qiskit.aqua.components.uncertainty_models.MultivariateLogNormalDistribution¶

class MultivariateLogNormalDistribution(num_qubits, low=None, high=None, mu=None, cov=None)[source]¶

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

__init__(num_qubits, low=None, high=None, mu=None, cov=None)[source]¶

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

Methods

`__init__`(num_qubits[, low, high, mu, cov])	type num_qubits `Union`[`List`[`int`], `ndarray`]
`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)	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

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

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

static pdf_to_probabilities(pdf, low, high, num_values)¶: pdf to probabilities