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Ultrafast adiabatic quantum algorithm for the NP-complete exact cover problem

An adiabatic quantum algorithm may lose quantumness such as quantum coherence entirely in its long runtime, and consequently the expected quantum speedup of the algorithm does not show up. Here we present a general ultrafast adiabatic quantum algorithm. We show that by applying a sequence of fast ra...

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Detalles Bibliográficos
Autores principales: Wang, Hefeng, Wu, Lian-Ao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4770423/
https://www.ncbi.nlm.nih.gov/pubmed/26923834
http://dx.doi.org/10.1038/srep22307
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author Wang, Hefeng
Wu, Lian-Ao
author_facet Wang, Hefeng
Wu, Lian-Ao
author_sort Wang, Hefeng
collection PubMed
description An adiabatic quantum algorithm may lose quantumness such as quantum coherence entirely in its long runtime, and consequently the expected quantum speedup of the algorithm does not show up. Here we present a general ultrafast adiabatic quantum algorithm. We show that by applying a sequence of fast random or regular signals during evolution, the runtime can be reduced substantially, whereas advantages of the adiabatic algorithm remain intact. We also propose a randomized Trotter formula and show that the driving Hamiltonian and the proposed sequence of fast signals can be implemented simultaneously. We illustrate the algorithm by solving the NP-complete 3-bit exact cover problem (EC3), where NP stands for nondeterministic polynomial time, and put forward an approach to implementing the problem with trapped ions.
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spelling pubmed-47704232016-03-07 Ultrafast adiabatic quantum algorithm for the NP-complete exact cover problem Wang, Hefeng Wu, Lian-Ao Sci Rep Article An adiabatic quantum algorithm may lose quantumness such as quantum coherence entirely in its long runtime, and consequently the expected quantum speedup of the algorithm does not show up. Here we present a general ultrafast adiabatic quantum algorithm. We show that by applying a sequence of fast random or regular signals during evolution, the runtime can be reduced substantially, whereas advantages of the adiabatic algorithm remain intact. We also propose a randomized Trotter formula and show that the driving Hamiltonian and the proposed sequence of fast signals can be implemented simultaneously. We illustrate the algorithm by solving the NP-complete 3-bit exact cover problem (EC3), where NP stands for nondeterministic polynomial time, and put forward an approach to implementing the problem with trapped ions. Nature Publishing Group 2016-02-29 /pmc/articles/PMC4770423/ /pubmed/26923834 http://dx.doi.org/10.1038/srep22307 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Wang, Hefeng
Wu, Lian-Ao
Ultrafast adiabatic quantum algorithm for the NP-complete exact cover problem
title Ultrafast adiabatic quantum algorithm for the NP-complete exact cover problem
title_full Ultrafast adiabatic quantum algorithm for the NP-complete exact cover problem
title_fullStr Ultrafast adiabatic quantum algorithm for the NP-complete exact cover problem
title_full_unstemmed Ultrafast adiabatic quantum algorithm for the NP-complete exact cover problem
title_short Ultrafast adiabatic quantum algorithm for the NP-complete exact cover problem
title_sort ultrafast adiabatic quantum algorithm for the np-complete exact cover problem
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4770423/
https://www.ncbi.nlm.nih.gov/pubmed/26923834
http://dx.doi.org/10.1038/srep22307
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