qiskit.aqua.components.uncertainty_models.UnivariateVariationalDistribution

class UnivariateVariationalDistribution(num_qubits, var_form, params, low=0, high=1)

The Univariate Variational Distribution.

Parameters

• num_qubits (int) – Number of qubits

• var_form (QuantumCircuit) – Variational form

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

• low (float) – Lower bound

• high (float) – Upper bound

__init__(num_qubits, var_form, params, low=0, high=1)

Parameters

• num_qubits (int) – Number of qubits

• var_form (QuantumCircuit) – Variational form

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

• low (float) – Lower bound

• high (float) – Upper bound

Methods

__init__(num_qubits, var_form, params[, …])	type num_qubits int
build(qc, q[, q_ancillas, params])
build_controlled(qc, q, q_control[, …])	Adds corresponding controlled sub-circuit to given circuit
build_controlled_inverse(qc, q, q_control[, …])	Adds controlled inverse of corresponding sub-circuit to given circuit
build_controlled_inverse_power(qc, q, …[, …])	Adds controlled, inverse, power of corresponding circuit.
build_controlled_power(qc, q, q_control, power)	Adds controlled power of corresponding circuit.
build_inverse(qc, q[, q_ancillas])	Adds inverse of corresponding sub-circuit to given circuit
build_inverse_power(qc, q, power[, q_ancillas])	Adds inverse power of corresponding circuit.
build_power(qc, q, power[, q_ancillas])	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, low, high, num_values)	Takes a probability density function (pdf), and returns a truncated and discretized array of probabilities corresponding to it
required_ancillas()	returns required ancillas
required_ancillas_controlled()	returns required ancillas controlled
set_probabilities(quantum_instance)	Set Probabilities

Attributes

high	returns high
low	returns low
num_target_qubits	Returns the number of target qubits
num_values	returns number of values
probabilities	returns probabilities
values	returns values

build(qc, q, q_ancillas=None, params=None)

build_controlled(qc, q, q_control, q_ancillas=None, use_basis_gates=True)

Adds corresponding controlled sub-circuit to given circuit

Parameters

• qc (QuantumCircuit) – quantum circuit

• q (list) – list of qubits (has to be same length as self._num_qubits)

• q_control (Qubit) – control qubit

• q_ancillas (list) – list of ancilla qubits (or None if none needed)

• use_basis_gates (bool) – use basis gates for expansion of controlled circuit

build_controlled_inverse(qc, q, q_control, q_ancillas=None, use_basis_gates=True)

Adds controlled inverse of corresponding sub-circuit to given circuit

Parameters

• qc (QuantumCircuit) – quantum circuit

• q (list) – list of qubits (has to be same length as self._num_qubits)

• q_control (Qubit) – control qubit

• q_ancillas (list) – list of ancilla qubits (or None if none needed)

• use_basis_gates (bool) – use basis gates for expansion of controlled circuit

build_controlled_inverse_power(qc, q, q_control, power, q_ancillas=None, use_basis_gates=True)

Adds controlled, inverse, power of corresponding circuit. May be overridden if a more efficient implementation is possible

build_controlled_power(qc, q, q_control, power, q_ancillas=None, use_basis_gates=True)

Adds controlled power of corresponding circuit. May be overridden if a more efficient implementation is possible

build_inverse(qc, q, q_ancillas=None)

Adds inverse of corresponding sub-circuit to given circuit

Parameters

• qc (QuantumCircuit) – quantum circuit

• q (list) – list of qubits (has to be same length as self._num_qubits)

• q_ancillas (list) – list of ancilla qubits (or None if none needed)

build_inverse_power(qc, q, power, q_ancillas=None)

Adds inverse power of corresponding circuit. May be overridden if a more efficient implementation is possible

build_power(qc, q, power, q_ancillas=None)

Adds power of corresponding circuit. May be overridden if a more efficient implementation is possible

get_num_qubits()

returns number of qubits

get_num_qubits_controlled()

returns number of qubits controlled

property high

returns high

property low

returns low

property num_target_qubits

Returns the number of target qubits

property num_values

returns number of values

static pdf_to_probabilities(pdf, low, high, num_values)

Takes a probability density function (pdf), and returns a truncated and discretized array of probabilities corresponding to it

Parameters

• pdf (function) – probability density function

• low (float) – lower bound of equidistant grid

• high (float) – upper bound of equidistant grid

• num_values (int) – number of grid points

Returns

array of probabilities

Return type

list

property probabilities

returns probabilities

required_ancillas()

returns required ancillas

required_ancillas_controlled()

returns required ancillas controlled

set_probabilities(quantum_instance)

Set Probabilities

Parameters

quantum_instance (QuantumInstance) – Quantum instance

property values

returns values