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Prime factorization using quantum annealing and computational algebraic geometry
We investigate prime factorization from two perspectives: quantum annealing and computational algebraic geometry, specifically Gröbner bases. We present a novel autonomous algorithm which combines the two approaches and leads to the factorization of all bi-primes up to just over 200000, the largest...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5318873/ https://www.ncbi.nlm.nih.gov/pubmed/28220854 http://dx.doi.org/10.1038/srep43048 |
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author | Dridi, Raouf Alghassi, Hedayat |
author_facet | Dridi, Raouf Alghassi, Hedayat |
author_sort | Dridi, Raouf |
collection | PubMed |
description | We investigate prime factorization from two perspectives: quantum annealing and computational algebraic geometry, specifically Gröbner bases. We present a novel autonomous algorithm which combines the two approaches and leads to the factorization of all bi-primes up to just over 200000, the largest number factored to date using a quantum processor. We also explain how Gröbner bases can be used to reduce the degree of Hamiltonians. |
format | Online Article Text |
id | pubmed-5318873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53188732017-02-24 Prime factorization using quantum annealing and computational algebraic geometry Dridi, Raouf Alghassi, Hedayat Sci Rep Article We investigate prime factorization from two perspectives: quantum annealing and computational algebraic geometry, specifically Gröbner bases. We present a novel autonomous algorithm which combines the two approaches and leads to the factorization of all bi-primes up to just over 200000, the largest number factored to date using a quantum processor. We also explain how Gröbner bases can be used to reduce the degree of Hamiltonians. Nature Publishing Group 2017-02-21 /pmc/articles/PMC5318873/ /pubmed/28220854 http://dx.doi.org/10.1038/srep43048 Text en Copyright © 2017, The Author(s) 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 Dridi, Raouf Alghassi, Hedayat Prime factorization using quantum annealing and computational algebraic geometry |
title | Prime factorization using quantum annealing and computational algebraic geometry |
title_full | Prime factorization using quantum annealing and computational algebraic geometry |
title_fullStr | Prime factorization using quantum annealing and computational algebraic geometry |
title_full_unstemmed | Prime factorization using quantum annealing and computational algebraic geometry |
title_short | Prime factorization using quantum annealing and computational algebraic geometry |
title_sort | prime factorization using quantum annealing and computational algebraic geometry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5318873/ https://www.ncbi.nlm.nih.gov/pubmed/28220854 http://dx.doi.org/10.1038/srep43048 |
work_keys_str_mv | AT dridiraouf primefactorizationusingquantumannealingandcomputationalalgebraicgeometry AT alghassihedayat primefactorizationusingquantumannealingandcomputationalalgebraicgeometry |