{"id":"https://openalex.org/W3007159145","doi":"https://doi.org/10.1007/s41781-020-00047-7","title":"Event Classification with Quantum Machine Learning in High-Energy Physics","display_name":"Event Classification with Quantum Machine Learning in High-Energy Physics","publication_year":2021,"publication_date":"2021-01-03","ids":{"openalex":"https://openalex.org/W3007159145","doi":"https://doi.org/10.1007/s41781-020-00047-7","mag":"3007159145"},"language":"en","primary_location":{"id":"doi:10.1007/s41781-020-00047-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41781-020-00047-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41781-020-00047-7.pdf","source":{"id":"https://openalex.org/S4210229695","display_name":"Computing and Software for Big Science","issn_l":"2510-2036","issn":["2510-2036","2510-2044"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Software for Big Science","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s41781-020-00047-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Koji Terashi","orcid":"https://orcid.org/0000-0001-6520-8070"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Koji Terashi","raw_affiliation_strings":["International Center for Elementary Particle Physics (ICEPP), The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan"],"raw_orcid":"https://orcid.org/0000-0001-6520-8070","affiliations":[{"raw_affiliation_string":"International Center for Elementary Particle Physics (ICEPP), The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Michiru Kaneda","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Michiru Kaneda","raw_affiliation_strings":["International Center for Elementary Particle Physics (ICEPP), The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Center for Elementary Particle Physics (ICEPP), The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tomoe Kishimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoe Kishimoto","raw_affiliation_strings":["International Center for Elementary Particle Physics (ICEPP), The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Center for Elementary Particle Physics (ICEPP), The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Masahiko Saito","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiko Saito","raw_affiliation_strings":["International Center for Elementary Particle Physics (ICEPP), The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Center for Elementary Particle Physics (ICEPP), The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ryu Sawada","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryu Sawada","raw_affiliation_strings":["International Center for Elementary Particle Physics (ICEPP), The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Center for Elementary Particle Physics (ICEPP), The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":null,"display_name":"Junichi Tanaka","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Junichi Tanaka","raw_affiliation_strings":["International Center for Elementary Particle Physics (ICEPP), The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Center for Elementary Particle Physics (ICEPP), The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":{"value":2590,"currency":"EUR","value_usd":3280},"apc_paid":{"value":2590,"currency":"EUR","value_usd":3280},"fwci":5.8793,"has_fulltext":true,"cited_by_count":56,"citation_normalized_percentile":{"value":0.96696382,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"5","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.7713000178337097,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.7713000178337097,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11804","display_name":"Quantum many-body systems","score":0.04690000042319298,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.023800000548362732,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5898000001907349},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5895000100135803},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.5817999839782715},{"id":"https://openalex.org/keywords/quantum-algorithm","display_name":"Quantum algorithm","score":0.5393000245094299},{"id":"https://openalex.org/keywords/quantum-machine-learning","display_name":"Quantum machine learning","score":0.5217000246047974},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.5005000233650208},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4790000021457672},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4560000002384186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.609499990940094},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5898000001907349},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5895000100135803},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5817999839782715},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.5393000245094299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.531000018119812},{"id":"https://openalex.org/C2779094486","wikidata":"https://www.wikidata.org/wiki/Q18811578","display_name":"Quantum machine