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.