Uncertainty Models (qiskit.aqua.components.uncertainty_models)

An uncertainty model is an implementation that provides a way to construct a quantum circuit to prepare a state which corresponds to a particular distribution. More precisely, the resulting state together with an affine map can be used to sample from the considered distribution. The qubits are measured and then mapped to the desired range using the affine map.

Uncertainty Model Base Classes

UncertaintyModel is the base class from which further base classes for univariate and multivariate distributions are derived

UncertaintyModel	The abstract Uncertainty Model
UnivariateDistribution	This module contains the definition of a base class for univariate distributions.
MultivariateDistribution	This module contains the definition of a base class for multivariate distributions.

Univariate Distributions

NormalDistribution	The Univariate Normal Distribution.
LogNormalDistribution	The Univariate Log-Normal Distribution.
BernoulliDistribution	The Univariate Bernoulli Distribution.
UniformDistribution	The Univariate Uniform Distribution.
UnivariateVariationalDistribution	The Univariate Variational Distribution.

Multivariate Distributions

MultivariateNormalDistribution	The Multivariate Normal Distribution.
MultivariateLogNormalDistribution	The Multivariate Log-Normal Distribution.
MultivariateUniformDistribution	The Multivariate Uniform Distribution.
MultivariateVariationalDistribution	The Multivariate Variational Distribution.
GaussianConditionalIndependenceModel	The Gaussian Conditional Independence Model for Credit Risk.