def test_tensor_or():
saving_backend = DummyEngine(save_commands=True)
main_engine = MainEngine(backend=saving_backend,
engine_list=[DummyEngine()])
gate = Rx(0.6)
qubit0 = Qubit(main_engine, 0)
qubit1 = Qubit(main_engine, 1)
qubit2 = Qubit(main_engine, 2)
# Option 1:
_metagates.Tensor(gate) | ([qubit0, qubit1, qubit2], )
# Option 2:
_metagates.Tensor(gate) | [qubit0, qubit1, qubit2]
received_commands = []
# Remove Allocate and Deallocate gates
for cmd in saving_backend.received_commands:
if not (isinstance(cmd.gate, FastForwardingGate)
or isinstance(cmd.gate, ClassicalInstructionGate)):
received_commands.append(cmd)
# Check results
assert len(received_commands) == 6
qubit_ids = []
for cmd in received_commands:
assert len(cmd.qubits) == 1
assert cmd.gate == gate
qubit_ids.append(cmd.qubits[0][0].id)
assert sorted(qubit_ids) == [0, 0, 1, 1, 2, 2]
def test_tensored_gate_invalid():
qb0 = WeakQubitRef(None, idx=0)
qb1 = WeakQubitRef(None, idx=1)
with pytest.raises(ValueError):
_metagates.Tensor(Y) | (qb0, qb1)
with pytest.raises(ValueError):
_metagates.Tensor(Y) | qb0
def test_tensor_comparison():
gate1 = _metagates.Tensor(Rx(0.6))
gate2 = _metagates.Tensor(Rx(0.6 + 4 * math.pi))
assert gate1 == gate2
assert gate1 != Rx(0.6)
def test_tensor_get_inverse():
gate = _metagates.Tensor(Rx(0.6))
inverse = gate.get_inverse()
assert isinstance(inverse, _metagates.Tensor)
assert inverse._gate == Rx(-0.6 + 4 * math.pi)
def test_tensor_str():
gate = _metagates.Tensor(Y)
assert str(gate) == "Tensor(" + str(Y) + ")"
def test_tensor_init():
gate = _metagates.Tensor(Y)
assert gate._gate == Y
