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
The abstract Uncertainty Model 

This module contains the definition of a base class for univariate distributions. 

This module contains the definition of a base class for multivariate distributions. 
Univariate Distributions¶
The Univariate Normal Distribution. 

The Univariate LogNormal Distribution. 

The Univariate Bernoulli Distribution. 

The Univariate Uniform Distribution. 

The Univariate Variational Distribution. 
Multivariate Distributions¶
The Multivariate Normal Distribution. 

The Multivariate LogNormal Distribution. 

The Multivariate Uniform Distribution. 

The Multivariate Variational Distribution. 

The Gaussian Conditional Independence Model for Credit Risk. 