Cargando…
Quantum Annealing for Prime Factorization
We have developed a framework to convert an arbitrary integer factorization problem to an executable Ising model by first writing it as an optimization function then transforming the k-bit coupling (k ≥ 3) terms to quadratic terms using ancillary variables. Our resource-efficient method uses [Formul...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281593/ https://www.ncbi.nlm.nih.gov/pubmed/30518780 http://dx.doi.org/10.1038/s41598-018-36058-z |
_version_ | 1783378844157214720 |
---|---|
author | Jiang, Shuxian Britt, Keith A. McCaskey, Alexander J. Humble, Travis S. Kais, Sabre |
author_facet | Jiang, Shuxian Britt, Keith A. McCaskey, Alexander J. Humble, Travis S. Kais, Sabre |
author_sort | Jiang, Shuxian |
collection | PubMed |
description | We have developed a framework to convert an arbitrary integer factorization problem to an executable Ising model by first writing it as an optimization function then transforming the k-bit coupling (k ≥ 3) terms to quadratic terms using ancillary variables. Our resource-efficient method uses [Formula: see text] binary variables (qubits) for finding the factors of an integer N. We present how to factorize 15, 143, 59989, and 376289 using 4, 12, 59, and 94 logical qubits, respectively. This method was tested using the D-Wave 2000Q for finding an embedding and determining the prime factors for a given composite number. The method is general and could be used to factor larger integers as the number of available qubits increases, or combined with other ad hoc methods to achieve better performances for specific numbers. |
format | Online Article Text |
id | pubmed-6281593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62815932018-12-07 Quantum Annealing for Prime Factorization Jiang, Shuxian Britt, Keith A. McCaskey, Alexander J. Humble, Travis S. Kais, Sabre Sci Rep Article We have developed a framework to convert an arbitrary integer factorization problem to an executable Ising model by first writing it as an optimization function then transforming the k-bit coupling (k ≥ 3) terms to quadratic terms using ancillary variables. Our resource-efficient method uses [Formula: see text] binary variables (qubits) for finding the factors of an integer N. We present how to factorize 15, 143, 59989, and 376289 using 4, 12, 59, and 94 logical qubits, respectively. This method was tested using the D-Wave 2000Q for finding an embedding and determining the prime factors for a given composite number. The method is general and could be used to factor larger integers as the number of available qubits increases, or combined with other ad hoc methods to achieve better performances for specific numbers. Nature Publishing Group UK 2018-12-05 /pmc/articles/PMC6281593/ /pubmed/30518780 http://dx.doi.org/10.1038/s41598-018-36058-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Jiang, Shuxian Britt, Keith A. McCaskey, Alexander J. Humble, Travis S. Kais, Sabre Quantum Annealing for Prime Factorization |
title | Quantum Annealing for Prime Factorization |
title_full | Quantum Annealing for Prime Factorization |
title_fullStr | Quantum Annealing for Prime Factorization |
title_full_unstemmed | Quantum Annealing for Prime Factorization |
title_short | Quantum Annealing for Prime Factorization |
title_sort | quantum annealing for prime factorization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281593/ https://www.ncbi.nlm.nih.gov/pubmed/30518780 http://dx.doi.org/10.1038/s41598-018-36058-z |
work_keys_str_mv | AT jiangshuxian quantumannealingforprimefactorization AT brittkeitha quantumannealingforprimefactorization AT mccaskeyalexanderj quantumannealingforprimefactorization AT humbletraviss quantumannealingforprimefactorization AT kaissabre quantumannealingforprimefactorization |