cirq.MatrixGate

A unitary qubit or qudit gate defined entirely by its numpy matrix.

Inherits From: Gate

cirq.MatrixGate(
    matrix: np.ndarray,
    *,
    name: Optional[str] = None,
    qid_shape: Optional[Iterable[int]] = None,
    unitary_check: bool = True,
    unitary_check_rtol: float = 1e-05,
    unitary_check_atol: float = 1e-08
) -> None

Used in the notebooks

Used in the tutorials

For example cirq.MatrixGate(np.array([[0, 1j], [1, 0]])) has the unitary matrix:

\[ \begin{bmatrix} 0 & i \\ 1 & 0 \end{bmatrix} \]

matrix The matrix that defines the gate.
name The optional name of the gate to be displayed.
qid_shape The shape of state tensor that the matrix applies to. If not specified, this value is inferred by assuming that the matrix is supposed to apply to qubits.
unitary_check If True, check that the supplied matrix is unitary up to the given tolerances. This should only be disabled if the matrix has already been checked for unitarity, in which case we get a slight performance improvement by not checking again.
unitary_check_rtol The relative tolerance for checking whether the supplied matrix is unitary. See cirq.is_unitary.
unitary_check_atol The absolute tolerance for checking whether the supplied matrix is unitary. See cirq.is_unitary.

ValueError If the matrix is not a square numpy array, if the matrix does not match the qid_shape, if qid_shape is not supplied and the matrix dimension is not a power of 2, or if the matrix not unitary (to the supplied precisions).

Methods

controlled

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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_qubits

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num_qubits() -> int

The number of qubits this gate acts on.

on

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on(
    *qubits
) -> 'Operation'

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

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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 an Iterable[Sequence[Qid]], where each sequence has num_qubits qubits.

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

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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
qubits The sequence of qubits to potentially apply the gate to.

Raises
ValueError The gate can't be applied to the qubits.

with_name

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with_name(
    name: str
) -> 'MatrixGate'

Creates a new MatrixGate with the same matrix and a new name.

with_probability

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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 probability probability and the identity with probability 1-p.

wrap_in_linear_combination

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wrap_in_linear_combination(
    coefficient: 'cirq.TParamValComplex' = 1
) -> 'cirq.LinearCombinationOfGates'

Returns a LinearCombinationOfGates with this gate.

Args
coefficient number coefficient to use in the resulting cirq.LinearCombinationOfGates object.

Returns
cirq.LinearCombinationOfGates containing self with a coefficient of coefficient.

__add__

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__add__(
    other: Union['Gate', 'cirq.LinearCombinationOfGates']
) -> 'cirq.LinearCombinationOfGates'

__call__

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__call__(
    *qubits, **kwargs
)

Call self as a function.

__eq__

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__eq__(
    other
)

Return self==value.

__mul__

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__mul__(
    other: complex
) -> 'cirq.LinearCombinationOfGates'

__ne__

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__ne__(
    other
)

Return self!=value.

__neg__

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__neg__() -> 'cirq.LinearCombinationOfGates'

__pow__

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__pow__(
    exponent: Any
) -> 'MatrixGate'

__rmul__

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__rmul__(
    other: complex
) -> 'cirq.LinearCombinationOfGates'

__sub__

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__sub__(
    other: Union['Gate', 'cirq.LinearCombinationOfGates']
) -> 'cirq.LinearCombinationOfGates'

__truediv__

View source

__truediv__(
    other: complex
) -> 'cirq.LinearCombinationOfGates'