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_export_large_matrix_gate_error(self):
matrix_gate = circuit.MatrixGate(stats.unitary_group.rvs(8))
with self.assertRaisesRegex(
ValueError,
r'MatrixGate for 3 qubits not supported \(Cirq has matrix gates only up'
r' to 2 qubits\)'):
cirq_converter.export_to_cirq(matrix_gate)
class InvertCnot(PointTransformationRule):
"""Invert the direction of a CNOT, creating additional Hadamard gates."""
hadamard = circuit.MatrixGate(np.sqrt(0.5) * np.array([
[1.0, 1.0],
[1.0, -1.0]
]))
cnot = circuit.MatrixGate(np.array([
[1.0, 0.0, 0.0, 0.0],
[0.0, 1.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 1.0],
[0.0, 0.0, 1.0, 0.0]
]))
inverted_cnot = cnot.permute_qubits([1, 0])
def __init__(self, architecture):
self.architecture = architecture
def accept(self, operation):
# implements abstract method from parent class PointTransformationRule
gate = operation.get_gate()
return gate == self.cnot or gate == self.inverted_cnot
def perform(self, operation):
# implements abstract method from parent class PointTransformationRule
if not self.accept(operation):
raise RuleNotApplicableError
hadamard_pauli_transform = self.hadamard.get_pauli_transform()
hadamard_on_both = itertools.product(
operation.get_qubits(),
self.architecture.decompose_single_qubit_gate(hadamard_pauli_transform)
)
hadamard_on_both = [
circuit.Operation(gate, [qubit])
for qubit, gate in hadamard_on_both
]
inverted = operation.permute_qubits([1, 0])
return hadamard_on_both + [inverted] + hadamard_on_both
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 _random_operation(*qubits):
return circuit.Operation(
circuit.MatrixGate(stats.unitary_group.rvs(2 ** len(qubits))),
qubits
)
