qiskit.aqua.components.uncertainty_models.GaussianConditionalIndependenceModel

class GaussianConditionalIndependenceModel(n_normal, normal_max_value, p_zeros, rhos, i_normal=None, i_ps=None)

The Gaussian Conditional Independence Model for Credit Risk.

Reference: https://arxiv.org/abs/1412.1183

Dependency between individual risk variables and latent variable is approximated linearly.

Parameters

n_normal (int) – Number of qubits to represent the latent normal random variable Z
normal_max_value (float) – Min/max value to truncate the latent normal random variable Z
p_zeros (Union[List[float], ndarray]) – Standard default probabilities for each asset
rhos (Union[List[float], ndarray]) – Sensitivities of default probability of assets with respect to latent variable Z
i_normal (Union[List[float], ndarray, None]) – Indices of qubits to represent normal variable
i_ps (Union[List[float], ndarray, None]) – Indices of qubits to represent asset defaults

__init__(n_normal, normal_max_value, p_zeros, rhos, i_normal=None, i_ps=None)

Parameters

n_normal (int) – Number of qubits to represent the latent normal random variable Z
normal_max_value (float) – Min/max value to truncate the latent normal random variable Z
p_zeros (Union[List[float], ndarray]) – Standard default probabilities for each asset
rhos (Union[List[float], ndarray]) – Sensitivities of default probability of assets with respect to latent variable Z
i_normal (Union[List[float], ndarray, None]) – Indices of qubits to represent normal variable
i_ps (Union[List[float], ndarray, None]) – Indices of qubits to represent asset defaults

Methods


`__init__`(n_normal, normal_max_value, …[, …])	type n_normal`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)	pdf to probabilities
`required_ancillas`()	returns required ancillas
`required_ancillas_controlled`()	returns required ancillas controlled


`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(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

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

returns dimensions

get_num_qubits()

returns number of qubits

get_num_qubits_controlled()

returns number of qubits controlled

returns high

returns low

returns num qubits

Returns the number of target qubits

returns number of values

static pdf_to_probabilities(pdf, low, high, num_values)

pdf to probabilities

returns probabilities

returns probabilities vector

required_ancillas()

returns required ancillas

required_ancillas_controlled()

returns required ancillas controlled

returns values

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