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Convergence rate of algorithms for solving linear equations by quantum annealing

Abstract

We consider various iterative algorithms for solving the linear equation using a quantum computer operating on the principle of quantum annealing. Assuming that the computer's output is described by the Boltzmann distribution, it is shown under which conditions the equation-solving algorithms converge, and an estimate of their convergence rate is provided. The application of this approach to algorithms using both an infinite number of qubits and a small number of qubits is discussed.

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