This project is archived

Qiskit Finance is no longer maintained and this documentation is no longer updated. It is kept online for reference only, and the code it describes may not work with current versions of Qiskit. See the project repository for more information.

EuropeanCallPricing#

class EuropeanCallPricing(num_state_qubits, strike_price, rescaling_factor, bounds, uncertainty_model)[source]#

Bases: EstimationApplication

Estimation application for the European Call Option Expected Value. Evaluates the expected payoff for a European call option given an uncertainty model. The payoff function is f(S, K) = max(0, S - K) for a spot price S and strike price K.

Parameters:
  • num_state_qubits (int) – The number of qubits used to represent the random variable.

  • strike_price (float) – strike price of the European option

  • rescaling_factor (float) – approximation factor for linear payoff

  • bounds (Tuple[float, float]) – The tuple of the bounds, (min, max), of the discretized random variable.

  • uncertainty_model (QuantumCircuit) – A circuit for encoding a problem distribution

Methods

interpret(result)[source]#

Convert the calculation result of the problem (qiskit_algorithms.AmplitudeEstimatorResult) to the answer of the problem.

Parameters:

result (AmplitudeEstimatorResult) – The calculated result of the problem

Returns:

The estimation value after the post_processing.

Return type:

float

to_estimation_problem()[source]#

Convert a problem instance into a qiskit_algorithms.EstimationProblem

Returns:

The qiskit_algorithms.EstimationProblem created from the European call pricing problem instance.

Return type:

EstimationProblem