
)
# export the operation to Cirq
op_exported = cirq_converter.export_to_cirq(op_orig)
# check that the operations are equivalent
self.assertIsInstance(op_exported, cirq.GateOperation)
np.testing.assert_allclose(
op_orig.get_gate().get_operator(),
cirq.unitary(op_exported.gate),
rtol=1e-5, atol=1e-8
)
self.assertTupleEqual(
op_orig.get_qubits(),
tuple(qubit.x for qubit in op_exported.qubits)
)
# reimport the operation from Cirq
op_reimported = cirq_converter.import_from_cirq(op_exported)
# check that the original and the reimported operation are equivalent
self.assertIs(type(op_reimported), circuit.Operation)
self.assertEqual(op_reimported.get_num_qubits(), op_orig.get_num_qubits())
np.testing.assert_allclose(
op_orig.get_gate().get_operator(),
op_reimported.get_gate().get_operator()
)
self.assertTupleEqual(op_orig.get_qubits(), op_reimported.get_qubits())
def test_circuit(self):
# construct the original circuit
circ_orig = circuit.Circuit(2, [
circuit.Operation(circuit.PhasedXGate(0.47, 0.11), [0]),
circuit.Operation(circuit.ControlledZGate(), [0, 1]),
circuit.Operation(circuit.RotZGate(0.42), [1]),
])
# export the circuit to Cirq
circ_exported = cirq_converter.export_to_cirq(circ_orig)
# check the type of circ_exported
self.assertIsInstance(circ_exported, cirq.Circuit)
# TODO(tfoesel):
# a direct comparison between circ_orig and circ_exported would be better
# reimport the circuit from Cirq
circ_reimported = cirq_converter.import_from_cirq(circ_exported)
# check that the number of operations and the gate types are conserved
self.assertEqual(len(circ_orig), len(circ_reimported))
self.assertEqual(
[type(operation.get_gate()) for operation in circ_orig],
[type(operation.get_gate()) for operation in circ_orig]
)
def test_export_unknown_type_error(self):
with self.assertRaisesRegex(TypeError, r'unknown type: range'):
cirq_converter.export_to_cirq(range(42))
def test_import_unknown_type_error(self):
with self.assertRaisesRegex(TypeError, r'unknown type: range'):
cirq_converter.import_from_cirq(range(42))
def test_import_partial_cz_error(self):
partial_cz = cirq.CZPowGate(exponent=0.37)
with self.assertRaisesRegex(
ValueError,
r'partial ControlledZ gates are not supported'):
cirq_converter.import_from_cirq(partial_cz)
def test_import_non_line_qubits_error(self):
qubit_a = cirq.GridQubit(0, 1)
qubit_b = cirq.GridQubit(0, 2)
circ = cirq.Circuit(
cirq.PhasedXPowGate(exponent=0.47, phase_exponent=0.11).on(qubit_a),
cirq.CZPowGate(exponent=1.0).on(qubit_a, qubit_b),
cirq.ZPowGate(exponent=0.42).on(qubit_b)
)
with self.assertRaisesRegex(
ValueError,
r'import is supported for circuits on LineQubits only \[found qubit'
r' type\(s\): GridQubit\]'):
cirq_converter.import_from_cirq(circ)
def parse_gates(gates, *gate_types):
"""Parses gates into expected gate types."""
if len(gates) != len(gate_types):
raise ValueError(
'inconsistent length of gates and gate_types (%d vs %d)' %
(len(gates), len(gate_types)))
parsed_gates = []
for gate_in, gate_type in zip(gates, gate_types):
if not isinstance(gate_in, circuit.Gate):
raise TypeError('%s is not a Gate' % type(gate_in).__name__)
if not isinstance(gate_type, type):
raise TypeError('%s instance is not a type' %
type(gate_type).__name__)
if not issubclass(gate_type, circuit.Gate):
raise TypeError('%s is not a Gate type' % gate_type.__name__)
if gate_type == circuit.PhasedXGate:
if gate_in.get_num_qubits() != 1:
return None
elif isinstance(gate_in, circuit.PhasedXGate):
gate_out = gate_in
elif isinstance(gate_in, circuit.RotZGate):
if gate_in.is_identity(phase_invariant=True):
gate_out = circuit.PhasedXGate(0.0, 0.0)
else:
return None
else:
pauli_transform = gate_in.get_pauli_transform()
if np.isclose(pauli_transform[2, 2], -1.0):
gate_out = circuit.PhasedXGate(
np.pi, 0.5 * np.arctan2(pauli_transform[0, 1],
pauli_transform[0, 0]))
else:
rotation = scipy.spatial.transform.Rotation.from_dcm(
pauli_transform)
alpha, beta, gamma = rotation.as_euler('zxz')
if np.isclose(alpha, -gamma):
gate_out = circuit.PhasedXGate(beta, -alpha)
else:
return None
elif gate_type == circuit.RotZGate:
if gate_in.get_num_qubits() != 1:
return None
elif isinstance(gate_in, circuit.RotZGate):
gate_out = gate_in
elif isinstance(gate_in, circuit.PhasedXGate):
if gate_in.is_identity(phase_invariant=True):
gate_out = circuit.RotZGate(0.0)
else:
return None
else:
pauli_transform = gate_in.get_pauli_transform()
if np.isclose(pauli_transform[2, 2], 1.0):
gate_out = circuit.RotZGate(
np.arctan2(pauli_transform[1, 0], pauli_transform[0,
0]))
else:
return None
elif gate_type == circuit.ControlledZGate:
if gate_in.get_num_qubits() != 2:
return None
elif isinstance(gate_in, circuit.ControlledZGate):
gate_out = gate_in
elif gate_in == circuit.ControlledZGate():
gate_out = circuit.ControlledZGate()
else:
return None
else:
raise ValueError('unknown Gate type: %s' % gate_type.__name__)
assert isinstance(gate_out, gate_type)
parsed_gates.append(gate_out)
assert len(parsed_gates) == len(gates)
return parsed_gates
