mimiqcircuits.operations.readouterr

Readout error model.

Classes

ReadoutErr(p0[, p1])

Represents a classical readout error applied immediately after a measurement.

class mimiqcircuits.operations.readouterr.ReadoutErr(p0, p1=None)

Bases: Operation

Represents a classical readout error applied immediately after a measurement.

The readout error is modeled by a 2×2 confusion matrix:

\[\begin{split}\begin{pmatrix} P(\text{report } 0 | \text{true } 0) & P(\text{report } 1 | \text{true } 0) = p_0 \\ P(\text{report } 0 | \text{true } 1) = p_1 & P(\text{report } 1 | \text{true } 1) \end{pmatrix}\end{split}\]

Can be initialized either from the error probabilities p0, p1 or directly from a 2×2 confusion matrix. Accepts NumPy, SymPy, or SymEngine matrices.

Examples

>>> from mimiqcircuits import *
>>> ReadoutErr(0.02, 0.03)
RErr(0.02,0.03)

>>> import numpy as np
>>> ReadoutErr(np.array([[0.98, 0.02],
...                      [0.03, 0.97]]))
RErr(0.02,0.03)

>>> c = Circuit()
>>> c.push(ReadoutErr(0.01, 0.02),0)
1-bit circuit with 1 instruction:
└── RErr(0.01, 0.02) @ c[0]

__init__(p0, p1=None)

evaluate(d={})

Evaluate symbolic parameters numerically. Returns a new ReadoutErr instance with evaluated parameters.

matrix()

Return the confusion matrix as a symengine.Matrix.

property opname

property parnames

iswrapper()