qml.capture.primitives.AbstractMeasurement

class AbstractMeasurement(abstract_eval, n_wires=None, has_eigvals=False)

Bases: AbstractValue

An abstract measurement.

Parameters:

• abstract_eval (Callable) – See _abstract_eval(). A function of n_wires, has_eigvals, num_device_wires and shots that returns a shape and numeric type.

• n_wires=None (Optional[int]) – the number of wires

• has_eigvals=False (bool) – Whether or not the measurement contains eigenvalues in a wires+eigvals diagonal representation.

Attributes

has_qdd
is_high
n_wires	The number of wires for a wire based measurement.

has_qdd = False

is_high = False

n_wires

The number of wires for a wire based measurement.

Options are: * None: The measurement is observable based or single mcm based * 0: The measurement is broadcasted across all available devices wires * int>0: A wire or mcm based measurement with specified wires or mid circuit measurements.

Methods

abstract_eval(num_device_wires, shots)	Calculate the shape and dtype for an evaluation with specified number of device wires and shots.
at_least_vspace()
join(other)
lo_ty()
lo_ty_qdd(qdd)
normalize()
str_short([short_dtypes, mesh_axis_types])
strip_weak_type()
to_tangent_aval()
update(**kwargs)
update_vma(vma)
update_weak_type(weak_type)

abstract_eval(num_device_wires, shots)

Calculate the shape and dtype for an evaluation with specified number of device wires and shots.

at_least_vspace()

join(other)

lo_ty()

lo_ty_qdd(qdd)

normalize()

str_short(short_dtypes=False, mesh_axis_types=False)

strip_weak_type()

to_tangent_aval()

update(**kwargs)

update_vma(vma)

update_weak_type(weak_type)

code/api/pennylane.capture.primitives.AbstractMeasurement

 

Download Python script

 

Download Notebook

 

View on GitHub