MultivariateLogNormalDistribution

class MultivariateLogNormalDistribution(num_qubits, low=None, high=None, mu=None, cov=None)

The Multivariate Log-Normal Distribution.

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

• cov (Union[List[float], ndarray, None]) – Co-variance matrix

Attributes

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

Methods

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