Quantum Algorithm for Approximating Maximum Independent Sets

<jats:p>We present a quantum algorithm for approximating maximum independent sets of a graph based on quantum non-Abelian adiabatic mixing in the sub-Hilbert space of degenerate ground states, which generates quantum annealing in a secondary Hamiltonian. For both sparse and dense random graphs...

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Main Authors: Yu, Hongye, Wilczek, Frank, Wu, Biao
Other Authors: Massachusetts Institute of Technology. Center for Theoretical Physics
Format: Article
Language:English
Published: IOP Publishing 2022
Online Access:https://hdl.handle.net/1721.1/142336
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author Yu, Hongye
Wilczek, Frank
Wu, Biao
author2 Massachusetts Institute of Technology. Center for Theoretical Physics
author_facet Massachusetts Institute of Technology. Center for Theoretical Physics
Yu, Hongye
Wilczek, Frank
Wu, Biao
author_sort Yu, Hongye
collection MIT
description <jats:p>We present a quantum algorithm for approximating maximum independent sets of a graph based on quantum non-Abelian adiabatic mixing in the sub-Hilbert space of degenerate ground states, which generates quantum annealing in a secondary Hamiltonian. For both sparse and dense random graphs <jats:italic>G</jats:italic>, numerical simulation suggests that our algorithm on average finds an independent set of size close to the maximum size <jats:italic>α</jats:italic>(<jats:italic>G</jats:italic>) in low polynomial time. The best classical algorithms, by contrast, produce independent sets of size about half of <jats:italic>α</jats:italic>(<jats:italic>G</jats:italic>) in polynomial time.</jats:p>
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spelling mit-1721.1/1423362023-01-20T18:09:18Z Quantum Algorithm for Approximating Maximum Independent Sets Yu, Hongye Wilczek, Frank Wu, Biao Massachusetts Institute of Technology. Center for Theoretical Physics <jats:p>We present a quantum algorithm for approximating maximum independent sets of a graph based on quantum non-Abelian adiabatic mixing in the sub-Hilbert space of degenerate ground states, which generates quantum annealing in a secondary Hamiltonian. For both sparse and dense random graphs <jats:italic>G</jats:italic>, numerical simulation suggests that our algorithm on average finds an independent set of size close to the maximum size <jats:italic>α</jats:italic>(<jats:italic>G</jats:italic>) in low polynomial time. The best classical algorithms, by contrast, produce independent sets of size about half of <jats:italic>α</jats:italic>(<jats:italic>G</jats:italic>) in polynomial time.</jats:p> 2022-05-04T17:56:25Z 2022-05-04T17:56:25Z 2021 2022-05-04T17:12:30Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/142336 Yu, Hongye, Wilczek, Frank and Wu, Biao. 2021. "Quantum Algorithm for Approximating Maximum Independent Sets." Chinese Physics Letters, 38 (3). en 10.1088/0256-307X/38/3/030304 Chinese Physics Letters Attribution-NonCommercial-ShareAlike 4.0 International https://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf IOP Publishing arXiv
spellingShingle Yu, Hongye
Wilczek, Frank
Wu, Biao
Quantum Algorithm for Approximating Maximum Independent Sets
title Quantum Algorithm for Approximating Maximum Independent Sets
title_full Quantum Algorithm for Approximating Maximum Independent Sets
title_fullStr Quantum Algorithm for Approximating Maximum Independent Sets
title_full_unstemmed Quantum Algorithm for Approximating Maximum Independent Sets
title_short Quantum Algorithm for Approximating Maximum Independent Sets
title_sort quantum algorithm for approximating maximum independent sets
url https://hdl.handle.net/1721.1/142336
work_keys_str_mv AT yuhongye quantumalgorithmforapproximatingmaximumindependentsets
AT wilczekfrank quantumalgorithmforapproximatingmaximumindependentsets
AT wubiao quantumalgorithmforapproximatingmaximumindependentsets