NumPyLinearSolver¶

class NumPyLinearSolver[source]¶

Bases: qiskit.algorithms.linear_solvers.linear_solver.LinearSolver

The Numpy Linear Solver algorithm (classical).

This linear system solver computes the exact value of the given observable(s) or the full solution vector if no observable is specified.

Examples

import numpy as np
from qiskit.algorithms import NumPyLinearSolver
from qiskit.algorithms.linear_solvers.matrices import TridiagonalToeplitz
from qiskit.algorithms.linear_solvers.observables import MatrixFunctional

matrix = TridiagonalToeplitz(2, 1, 1 / 3, trotter_steps=2)
right_hand_side = [1.0, -2.1, 3.2, -4.3]
observable = MatrixFunctional(1, 1 / 2)
rhs = right_hand_side / np.linalg.norm(right_hand_side)

np_solver = NumPyLinearSolver()
solution = np_solver.solve(matrix, rhs, observable)
result = solution.observable

Methods

solve

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