Matrix Inversion by Quantum Walk

Fuente: arXiv
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Main Authors: Kay, Alastair, Tamon, Christino
Format: Preprint
Published: 2025
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author Kay, Alastair
Tamon, Christino
author_facet Kay, Alastair
Tamon, Christino
contents The HHL algorithm for matrix inversion is a landmark algorithm in quantum computation. Its ability to produce a state $|x\rangle$ that is the solution of $Ax=b$, given the input state $|b\rangle$, is envisaged to have diverse applications. In this paper, we substantially simplify the algorithm, originally formed of a complex sequence of phase estimations, amplitude amplifications and Hamiltonian simulations, by replacing the phase estimations with a continuous time quantum walk. The key technique is the use of weak couplings to access the matrix inversion embedded in perturbation theory.
format Preprint
id arxiv_https___arxiv_org_abs_2508_06611
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Matrix Inversion by Quantum Walk
Kay, Alastair
Tamon, Christino
Quantum Physics
The HHL algorithm for matrix inversion is a landmark algorithm in quantum computation. Its ability to produce a state $|x\rangle$ that is the solution of $Ax=b$, given the input state $|b\rangle$, is envisaged to have diverse applications. In this paper, we substantially simplify the algorithm, originally formed of a complex sequence of phase estimations, amplitude amplifications and Hamiltonian simulations, by replacing the phase estimations with a continuous time quantum walk. The key technique is the use of weak couplings to access the matrix inversion embedded in perturbation theory.
title Matrix Inversion by Quantum Walk
topic Quantum Physics
url https://arxiv.org/abs/2508.06611