Hybrid Quantum Solvers in Production: how to succeed in the NISQ era?
Hybrid quantum computing is considered the present and the future within the field of quantum computing. Far from being a passing fad, this trend cannot be considered just a stopgap to address the limitations of NISQ-era devices. The foundations linking both computing paradigms will remain robust ov...
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creator | Osaba, Eneko Villar-Rodriguez, Esther Gomez-Tejedor, Aitor Oregi, Izaskun |
description | Hybrid quantum computing is considered the present and the future within the
field of quantum computing. Far from being a passing fad, this trend cannot be
considered just a stopgap to address the limitations of NISQ-era devices. The
foundations linking both computing paradigms will remain robust over time. The
contribution of this work is twofold: first, we describe and categorize some of
the most frequently used hybrid solvers, resorting to two different taxonomies
recently published in the literature. Secondly, we put a special focus on two
solvers that are currently deployed in real production and that have
demonstrated to be near the real industry. These solvers are the
LeapHybridBQMSampler contained in D-Wave's Hybrid Solver Service and
Quantagonia's Hybrid Solver. We analyze the performance of both methods using
as benchmarks four combinatorial optimization problems. |
doi_str_mv | 10.48550/arxiv.2401.10302 |
format | Article |
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field of quantum computing. Far from being a passing fad, this trend cannot be
considered just a stopgap to address the limitations of NISQ-era devices. The
foundations linking both computing paradigms will remain robust over time. The
contribution of this work is twofold: first, we describe and categorize some of
the most frequently used hybrid solvers, resorting to two different taxonomies
recently published in the literature. Secondly, we put a special focus on two
solvers that are currently deployed in real production and that have
demonstrated to be near the real industry. These solvers are the
LeapHybridBQMSampler contained in D-Wave's Hybrid Solver Service and
Quantagonia's Hybrid Solver. We analyze the performance of both methods using
as benchmarks four combinatorial optimization problems.</description><identifier>DOI: 10.48550/arxiv.2401.10302</identifier><language>eng</language><subject>Computer Science - Emerging Technologies ; Physics - Quantum Physics</subject><creationdate>2024-01</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,781,886</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2401.10302$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2401.10302$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Osaba, Eneko</creatorcontrib><creatorcontrib>Villar-Rodriguez, Esther</creatorcontrib><creatorcontrib>Gomez-Tejedor, Aitor</creatorcontrib><creatorcontrib>Oregi, Izaskun</creatorcontrib><title>Hybrid Quantum Solvers in Production: how to succeed in the NISQ era?</title><description>Hybrid quantum computing is considered the present and the future within the
field of quantum computing. Far from being a passing fad, this trend cannot be
considered just a stopgap to address the limitations of NISQ-era devices. The
foundations linking both computing paradigms will remain robust over time. The
contribution of this work is twofold: first, we describe and categorize some of
the most frequently used hybrid solvers, resorting to two different taxonomies
recently published in the literature. Secondly, we put a special focus on two
solvers that are currently deployed in real production and that have
demonstrated to be near the real industry. These solvers are the
LeapHybridBQMSampler contained in D-Wave's Hybrid Solver Service and
Quantagonia's Hybrid Solver. We analyze the performance of both methods using
as benchmarks four combinatorial optimization problems.</description><subject>Computer Science - Emerging Technologies</subject><subject>Physics - Quantum Physics</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotz8FqwkAUheHZdFGsD9BV7wskvTOTTGI3pYitgmhF9-Fm5gYHNCOTxNa3L1pXZ_HDgU-IZ4lpVuY5vlL89edUZShTiRrVo5jNL3X0DjYDtf1whG04nDl24Fv4jsENtvehfYN9-IE-QDdYy-yutd8zrBbbDXCk9yfx0NCh4_F9R2L3OdtN58ly_bWYfiwTMoVKZCMtGV0oYyWWJtcuJ0dcKNKWkGvXuJIMSdIT5RiRam1oQorY1EXWZHokXv5vb47qFP2R4qW6eqqbR_8BMXVFSQ</recordid><startdate>20240118</startdate><enddate>20240118</enddate><creator>Osaba, Eneko</creator><creator>Villar-Rodriguez, Esther</creator><creator>Gomez-Tejedor, Aitor</creator><creator>Oregi, Izaskun</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20240118</creationdate><title>Hybrid Quantum Solvers in Production: how to succeed in the NISQ era?</title><author>Osaba, Eneko ; Villar-Rodriguez, Esther ; Gomez-Tejedor, Aitor ; Oregi, Izaskun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a672-1f1ca63726c108653d5adae72a3ca0ebdfd8a6a1a392de00ab36a9a2ae6b74f43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Computer Science - Emerging Technologies</topic><topic>Physics - Quantum Physics</topic><toplevel>online_resources</toplevel><creatorcontrib>Osaba, Eneko</creatorcontrib><creatorcontrib>Villar-Rodriguez, Esther</creatorcontrib><creatorcontrib>Gomez-Tejedor, Aitor</creatorcontrib><creatorcontrib>Oregi, Izaskun</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Osaba, Eneko</au><au>Villar-Rodriguez, Esther</au><au>Gomez-Tejedor, Aitor</au><au>Oregi, Izaskun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hybrid Quantum Solvers in Production: how to succeed in the NISQ era?</atitle><date>2024-01-18</date><risdate>2024</risdate><abstract>Hybrid quantum computing is considered the present and the future within the
field of quantum computing. Far from being a passing fad, this trend cannot be
considered just a stopgap to address the limitations of NISQ-era devices. The
foundations linking both computing paradigms will remain robust over time. The
contribution of this work is twofold: first, we describe and categorize some of
the most frequently used hybrid solvers, resorting to two different taxonomies
recently published in the literature. Secondly, we put a special focus on two
solvers that are currently deployed in real production and that have
demonstrated to be near the real industry. These solvers are the
LeapHybridBQMSampler contained in D-Wave's Hybrid Solver Service and
Quantagonia's Hybrid Solver. We analyze the performance of both methods using
as benchmarks four combinatorial optimization problems.</abstract><doi>10.48550/arxiv.2401.10302</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Emerging Technologies Physics - Quantum Physics |
title | Hybrid Quantum Solvers in Production: how to succeed in the NISQ era? |
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