def measure(
*target: 'cirq.Qid',
key: Union[str, value.MeasurementKey] = '',
invert_mask: Tuple[bool, ...] = (),
) -> raw_types.Operation:
"""Returns a single MeasurementGate applied to all the given qubits.
The qubits are measured in the computational basis.
Args:
*target: The qubits that the measurement gate should measure.
key: The string key of the measurement. If this is empty, defaults
to a comma-separated list of the target qubits' str values.
invert_mask: A list of Truthy or Falsey values indicating whether
the corresponding qubits should be flipped. None indicates no
inverting should be done.
Returns:
An operation targeting the given qubits with a measurement.
Raises:
ValueError if the qubits are not instances of Qid.
"""
for qubit in target:
if isinstance(qubit, np.ndarray):
raise ValueError(
'measure() was called a numpy ndarray. Perhaps you meant '
'to call measure_state_vector on numpy array?')
elif not isinstance(qubit, raw_types.Qid):
raise ValueError(
'measure() was called with type different than Qid.')
qid_shape = protocols.qid_shape(target)
return MeasurementGate(len(target), key, invert_mask,
qid_shape).on(*target)
def measure_each(
*qubits,
key_func: Callable[[raw_types.Qid],
str] = str) -> List[raw_types.Operation]:
"""Returns a list of operations individually measuring the given qubits.
The qubits are measured in the computational basis.
Args:
*qubits: The qubits to measure. These can be passed as separate
function arguments or as a one-argument iterable of qubits.
key_func: Determines the key of the measurements of each qubit. Takes
the qubit and returns the key for that qubit. Defaults to str.
Returns:
A list of operations individually measuring the given qubits.
"""
one_iterable_arg: bool = (len(qubits) == 1
and isinstance(qubits[0], Iterable)
and not isinstance(qubits[0], (bytes, str)))
qubitsequence = qubits[0] if one_iterable_arg else qubits
return [
MeasurementGate(1, key_func(q), qid_shape=(q.dimension, )).on(q)
for q in qubitsequence
]
def measure(
*target,
key: Optional[Union[str, 'cirq.MeasurementKey']] = None,
invert_mask: Tuple[bool, ...] = (),
confusion_map: Optional[Dict[Tuple[int, ...], np.ndarray]] = None,
) -> raw_types.Operation:
"""Returns a single MeasurementGate applied to all the given qubits.
The qubits are measured in the computational basis.
Args:
*target: The qubits that the measurement gate should measure.
These can be specified as separate function arguments or
with a single argument for an iterable of qubits.
key: Optional `str` or `cirq.MeasurementKey` that gate should use.
If none provided, it defaults to a comma-separated list of
`str(qubit)` for each of the target qubits.
invert_mask: A list of Truthy or Falsey values indicating whether
the corresponding qubits should be flipped. None indicates no
inverting should be done.
confusion_map: A map of qubit index sets (using indices in
`target`) to the 2D confusion matrix for those qubits. Indices
not included use the identity. Applied before invert_mask if both
are provided.
Returns:
An operation targeting the given qubits with a measurement.
Raises:
ValueError: If the qubits are not instances of Qid.
"""
one_iterable_arg: bool = (
len(target) == 1
and isinstance(target[0], Iterable)
and not isinstance(target[0], (bytes, str, np.ndarray))
)
targets = tuple(target[0]) if one_iterable_arg else target
for qubit in targets:
if isinstance(qubit, np.ndarray):
raise ValueError(
'measure() was called a numpy ndarray. Perhaps you meant '
'to call measure_state_vector on numpy array?'
)
elif not isinstance(qubit, raw_types.Qid):
raise ValueError('measure() was called with type different than Qid.')
if key is None:
key = _default_measurement_key(targets)
qid_shape = protocols.qid_shape(targets)
return MeasurementGate(len(targets), key, invert_mask, qid_shape, confusion_map).on(*targets)
def measure_each(
*qubits: 'cirq.Qid', key_func: Callable[[raw_types.Qid], str] = str
) -> List[raw_types.Operation]:
"""Returns a list of operations individually measuring the given qubits.
The qubits are measured in the computational basis.
Args:
*qubits: The qubits to measure.
key_func: Determines the key of the measurements of each qubit. Takes
the qubit and returns the key for that qubit. Defaults to str.
Returns:
A list of operations individually measuring the given qubits.
"""
return [MeasurementGate(1, key_func(q), qid_shape=(q.dimension,)).on(q) for q in qubits]
def measure_each(
*qubits: 'cirq.Qid',
key_func: Callable[[raw_types.Qid], str] = lambda x: ''
) -> List[raw_types.Operation]:
"""Returns a list of operations individually measuring the given qubits.
The qubits are measured in the computational basis.
Args:
*qubits: The qubits to measure.
key_func: Determines the key of the measurements of each qubit. Takes
the qubit and returns the key for that qubit. Defaults to empty string
key which would result in a comma-separated list of the target qubits'
str values.
Returns:
A list of operations individually measuring the given qubits.
"""
return [
MeasurementGate(1, key_func(q), qid_shape=(q.dimension, )).on(q)
for q in qubits
]