MultivariateUniformDistribution

class MultivariateUniformDistribution(num_qubits, low=None, high=None)

The Multivariate Uniform Distribution.

Although this just results in a Hadamard gate on all involved qubits, the lower and upper bounds and the assignment of the qubits to the different dimensions is important if used in a particular application.

Parameters

• num_qubits (Union[List[int], ndarray]) – List with the number of qubits per dimension

• low (Union[List[float], ndarray, None]) – List with the lower bounds per dimension, set to 0 for each dimension if None

• high (Union[List[float], ndarray, None]) – List with the upper bounds per dimension, set to 1 for each dimension if None

Attributes

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

Methods

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