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UnivariateProblem

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

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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

num_target_qubits

Returns the number of target qubits


Methods

build

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

Adds 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)
  • params (list) – parameters for circuit

build_controlled

UnivariateProblem.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

UnivariateProblem.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

UnivariateProblem.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

UnivariateProblem.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

UnivariateProblem.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

UnivariateProblem.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

UnivariateProblem.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

UnivariateProblem.get_num_qubits()

returns number of qubits

get_num_qubits_controlled

UnivariateProblem.get_num_qubits_controlled()

returns number of qubits controlled

required_ancillas

UnivariateProblem.required_ancillas()

returns required ancillas

required_ancillas_controlled

UnivariateProblem.required_ancillas_controlled()

returns required ancillas controlled

value_to_estimation

UnivariateProblem.value_to_estimation(value)

value to estimate

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