mm.lab.abstract.Measurement¶

class mrmustard.lab.abstract.Measurement(outcome, modes)[source]¶

Bases: ABC

this is an abstract class holding the common methods and properties that any measurement should implement

Parameters:

outcome (optional, List[float] or Tensor) – the result of the measurement
modes (List[int]) – the modes on which the measurement is acting on

Attributes

`modes`	returns the modes being measured
`num_modes`	returns the number of modes being measured
`outcome`	Returns outcome of the measurement.
`parameter_set`	The set of parameters for this transformation.
`postselected`	returns whether the measurement is postselected, i.e, a outcome has been provided

outcome¶: Returns outcome of the measurement. If no measurement has been carried out returns None.

postselected¶: returns whether the measurement is postselected, i.e, a outcome has been provided

performs the measurement procedure according to the representation of the incoming state

primal(other)[source]¶

performs the measurement procedure according to the representation of the incoming state