def _act_on_(self, args: Any):
from cirq import sim, ops
if isinstance(args, sim.ActOnStabilizerCHFormArgs):
(axe, ) = args.axes
if args.state._measure(axe, args.prng):
ops.X._act_on_(args)
return True
if isinstance(args, sim.ActOnStateVectorArgs):
# Do a silent measurement.
measurements, _ = sim.measure_state_vector(
args.target_tensor,
args.axes,
out=args.target_tensor,
qid_shape=args.target_tensor.shape,
)
result = measurements[0]
# Use measurement result to zero the qid.
if result:
zero = args.subspace_index(0)
other = args.subspace_index(result)
args.target_tensor[zero] = args.target_tensor[other]
args.target_tensor[other] = 0
return True
return NotImplemented
def _act_on_(self, args: Any) -> bool:
from cirq import sim
if isinstance(args, sim.ActOnStateVectorArgs):
invert_mask = self.full_invert_mask()
bits, _ = sim.measure_state_vector(
args.target_tensor,
args.axes,
out=args.target_tensor,
qid_shape=args.target_tensor.shape,
seed=args.prng)
corrected = [
bit ^ (bit < 2 and mask)
for bit, mask in zip(bits, invert_mask)
]
args.record_measurement_result(self.key, corrected)
return True
if isinstance(args, sim.clifford.ActOnCliffordTableauArgs):
invert_mask = self.full_invert_mask()
bits = [args.tableau._measure(q, args.prng) for q in args.axes]
corrected = [
bit ^ (bit < 2 and mask)
for bit, mask in zip(bits, invert_mask)
]
args.record_measurement_result(self.key, corrected)
return True
return NotImplemented
def _act_on_(self, args: 'cirq.ActOnArgs', qubits: Sequence['cirq.Qid']):
from cirq import sim, ops
if isinstance(args, sim.ActOnStabilizerCHFormArgs):
axe = args.qubit_map[qubits[0]]
if args.state._measure(axe, args.prng):
ops.X._act_on_(args, qubits)
return True
if isinstance(args, sim.ActOnStateVectorArgs):
# Do a silent measurement.
axes = args.get_axes(qubits)
measurements, _ = sim.measure_state_vector(
args.target_tensor,
axes,
out=args.target_tensor,
qid_shape=args.target_tensor.shape,
)
result = measurements[0]
# Use measurement result to zero the qid.
if result:
zero = args.subspace_index(axes, 0)
other = args.subspace_index(axes, result)
args.target_tensor[zero] = args.target_tensor[other]
args.target_tensor[other] = 0
return True
return NotImplemented
def _perform_measurement(self, qubits: Sequence['cirq.Qid']) -> List[int]:
"""Delegates the call to measure the state vector."""
bits, _ = sim.measure_state_vector(
self.target_tensor,
self.get_axes(qubits),
out=self.target_tensor,
qid_shape=self.target_tensor.shape,
seed=self.prng,
)
return bits
def _perform_measurement(self) -> List[int]:
"""Delegates the call to measure the state vector."""
bits, _ = sim.measure_state_vector(
self.target_tensor,
self.axes,
out=self.target_tensor,
qid_shape=self.target_tensor.shape,
seed=self.prng,
)
return bits
def measure(
self, axes: Sequence[int], seed: 'cirq.RANDOM_STATE_OR_SEED_LIKE' = None
) -> List[int]:
"""Measures the state vector.
Args:
axes: The axes to measure.
seed: The random number seed to use.
Returns:
The measurements in order.
"""
bits, _ = sim.measure_state_vector(
self._state_vector, axes, out=self._state_vector, qid_shape=self._qid_shape, seed=seed
)
return bits
