Quantum annealing: An introduction and new developments
Quantum annealing is a generic algorithm using quantum-mechanical fluctuations to search for the solution of an optimization problem. The present paper first reviews the fundamentals of quantum annealing and then reports on preliminary results for an alternative method. The review part includes the...
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creator | Ohzeki, Masayuki Nishimori, Hidetoshi |
description | Quantum annealing is a generic algorithm using quantum-mechanical
fluctuations to search for the solution of an optimization problem. The present
paper first reviews the fundamentals of quantum annealing and then reports on
preliminary results for an alternative method. The review part includes the
relationship of quantum annealing with classical simulated annealing. We next
propose a novel quantum algorithm which might be available for hard
optimization problems by using a classical-quantum mapping as well as the
Jarzynski equality introduced in nonequilibrium statistical physics. |
doi_str_mv | 10.48550/arxiv.1006.1696 |
format | Article |
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fluctuations to search for the solution of an optimization problem. The present
paper first reviews the fundamentals of quantum annealing and then reports on
preliminary results for an alternative method. The review part includes the
relationship of quantum annealing with classical simulated annealing. We next
propose a novel quantum algorithm which might be available for hard
optimization problems by using a classical-quantum mapping as well as the
Jarzynski equality introduced in nonequilibrium statistical physics.</description><identifier>DOI: 10.48550/arxiv.1006.1696</identifier><language>eng</language><subject>Physics - Disordered Systems and Neural Networks ; Physics - Quantum Physics ; Physics - Statistical Mechanics</subject><creationdate>2010-06</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,777,882</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1006.1696$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1006.1696$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Ohzeki, Masayuki</creatorcontrib><creatorcontrib>Nishimori, Hidetoshi</creatorcontrib><title>Quantum annealing: An introduction and new developments</title><description>Quantum annealing is a generic algorithm using quantum-mechanical
fluctuations to search for the solution of an optimization problem. The present
paper first reviews the fundamentals of quantum annealing and then reports on
preliminary results for an alternative method. The review part includes the
relationship of quantum annealing with classical simulated annealing. We next
propose a novel quantum algorithm which might be available for hard
optimization problems by using a classical-quantum mapping as well as the
Jarzynski equality introduced in nonequilibrium statistical physics.</description><subject>Physics - Disordered Systems and Neural Networks</subject><subject>Physics - Quantum Physics</subject><subject>Physics - Statistical Mechanics</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj8tqwzAQRbXpoqTddxX0A3b0sCZOdyGkDwiEQPZmJI2KwB4Hx07bv2_SdnUXl3u4R4gnrcqqdk4tcPjKl1IrBaWGFdyL5WFCHqdOIjNhm_njWa5ZZh6HPk5hzD1fqyiZPmWkC7X9qSMezw_iLmF7psf_nInjy_a4eSt2-9f3zXpXIDgotPMWAilKxntrYFVBQAyefDQIJkEdvE3Bq9o6m5KuvTYGquSX1wlW0c7E_A_7e7w5DbnD4bu5CTQ3AfsDVMpBhQ</recordid><startdate>20100608</startdate><enddate>20100608</enddate><creator>Ohzeki, Masayuki</creator><creator>Nishimori, Hidetoshi</creator><scope>GOX</scope></search><sort><creationdate>20100608</creationdate><title>Quantum annealing: An introduction and new developments</title><author>Ohzeki, Masayuki ; Nishimori, Hidetoshi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a656-15b36ce0ef2bb326946caacbebd2a62f68cb3fcb08353ff18b12264fb70efa4d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Physics - Disordered Systems and Neural Networks</topic><topic>Physics - Quantum Physics</topic><topic>Physics - Statistical Mechanics</topic><toplevel>online_resources</toplevel><creatorcontrib>Ohzeki, Masayuki</creatorcontrib><creatorcontrib>Nishimori, Hidetoshi</creatorcontrib><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ohzeki, Masayuki</au><au>Nishimori, Hidetoshi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantum annealing: An introduction and new developments</atitle><date>2010-06-08</date><risdate>2010</risdate><abstract>Quantum annealing is a generic algorithm using quantum-mechanical
fluctuations to search for the solution of an optimization problem. The present
paper first reviews the fundamentals of quantum annealing and then reports on
preliminary results for an alternative method. The review part includes the
relationship of quantum annealing with classical simulated annealing. We next
propose a novel quantum algorithm which might be available for hard
optimization problems by using a classical-quantum mapping as well as the
Jarzynski equality introduced in nonequilibrium statistical physics.</abstract><doi>10.48550/arxiv.1006.1696</doi><oa>free_for_read</oa></addata></record> |
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subjects | Physics - Disordered Systems and Neural Networks Physics - Quantum Physics Physics - Statistical Mechanics |
title | Quantum annealing: An introduction and new developments |
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