View source on GitHub |
A gate that measures qubits in the computational basis.
Inherits From: Gate
cirq.MeasurementGate(
num_qubits: Optional[int] = None,
key: Union[str, 'cirq.MeasurementKey'] = '',
invert_mask: Tuple[bool, ...] = (),
qid_shape: Optional[Tuple[int, ...]] = None,
confusion_map: Optional[Dict[Tuple[int, ...], np.ndarray]] = None
) -> None
Used in the notebooks
Used in the tutorials |
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The measurement gate contains a key that is used to identify results of measurements.
Instead of constructing this directly, consider using the cirq.measure
helper method.
Raises | |
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ValueError
|
If invert_mask or confusion_map have indices greater than the available qubit indices, or if the length of qid_shape doesn't equal num_qubits. |
Attributes | |
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confusion_map
|
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invert_mask
|
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key
|
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mkey
|
Methods
controlled
controlled(
num_controls: Optional[int] = None,
control_values: Optional[Union[cv.AbstractControlValues, Sequence[Union[int, Collection[int]]]]
] = None,
control_qid_shape: Optional[Tuple[int, ...]] = None
) -> 'Gate'
Returns a controlled version of this gate. If no arguments are specified, defaults to a single qubit control.
Args | |
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num_controls
|
Total number of control qubits. |
control_values
|
Which control computational basis state to apply the
sub gate. A sequence of length num_controls where each
entry is an integer (or set of integers) corresponding to the
computational basis state (or set of possible values) where that
control is enabled. When all controls are enabled, the sub gate is
applied. If unspecified, control values default to 1.
|
control_qid_shape
|
The qid shape of the controls. A tuple of the
expected dimension of each control qid. Defaults to
(2,) * num_controls . Specify this argument when using qudits.
|
Returns | |
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A cirq.Gate representing self controlled by the given control values
and qubits. This is a cirq.ControlledGate in the base
implementation, but subclasses may return a different gate type.
|
full_invert_mask
full_invert_mask() -> Tuple[bool, ...]
Returns the invert mask for all qubits.
If the user supplies a partial invert_mask, this returns that mask padded by False.
Similarly if no invert_mask is supplies this returns a tuple of size equal to the number of qubits with all entries False.
num_qubits
num_qubits() -> int
The number of qubits this gate acts on.
on
on(
*qubits
) -> 'Operation'
Returns an application of this gate to the given qubits.
Args | |
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*qubits
|
The collection of qubits to potentially apply the gate to. |
Returns: a cirq.Operation
which is this gate applied to the given
qubits.
on_each
on_each(
*targets
) -> List['cirq.Operation']
Returns a list of operations applying the gate to all targets.
Args | |
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*targets
|
The qubits to apply this gate to. For single-qubit gates
this can be provided as varargs or a combination of nested
iterables. For multi-qubit gates this must be provided as an
Iterable[Sequence[Qid]] , where each sequence has num_qubits
qubits.
|
Returns | |
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Operations applying this gate to the target qubits. |
Raises | |
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ValueError
|
If targets are not instances of Qid or Iterable[Qid]. If the gate qubit number is incompatible. |
TypeError
|
If a single target is supplied and it is not iterable. |
validate_args
validate_args(
qubits: Sequence['cirq.Qid']
) -> None
Checks if this gate can be applied to the given qubits.
By default checks that:
- inputs are of type
Qid
- len(qubits) == num_qubits()
- qubit_i.dimension == qid_shape[i] for all qubits
Child classes can override. The child implementation should call
super().validate_args(qubits)
then do custom checks.
Args | |
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qubits
|
The sequence of qubits to potentially apply the gate to. |
Raises | |
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ValueError
|
The gate can't be applied to the qubits. |
with_bits_flipped
with_bits_flipped(
*bit_positions
) -> 'MeasurementGate'
Toggles whether or not the measurement inverts various outputs.
This only affects the invert_mask, which is applied after confusion matrices if any are defined.
with_key
with_key(
key: Union[str, 'cirq.MeasurementKey']
) -> 'MeasurementGate'
Creates a measurement gate with a new key but otherwise identical.
with_probability
with_probability(
probability: 'cirq.TParamVal'
) -> 'cirq.Gate'
Creates a probabilistic channel with this gate.
Args | |
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probability
|
floating point value between 0 and 1, giving the probability this gate is applied. |
Returns | |
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cirq.RandomGateChannel that applies self with probability
probability and the identity with probability 1-p .
|
wrap_in_linear_combination
wrap_in_linear_combination(
coefficient: Union[complex, float, int] = 1
) -> 'cirq.LinearCombinationOfGates'
Returns a LinearCombinationOfGates with this gate.
Args | |
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coefficient
|
number coefficient to use in the resulting
cirq.LinearCombinationOfGates object.
|
Returns | |
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cirq.LinearCombinationOfGates containing self with a
coefficient of coefficient .
|
__add__
__add__(
other: Union['Gate', 'cirq.LinearCombinationOfGates']
) -> 'cirq.LinearCombinationOfGates'
__call__
__call__(
*qubits, **kwargs
)
Call self as a function.
__eq__
__eq__(
other: _SupportsValueEquality
) -> bool
__mul__
__mul__(
other: Union[complex, float, int]
) -> 'cirq.LinearCombinationOfGates'
__ne__
__ne__(
other: _SupportsValueEquality
) -> bool
__neg__
__neg__() -> 'cirq.LinearCombinationOfGates'
__pow__
__pow__(
power
)
__rmul__
__rmul__(
other: Union[complex, float, int]
) -> 'cirq.LinearCombinationOfGates'
__sub__
__sub__(
other: Union['Gate', 'cirq.LinearCombinationOfGates']
) -> 'cirq.LinearCombinationOfGates'
__truediv__
__truediv__(
other: Union[complex, float, int]
) -> 'cirq.LinearCombinationOfGates'