MultivariateNormalDistribution¶

class MultivariateNormalDistribution(num_qubits, low=None, high=None, mu=None, sigma=None)[source]¶

Bases: qiskit.aqua.components.uncertainty_models.multivariate_distribution.MultivariateDistribution

The Multivariate Normal Distribution.

Provides a discretized and truncated normal distribution loaded into a quantum state. Truncation bounds are given by lower and upper bound and discretization is specified by the number of qubits per dimension.

Parameters

num_qubits (Union[List[int], ndarray]) – Number of qubits per dimension
low (Union[List[float], ndarray, None]) – Lower bounds per dimension
high (Union[List[float], ndarray, None]) – Upper bounds per dimension
mu (Union[List[float], ndarray, None]) – Expected values
sigma (Union[List[float], ndarray, None]) – Co-variance matrix

Methods

`build`
`build_controlled`	Adds corresponding controlled sub-circuit to given circuit
`build_controlled_inverse`	Adds controlled inverse of corresponding sub-circuit to given circuit
`build_controlled_inverse_power`	Adds controlled, inverse, power of corresponding circuit.
`build_controlled_power`	Adds controlled power of corresponding circuit.
`build_inverse`	Adds inverse of corresponding sub-circuit to given circuit
`build_inverse_power`	Adds inverse power of corresponding circuit.
`build_power`	Adds power of corresponding circuit.
`get_num_qubits`	returns number of qubits
`get_num_qubits_controlled`	returns number of qubits controlled
`pdf_to_probabilities`	pdf to probabilities
`required_ancillas`	returns required ancillas
`required_ancillas_controlled`	returns required ancillas controlled

Attributes

dimension¶: returns dimensions

high¶: returns high

low¶: returns low

num_qubits¶: returns num qubits

num_target_qubits¶: Returns the number of target qubits

num_values¶: returns number of values

probabilities¶: returns probabilities

probabilities_vector¶: returns probabilities vector

values¶: returns values