SupermarQ: A Scalable Quantum Benchmark Suite
The emergence of quantum computers as a new computational paradigm has been accompanied by speculation concerning the scope and timeline of their anticipated revolutionary changes. While quantum computing is still in its infancy, the variety of different architectures used to implement quantum compu...
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creator | Tomesh, Teague Gokhale, Pranav Omole, Victory Ravi, Gokul Subramanian Smith, Kaitlin N Viszlai, Joshua Wu, Xin-Chuan Hardavellas, Nikos Martonosi, Margaret R Chong, Frederic T |
description | The emergence of quantum computers as a new computational paradigm has been
accompanied by speculation concerning the scope and timeline of their
anticipated revolutionary changes. While quantum computing is still in its
infancy, the variety of different architectures used to implement quantum
computations make it difficult to reliably measure and compare performance.
This problem motivates our introduction of SupermarQ, a scalable,
hardware-agnostic quantum benchmark suite which uses application-level metrics
to measure performance. SupermarQ is the first attempt to systematically apply
techniques from classical benchmarking methodology to the quantum domain. We
define a set of feature vectors to quantify coverage, select applications from
a variety of domains to ensure the suite is representative of real workloads,
and collect benchmark results from the IBM, IonQ, and AQT@LBNL platforms.
Looking forward, we envision that quantum benchmarking will encompass a large
cross-community effort built on open source, constantly evolving benchmark
suites. We introduce SupermarQ as an important step in this direction. |
doi_str_mv | 10.48550/arxiv.2202.11045 |
format | Article |
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accompanied by speculation concerning the scope and timeline of their
anticipated revolutionary changes. While quantum computing is still in its
infancy, the variety of different architectures used to implement quantum
computations make it difficult to reliably measure and compare performance.
This problem motivates our introduction of SupermarQ, a scalable,
hardware-agnostic quantum benchmark suite which uses application-level metrics
to measure performance. SupermarQ is the first attempt to systematically apply
techniques from classical benchmarking methodology to the quantum domain. We
define a set of feature vectors to quantify coverage, select applications from
a variety of domains to ensure the suite is representative of real workloads,
and collect benchmark results from the IBM, IonQ, and AQT@LBNL platforms.
Looking forward, we envision that quantum benchmarking will encompass a large
cross-community effort built on open source, constantly evolving benchmark
suites. We introduce SupermarQ as an important step in this direction.</description><identifier>DOI: 10.48550/arxiv.2202.11045</identifier><language>eng</language><subject>Computer Science - Hardware Architecture ; Physics - Quantum Physics</subject><creationdate>2022-02</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>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,781,886</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2202.11045$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2202.11045$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Tomesh, Teague</creatorcontrib><creatorcontrib>Gokhale, Pranav</creatorcontrib><creatorcontrib>Omole, Victory</creatorcontrib><creatorcontrib>Ravi, Gokul Subramanian</creatorcontrib><creatorcontrib>Smith, Kaitlin N</creatorcontrib><creatorcontrib>Viszlai, Joshua</creatorcontrib><creatorcontrib>Wu, Xin-Chuan</creatorcontrib><creatorcontrib>Hardavellas, Nikos</creatorcontrib><creatorcontrib>Martonosi, Margaret R</creatorcontrib><creatorcontrib>Chong, Frederic T</creatorcontrib><title>SupermarQ: A Scalable Quantum Benchmark Suite</title><description>The emergence of quantum computers as a new computational paradigm has been
accompanied by speculation concerning the scope and timeline of their
anticipated revolutionary changes. While quantum computing is still in its
infancy, the variety of different architectures used to implement quantum
computations make it difficult to reliably measure and compare performance.
This problem motivates our introduction of SupermarQ, a scalable,
hardware-agnostic quantum benchmark suite which uses application-level metrics
to measure performance. SupermarQ is the first attempt to systematically apply
techniques from classical benchmarking methodology to the quantum domain. We
define a set of feature vectors to quantify coverage, select applications from
a variety of domains to ensure the suite is representative of real workloads,
and collect benchmark results from the IBM, IonQ, and AQT@LBNL platforms.
