cirq.ControlledGate | Cirq | Google Quantum AI (original) (raw)
Augments existing gates to have one or more control qubits.
Inherits From: Gate
cirq.ControlledGate(
sub_gate: 'cirq.Gate',
num_controls: Optional[int] = None,
control_values: Optional[Union[cv.AbstractControlValues, Sequence[Union[int, Collection[int]]]]
] = None,
control_qid_shape: Optional[Sequence[int]] = None
) -> None
Used in the notebooks
Used in the tutorials |
---|
Textbook algorithms in Cirq Operators and observables |
This object is typically created via gate.controlled()
.
Args | |
---|---|
sub_gate | The gate to add a control qubit to. |
num_controls | Total number of control qubits. |
control_values | For which control qubit values to apply the sub gate. Either an object that inherits from AbstractControlValues or a sequence of length num_controls where each entry is an integer (or set of integers) corresponding to the qubit value (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. |
Raises | |
---|---|
ValueError | If the control_values or control_qid_shape does not match with num_controls, if the control_values are out of bounds, or if the sub_gate is not a unitary or mixture. |
| Attributes | | | ------------------- | | | control_qid_shape | | | control_values | | | sub_gate | |
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 | |
---|---|
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 |
---|
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. |
num_controls
num_controls() -> int
num_qubits
num_qubits() -> int
The number of qubits this gate acts on.
on
on(
*qubits
) -> cirq.ControlledOperation
Returns an application of this gate to the given qubits.
Args | |
---|---|
*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 | |
---|---|
*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 anIterable[Sequence[Qid]], where each sequence has num_qubitsqubits. |
Returns |
---|
Operations applying this gate to the target qubits. |
Raises | |
---|---|
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 callsuper().validate_args(qubits)
then do custom checks.
Args | |
---|---|
qubits | The sequence of qubits to potentially apply the gate to. |
Raises | |
---|---|
ValueError | The gate can't be applied to the qubits. |
with_probability
with_probability(
probability: 'cirq.TParamVal'
) -> 'cirq.Gate'
Creates a probabilistic channel with this gate.
Args | |
---|---|
probability | floating point value between 0 and 1, giving the probability this gate is applied. |
Returns |
---|
cirq.RandomGateChannel that applies self with probabilityprobability and the identity with probability 1-p. |
wrap_in_linear_combination
wrap_in_linear_combination(
coefficient: 'cirq.TParamValComplex' = 1
) -> 'cirq.LinearCombinationOfGates'
Returns a LinearCombinationOfGates with this gate.
Args | |
---|---|
coefficient | number coefficient to use in the resultingcirq.LinearCombinationOfGates object. |
Returns |
---|
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: complex
) -> 'cirq.LinearCombinationOfGates'
__ne__
__ne__(
other: _SupportsValueEquality
) -> bool
__neg__
__neg__() -> 'cirq.LinearCombinationOfGates'
__pow__
__pow__(
exponent: Any
) -> 'ControlledGate'
__rmul__
__rmul__(
other: complex
) -> 'cirq.LinearCombinationOfGates'
__sub__
__sub__(
other: Union['Gate', 'cirq.LinearCombinationOfGates']
) -> 'cirq.LinearCombinationOfGates'
__truediv__
__truediv__(
other: complex
) -> 'cirq.LinearCombinationOfGates'