MultivariateUniformDistribution¶

class MultivariateUniformDistribution(num_qubits, low=None, high=None)[source]¶

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

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

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