UnivariateProblem

class UnivariateProblem(uncertainty_model, univariate_objective, i_state=None, i_objective=None)

Univariate uncertainty problem.

Constructor.

Parameters

• uncertainty_model (UnivariateDistribution) – univariate uncertainty model to

• univariate_objective (UnivariatePiecewiseLinearObjective) – objective function based on uncertainty

• i_state (Optional[int]) – indices of qubits representing uncertainty

• i_objective (Optional[int]) – index of qubit representing the objective value in the amplitude

Attributes

UnivariateProblem.num_target_qubits

Returns the number of target qubits

Methods

UnivariateProblem.build(qc, q[, q_ancillas, …])	Adds corresponding sub-circuit to given circuit
UnivariateProblem.build_controlled(qc, q, …)	Adds corresponding controlled sub-circuit to given circuit
UnivariateProblem.build_controlled_inverse(qc, …)	Adds controlled inverse of corresponding sub-circuit to given circuit
UnivariateProblem.build_controlled_inverse_power(qc, …)	Adds controlled, inverse, power of corresponding circuit.
UnivariateProblem.build_controlled_power(qc, …)	Adds controlled power of corresponding circuit.
UnivariateProblem.build_inverse(qc, q[, …])	Adds inverse of corresponding sub-circuit to given circuit
UnivariateProblem.build_inverse_power(qc, q, …)	Adds inverse power of corresponding circuit.
UnivariateProblem.build_power(qc, q, power)	Adds power of corresponding circuit.
UnivariateProblem.get_num_qubits()	returns number of qubits
UnivariateProblem.get_num_qubits_controlled()	returns number of qubits controlled
UnivariateProblem.required_ancillas()	returns required ancillas
UnivariateProblem.required_ancillas_controlled()	returns required ancillas controlled
UnivariateProblem.value_to_estimation(value)	value to estimate