Quantum computing for transport optimization
We explore the near-term intersection of quantum computing with the transport sector. To support near-term integration, we introduce a framework for assessing the suitability of transport optimization problems for obtaining potential performance enhancement using quantum algorithms. Given a suitable...
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| creator | Bentley, Christopher D. B Marsh, Samuel Carvalho, André R. R Kilby, Philip Biercuk, Michael J |
| description | We explore the near-term intersection of quantum computing with the transport
sector. To support near-term integration, we introduce a framework for
assessing the suitability of transport optimization problems for obtaining
potential performance enhancement using quantum algorithms. Given a suitable
problem, we then present a workflow for obtaining valuable transport solutions
using quantum computers, articulate the limitations on contemporary systems,
and describe newly available performance-enhancing tools applicable to current
commercial quantum computing systems. We make this integration process concrete
by following the assessment framework and integration workflow for an exemplary
vehicle routing optimization problem: the Capacitated Vehicle Routing Problem.
We present novel advances to exponentially reduce the required computational
resources, and experimentally demonstrate a prototype implementation exhibiting
over 20X circuit performance enhancement on a real quantum device. |
| doi_str_mv | 10.48550/arxiv.2206.07313 |
| format | Article |
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sector. To support near-term integration, we introduce a framework for
assessing the suitability of transport optimization problems for obtaining
potential performance enhancement using quantum algorithms. Given a suitable
problem, we then present a workflow for obtaining valuable transport solutions
using quantum computers, articulate the limitations on contemporary systems,
and describe newly available performance-enhancing tools applicable to current
commercial quantum computing systems. We make this integration process concrete
by following the assessment framework and integration workflow for an exemplary
vehicle routing optimization problem: the Capacitated Vehicle Routing Problem.
We present novel advances to exponentially reduce the required computational
resources, and experimentally demonstrate a prototype implementation exhibiting
over 20X circuit performance enhancement on a real quantum device.</description><identifier>DOI: 10.48550/arxiv.2206.07313</identifier><language>eng</language><subject>Physics - Quantum Physics</subject><creationdate>2022-06</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a1153-365635b0d95ea3b5a3b18a1fb4eb4079d4fb9d016995cb06041cd71a25fa133a3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2206.07313$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2206.07313$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Bentley, Christopher D. B</creatorcontrib><creatorcontrib>Marsh, Samuel</creatorcontrib><creatorcontrib>Carvalho, André R. R</creatorcontrib><creatorcontrib>Kilby, Philip</creatorcontrib><creatorcontrib>Biercuk, Michael J</creatorcontrib><title>Quantum computing for transport optimization</title><description>We explore the near-term intersection of quantum computing with the transport
sector. To support near-term integration, we introduce a framework for
assessing the suitability of transport optimization problems for obtaining
potential performance enhancement using quantum algorithms. Given a suitable
problem, we then present a workflow for obtaining valuable transport solutions
using quantum computers, articulate the limitations on contemporary systems,
and describe newly available performance-enhancing tools applicable to current
commercial quantum computing systems. We make this integration process concrete
by following the assessment framework and integration workflow for an exemplary
vehicle routing optimization problem: the Capacitated Vehicle Routing Problem.
We present novel advances to exponentially reduce the required computational
resources, and experimentally demonstrate a prototype implementation exhibiting
over 20X circuit performance enhancement on a real quantum device.</description><subject>Physics - Quantum Physics</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotzs1KxDAUhuFsXMjoBbiyFzCt5_TkpJOlDP7BwCDoupy0zRCwTcmkol69Orr4eHcfj1JXCJXeMMONpI_wXtU1mAoaQjpX6-dFpryMRRfHeclhOhQ-piInmY5zTLmIcw5j-JIc4nShzry8HYfL_67U6_3dy_ax3O0fnra3u1IQmUoybIgd9JYHIcc_w42gd3pwGhrba-9sD2is5c6BAY1d36DU7AWJhFbq-u_35G3nFEZJn-2vuz256Ru-jD1Q</recordid><startdate>20220615</startdate><enddate>20220615</enddate><creator>Bentley, Christopher D. B</creator><creator>Marsh, Samuel</creator><creator>Carvalho, André R. R</creator><creator>Kilby, Philip</creator><creator>Biercuk, Michael J</creator><scope>GOX</scope></search><sort><creationdate>20220615</creationdate><title>Quantum computing for transport optimization</title><author>Bentley, Christopher D. B ; Marsh, Samuel ; Carvalho, André R. R ; Kilby, Philip ; Biercuk, Michael J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a1153-365635b0d95ea3b5a3b18a1fb4eb4079d4fb9d016995cb06041cd71a25fa133a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Physics - Quantum Physics</topic><toplevel>online_resources</toplevel><creatorcontrib>Bentley, Christopher D. B</creatorcontrib><creatorcontrib>Marsh, Samuel</creatorcontrib><creatorcontrib>Carvalho, André R. R</creatorcontrib><creatorcontrib>Kilby, Philip</creatorcontrib><creatorcontrib>Biercuk, Michael J</creatorcontrib><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bentley, Christopher D. B</au><au>Marsh, Samuel</au><au>Carvalho, André R. R</au><au>Kilby, Philip</au><au>Biercuk, Michael J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantum computing for transport optimization</atitle><date>2022-06-15</date><risdate>2022</risdate><abstract>We explore the near-term intersection of quantum computing with the transport
sector. To support near-term integration, we introduce a framework for
assessing the suitability of transport optimization problems for obtaining
potential performance enhancement using quantum algorithms. Given a suitable
problem, we then present a workflow for obtaining valuable transport solutions
using quantum computers, articulate the limitations on contemporary systems,
and describe newly available performance-enhancing tools applicable to current
commercial quantum computing systems. We make this integration process concrete
by following the assessment framework and integration workflow for an exemplary
vehicle routing optimization problem: the Capacitated Vehicle Routing Problem.
We present novel advances to exponentially reduce the required computational
resources, and experimentally demonstrate a prototype implementation exhibiting
over 20X circuit performance enhancement on a real quantum device.</abstract><doi>10.48550/arxiv.2206.07313</doi><oa>free_for_read</oa></addata></record> |
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| identifier | DOI: 10.48550/arxiv.2206.07313 |
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| language | eng |
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| source | arXiv.org |
| subjects | Physics - Quantum Physics |
| title | Quantum computing for transport optimization |
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