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qiskit.algorithms.NumPyLinearSolver.solve

NumPyLinearSolver.solve(matrix, vector, observable=None, observable_circuit=None, post_processing=None)[source]

Solve classically the linear system and compute the observable(s)

Parameters

  • matrix (Union[ndarray, QuantumCircuit]) – The matrix specifying the system, i.e. A in Ax=b.

  • vector (Union[ndarray, QuantumCircuit]) – The vector specifying the right hand side of the equation in Ax=b.

  • observable (Union[LinearSystemObservable, BaseOperator, List[BaseOperator], None]) – Optional information to be extracted from the solution. Default is the probability of success of the algorithm.

  • observable_circuit (Union[QuantumCircuit, List[QuantumCircuit], None]) – Optional circuit to be applied to the solution to extract information. Default is None.

  • post_processing (Optional[Callable[[Union[float, List[float]]], Union[float, List[float]]]]) – Optional function to compute the value of the observable. Default is the raw value of measuring the observable.

Return type

LinearSolverResult

Returns

The result of the linear system.