Looking forward, we envision that quantum benchmarking will encompass a large
cross-community effort built on open source, constantly evolving benchmark
suites. We introduce SupermarQ as an important step in this direction.</description><subject>Computer Science - Hardware Architecture</subject><subject>Physics - Quantum Physics</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotzrkKwkAUheFpLER9ACvnBRLv3FmS2Km4QUAk9uFOMoPBKBKN6Nu7Vqf44fAxNhQQqlhrGFPzqO4hImAoBCjdZUHWXlxzomY34VOeFVSTrR3ftXS-tSc-c-fi8K5HnrXVzfVZx1N9dYP_9th-udjP10G6XW3m0zQgE-nAlYWJyCZKGxBg0SnyUAJYKI03IJW3VEQ-Vqg8EiYRQiw1eoVCgjGJ7LHR7_brzS9N9SY88487_7rlC8KgO0I</recordid><startdate>20220222</startdate><enddate>20220222</enddate><creator>Tomesh, Teague</creator><creator>Gokhale, Pranav</creator><creator>Omole, Victory</creator><creator>Ravi, Gokul Subramanian</creator><creator>Smith, Kaitlin N</creator><creator>Viszlai, Joshua</creator><creator>Wu, Xin-Chuan</creator><creator>Hardavellas, Nikos</creator><creator>Martonosi, Margaret R</creator><creator>Chong, Frederic T</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20220222</creationdate><title>SupermarQ: A Scalable Quantum Benchmark Suite</title><author>Tomesh, Teague ; Gokhale, Pranav ; Omole, Victory ; Ravi, Gokul Subramanian ; Smith, Kaitlin N ; Viszlai, Joshua ; Wu, Xin-Chuan ; Hardavellas, Nikos ; Martonosi, Margaret R ; Chong, Frederic T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a675-edc67ab9456010b2e4af0d00b0d6f6034fbac7f8424f2a297208352f421306693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Computer Science - Hardware Architecture</topic><topic>Physics - Quantum Physics</topic><toplevel>online_resources</toplevel><creatorcontrib>Tomesh, Teague</creatorcontrib><creatorcontrib>Gokhale, Pranav</creatorcontrib><creatorcontrib>Omole, Victory</creatorcontrib><creatorcontrib>Ravi, Gokul Subramanian</creatorcontrib><creatorcontrib>Smith, Kaitlin N</creatorcontrib><creatorcontrib>Viszlai, Joshua</creatorcontrib><creatorcontrib>Wu, Xin-Chuan</creatorcontrib><creatorcontrib>Hardavellas, Nikos</creatorcontrib><creatorcontrib>Martonosi, Margaret R</creatorcontrib><creatorcontrib>Chong, Frederic T</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tomesh, Teague</au><au>Gokhale, Pranav</au><au>Omole, Victory</au><au>Ravi, Gokul Subramanian</au><au>Smith, Kaitlin N</au><au>Viszlai, Joshua</au><au>Wu, Xin-Chuan</au><au>Hardavellas, Nikos</au><au>Martonosi, Margaret R</au><au>Chong, Frederic T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SupermarQ: A Scalable Quantum Benchmark Suite</atitle><date>2022-02-22</date><risdate>2022</risdate><abstract>The emergence of quantum computers as a new computational paradigm has been
accompanied by speculation concerning the scope and timeline of their
anticipated revolutionary changes. While quantum computing is still in its
infancy, the variety of different architectures used to implement quantum
computations make it difficult to reliably measure and compare performance.
This problem motivates our introduction of SupermarQ, a scalable,
hardware-agnostic quantum benchmark suite which uses application-level metrics
to measure performance. SupermarQ is the first attempt to systematically apply
techniques from classical benchmarking methodology to the quantum domain. We
define a set of feature vectors to quantify coverage, select applications from
a variety of domains to ensure the suite is representative of real workloads,
and collect benchmark results from the IBM, IonQ, and AQT@LBNL platforms.
Looking forward, we envision that quantum benchmarking will encompass a large
cross-community effort built on open source, constantly evolving benchmark
suites. We introduce SupermarQ as an important step in this direction.</abstract><doi>10.48550/arxiv.2202.11045</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Hardware Architecture Physics - Quantum Physics |
title | SupermarQ: A Scalable Quantum Benchmark Suite |
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