qml.noise.op_in¶

Builds a conditional as a BooleanFn for evaluating if a given operation exist in a specified set of operations.

Parameters:: ops (str, class, Operation, list(Union[str, class, Operation, MeasurementProcess])) – Sequence of string representations, instances, or classes of the operation(s).
Returns:: A callable object that accepts an Operation or MeasurementProcess and returns a boolean output. For an input from: Union[str, class, Operation, list(Union[str, class, Operation])] and evaluates to True if the input operation(s) exists in the set of operation(s) specified by ops. For a MeasurementProcess input, similar evaluation happens on its observable. In both cases, comparison is based on the operation’s type, irrespective of wires.
Return type:: OpIn

Example

One may use op_in with a string representation of the name of the operation:

>>> cond_func = qml.noise.op_in(["RX", "RY"])
>>> cond_func(qml.RX(1.23, wires=[0]))
True

>>> cond_func(qml.RZ(1.23, wires=[3]))
False

>>> cond_func([qml.RX(1.23, wires=[1]), qml.RY(4.56, wires=[2])])
True

Additionally, an instance of Operation can also be provided:

>>> cond_func = qml.noise.op_in([qml.RX(1.0, "dino"), qml.RY(2.0, "rhino")])
>>> cond_func(qml.RX(1.23, wires=["eve"]))
True

>>> cond_func(qml.RY(1.23, wires=["dino"]))
True

>>> cond_func([qml.RX(1.23, wires=[1]), qml.RZ(4.56, wires=[2])])
False

code/api/pennylane.noise.op_in

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