Controlled precision QUBO-based algorithm to compute eigenvectors of symmetric matrices.

We describe an algorithm to compute the extremal eigenvalues and corresponding eigenvectors of a symmetric matrix which is based on solving a sequence of Quadratic Binary Optimization problems. This algorithm is robust across many different classes of symmetric matrices; It can compute the eigenvect...

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Main Authors: Benjamin Krakoff, Susan M Mniszewski, Christian F A Negre
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0267954
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author Benjamin Krakoff
Susan M Mniszewski
Christian F A Negre
author_facet Benjamin Krakoff
Susan M Mniszewski
Christian F A Negre
author_sort Benjamin Krakoff
collection DOAJ
description We describe an algorithm to compute the extremal eigenvalues and corresponding eigenvectors of a symmetric matrix which is based on solving a sequence of Quadratic Binary Optimization problems. This algorithm is robust across many different classes of symmetric matrices; It can compute the eigenvector/eigenvalue pair to essentially any arbitrary precision, and with minor modifications, can also solve the generalized eigenvalue problem. Performance is analyzed on small random matrices and selected larger matrices from practical applications.
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spelling doaj.art-ee95e45b4a3b45bf9e471fdbea2671762022-12-22T00:23:15ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01175e026795410.1371/journal.pone.0267954Controlled precision QUBO-based algorithm to compute eigenvectors of symmetric matrices.Benjamin KrakoffSusan M MniszewskiChristian F A NegreWe describe an algorithm to compute the extremal eigenvalues and corresponding eigenvectors of a symmetric matrix which is based on solving a sequence of Quadratic Binary Optimization problems. This algorithm is robust across many different classes of symmetric matrices; It can compute the eigenvector/eigenvalue pair to essentially any arbitrary precision, and with minor modifications, can also solve the generalized eigenvalue problem. Performance is analyzed on small random matrices and selected larger matrices from practical applications.https://doi.org/10.1371/journal.pone.0267954
spellingShingle Benjamin Krakoff
Susan M Mniszewski
Christian F A Negre
Controlled precision QUBO-based algorithm to compute eigenvectors of symmetric matrices.
PLoS ONE
title Controlled precision QUBO-based algorithm to compute eigenvectors of symmetric matrices.
title_full Controlled precision QUBO-based algorithm to compute eigenvectors of symmetric matrices.
title_fullStr Controlled precision QUBO-based algorithm to compute eigenvectors of symmetric matrices.
title_full_unstemmed Controlled precision QUBO-based algorithm to compute eigenvectors of symmetric matrices.
title_short Controlled precision QUBO-based algorithm to compute eigenvectors of symmetric matrices.
title_sort controlled precision qubo based algorithm to compute eigenvectors of symmetric matrices
url https://doi.org/10.1371/journal.pone.0267954
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AT susanmmniszewski controlledprecisionqubobasedalgorithmtocomputeeigenvectorsofsymmetricmatrices
AT christianfanegre controlledprecisionqubobasedalgorithmtocomputeeigenvectorsofsymmetricmatrices