qml.noise.meas_eq¶

meas_eq(mps)[source]¶

Builds a conditional as a BooleanFn for evaluating if a given measurement process is equal to the specified measurement process.

Parameters: mps (MeasurementProcess, Callable) – An instance(s) of any class that inherits from MeasurementProcess or a measurement function(s).
Returns: A callable object that accepts an instance of MeasurementProcess and returns a boolean output. It accepts any input from: Union[class, function, list(Union[class, function, MeasurementProcess])] and evaluates to True if the input measurement process(es) is equal to the measurement process(es) specified by ops. Comparison is based on the measurement’s return type, irrespective of wires, observables or any other relevant attribute.
Return type: MeasEq

Example

One may use meas_eq with an instance of MeasurementProcess:

>>> cond_func = qml.noise.meas_eq(qml.expval(qml.Y(0)))
>>> cond_func(qml.expval(qml.Z(9)))
True

>>> cond_func(qml.sample(op=qml.Y(0)))
False

Additionally, a measurement function can also be provided:

>>> cond_func = qml.noise.meas_eq(qml.expval)
>>> cond_func(qml.expval(qml.X(0)))
True

>>> cond_func(qml.probs(wires=[0, 1]))
False

>>> cond_func(qml.counts(qml.Z(0)))
False

code/api/pennylane.noise.meas_eq

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