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qiskit.algorithms.MaximumLikelihoodAmplitudeEstimation.compute_mle

MaximumLikelihoodAmplitudeEstimation.compute_mle(circuit_results, estimation_problem, num_state_qubits=None, return_counts=False)[source]

Compute the MLE via a grid-search.

This is a stable approach if sufficient gridpoints are used.

প্যারামিটার
  • circuit_results (list[dict[str, int] | np.ndarray]) -- A list of circuit outcomes. Can be counts or statevectors.

  • estimation_problem (EstimationProblem) -- The estimation problem containing the evaluation schedule and the number of likelihood function evaluations used to find the minimum.

  • num_state_qubits (int | None) -- The number of state qubits, required for statevector simulations.

  • return_counts (bool) -- If True, returns the good counts.

রিটার্নস

The MLE for the provided result object.

রিটার্ন টাইপ

float | tuple[float, list[float]]