pygsti.models.modelnoise.DepolarizationNoise

class DepolarizationNoise(depolarization_rate, parameterization='depolarize')

Bases: OpNoise

Depolarization noise.

Parameters:

• depolarization_rate (float) – The uniform depolarization strength.

• parameterization ({"depolarize", "stochastic", "lindblad", "exp(lindblad)", "1+lindblad"}) – Determines whether a DepolarizeOp, StochasticNoiseOp, or LindbladErrorgen is used to represent the depolarization noise, respectively. When “depolarize” (the default), a DepolarizeOp is created with the strength given in depolarization_strengths. When “stochastic”, the depolarization strength is split evenly among the stochastic channels of a StochasticOp. When “lindblad”, the depolarization strength is split evenly among the coefficients of the stochastic error generators (which are exponentiated to form a LindbladErrorgen with the “depol” parameterization).

Methods

__init__(depolarization_rate[, parameterization])
create_errorgen(evotype, state_space)	Create an error generator for this noise operation.
create_errormap(evotype, state_space)	Create an error map (operator or superoperator) for this noise operation.

create_errorgen(evotype, state_space)

Create an error generator for this noise operation.

Parameters:

• evotype (str or Evotype) – The evolution type for the returned operator.

• state_space (StateSpace) – The state space for the returned operator.

Return type:

LinearOperator

create_errormap(evotype, state_space)

Create an error map (operator or superoperator) for this noise operation.

Parameters:

• evotype (str or Evotype) – The evolution type for the returned operator.

• state_space (StateSpace) – The state space for the returned operator.

Return type:

LinearOperator