MultivariateVariationalDistribution

class MultivariateVariationalDistribution(num_qubits, var_form, params, low=None, high=None)

The Multivariate Variational Distribution.

Parameters

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

• var_form (Union[QuantumCircuit, VariationalForm]) – Variational form

• params (Union[List[float], ndarray]) – Parameters for variational form

• 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

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

Methods

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