learning","level":4,"score":0.5217000246047974},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.5005000233650208},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4790000021457672},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4560000002384186},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4350999891757965},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4237000048160553},{"id":"https://openalex.org/C192122513","wikidata":"https://www.wikidata.org/wiki/Q2835770","display_name":"Quantum phase estimation algorithm","level":5,"score":0.4018000066280365},{"id":"https://openalex.org/C124148022","wikidata":"https://www.wikidata.org/wiki/Q2122210","display_name":"Quantum circuit","level":5,"score":0.3785000145435333},{"id":"https://openalex.org/C169699857","wikidata":"https://www.wikidata.org/wiki/Q2122243","display_name":"Quantum information","level":3,"score":0.3375000059604645},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31949999928474426},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C58849907","wikidata":"https://www.wikidata.org/wiki/Q2118982","display_name":"Quantum gate","level":4,"score":0.299699991941452},{"id":"https://openalex.org/C2778926657","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum system","level":3,"score":0.2957000136375427},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C11255438","wikidata":"https://www.wikidata.org/wiki/Q7269085","display_name":"Quantum process","level":4,"score":0.2667999863624573},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.25920000672340393}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41781-020-00047-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41781-020-00047-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41781-020-00047-7.pdf","source":{"id":"https://openalex.org/S4210229695","display_name":"Computing and Software for Big Science","issn_l":"2510-2036","issn":["2510-2036","2510-2044"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Software for Big Science","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2002.09935","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.09935","pdf_url":"https://arxiv.org/pdf/2002.09935","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1007/s41781-020-00047-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41781-020-00047-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41781-020-00047-7.pdf","source":{"id":"https://openalex.org/S4210229695","display_name":"Computing and Software for Big Science","issn_l":"2510-2036","issn":["2510-2036","2510-2044"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Software for Big Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322832","display_name":"University of Tokyo","ror":"https://ror.org/057zh3y96"},{"id":"https://openalex.org/F4320332688","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3007159145.pdf","grobid_xml":"https://content.openalex.org/works/W3007159145.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W2017958417","https://openalex.org/W2024860775","https://openalex.org/W2125621954","https://openalex.org/W2161685427","https://openalex.org/W2767121113","https://openalex.org/W2781738013","https://openalex.org/W2790388700","https://openalex.org/W2798434869","https://openalex.org/W2912359830","https://openalex.org/W2969401585","https://openalex.org/W2969566085","https://openalex.org/W3012312856","https://openalex.org/W3013481035","https://openalex.org/W3031222790","https://openalex.org/W3087961421","https://openalex.org/W4232091795","https://openalex.org/W4293385364","https://openalex.org/W6600340491","https://openalex.org/W6605663101","https://openalex.org/W6631188861","https://openalex.org/W6912284476"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"We":[1,29],"present":[2],"studies":[3],"of":[4,13,19,39,46,58,95,98,104,120,148],"quantum":[5,33,54,82,109,114,135],"algorithms":[6],"exploiting":[7],"machine":[8,23],"learning":[9,24,132],"to":[10,35,152],"classify":[11],"events":[12,122],"interest":[14],"from":[15,123],"background":[16,124],"events,":[17],"one":[18],"the":[20,37,44,47,59,81,88,92,96,102,118,146,149,153],"most":[21],"representative":[22],"applications":[25],"in":[26,155],"high-energy":[27,156],"physics.":[28],"focus":[30],"on":[31,67],"variational":[32,108],"approach":[34],"learn":[36],"properties":[38],"input":[40,99],"data":[41],"and":[42,53,71,101],"evaluate":[43],"performance":[45,60,86,151],"event":[48],"classification":[49,64],"using":[50,76,134],"both":[51],"simulators":[52],"computing":[55],"devices.":[56],"Comparison":[57],"with":[61,87,113,137],"standard":[62,89],"multi-variate":[63],"techniques":[65,90],"based":[66],"a":[68,72,131],"boosted-decision":[69],"tree":[70],"deep":[73],"neural":[74],"network":[75],"classical":[77],"computers":[78],"shows":[79],"that":[80,117],"algorithm":[83,110],"has":[84],"comparable":[85],"at":[91],"considered":[93],"ranges":[94],"number":[97],"variables":[100],"size":[103],"training":[105],"samples.":[106],"The":[107],"is":[111,125],"tested":[112],"computers,":[115],"demonstrating":[116],"discrimination":[119],"interesting":[121],"feasible.":[126],"Characteristic":[127],"behaviors":[128],"observed":[129],"during":[130],"process":[133],"circuits":[136],"extended":[138],"gate":[139],"structures":[140],"are":[141],"discussed,":[142],"as":[143,145],"well":[144],"implications":[147],"current":[150],"application":[154],"physics":[157],"experiments.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-03-06T00:00:00"}
