MultivariateDistribution

class MultivariateDistribution(num_qubits, probabilities=None, low=None, high=None)

This module contains the definition of a base class for multivariate distributions. (Interface for discrete bounded uncertainty models assuming an equidistant grid)

Parameters

• num_qubits (Union[List[int], ndarray]) – Assigns qubits to dimensions

• probabilities (Optional[Dict]) – Map - maps index tuples to probabilities

• low (Union[List[float], ndarray, None]) – Lowest value per dimension

• high (Union[List[float], ndarray, None]) – Highest value per dimension

Attributes

MultivariateDistribution.dimension	returns dimensions
MultivariateDistribution.high	returns high
MultivariateDistribution.low	returns low
MultivariateDistribution.num_qubits	returns num qubits
MultivariateDistribution.num_target_qubits	Returns the number of target qubits
MultivariateDistribution.num_values	returns number of values
MultivariateDistribution.probabilities	returns probabilities
MultivariateDistribution.probabilities_vector	returns probabilities vector
MultivariateDistribution.values	returns values

Methods

MultivariateDistribution.build(qc, q[, …])
MultivariateDistribution.build_controlled(qc, …)	Adds corresponding controlled sub-circuit to given circuit
MultivariateDistribution.build_controlled_inverse(qc, …)	Adds controlled inverse of corresponding sub-circuit to given circuit
MultivariateDistribution.build_controlled_inverse_power(qc, …)	Adds controlled, inverse, power of corresponding circuit.
MultivariateDistribution.build_controlled_power(qc, …)	Adds controlled power of corresponding circuit.
MultivariateDistribution.build_inverse(qc, q)	Adds inverse of corresponding sub-circuit to given circuit
MultivariateDistribution.build_inverse_power(qc, …)	Adds inverse power of corresponding circuit.
MultivariateDistribution.build_power(qc, q, …)	Adds power of corresponding circuit.
MultivariateDistribution.get_num_qubits()	returns number of qubits
MultivariateDistribution.get_num_qubits_controlled()	returns number of qubits controlled
MultivariateDistribution.pdf_to_probabilities(…)	pdf to probabilities
MultivariateDistribution.required_ancillas()	returns required ancillas
MultivariateDistribution.required_ancillas_controlled()	returns required ancillas controlled