{"id":"https://openalex.org/W4327709876","doi":"https://doi.org/10.1088/2632-2153/acc56a","title":"Deep learning representations for quantum many-body systems on heterogeneous hardware","display_name":"Deep learning representations for quantum many-body systems on heterogeneous hardware","publication_year":2023,"publication_date":"2023-03-01","ids":{"openalex":"https://openalex.org/W4327709876","doi":"https://doi.org/10.1088/2632-2153/acc56a"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/acc56a","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/acc56a","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/acc56a/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/acc56a/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081515655","display_name":"Xiao Liang","orcid":"https://orcid.org/0000-0002-7882-3571"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Liang","raw_affiliation_strings":["CAS Key Lab of Quantum Information, University of Science and Technology of China, Jinzhai Road No.96, Hefei, 230026, CHINA"],"raw_orcid":"https://orcid.org/0000-0002-7882-3571","affiliations":[{"raw_affiliation_string":"CAS Key Lab of Quantum Information, University of Science and Technology of China, Jinzhai Road No.96, Hefei, 230026, CHINA","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004088777","display_name":"Mingfan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingfan Li","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Jinzhai Road No.96, Hefei, 230026, CHINA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Jinzhai Road No.96, Hefei, 230026, CHINA","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050415198","display_name":"Qian Xiao","orcid":"https://orcid.org/0000-0001-7869-7109"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Xiao","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Jinzhai Road No.96, Hefei, 230026, CHINA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Jinzhai Road No.96, Hefei, 230026, CHINA","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101436158","display_name":"Junshi Chen","orcid":"https://orcid.org/0000-0002-6487-3658"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junshi Chen","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Jinzhai Road No.96, Hefei, Anhui, 230026, CHINA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Jinzhai Road No.96, Hefei, Anhui, 230026, CHINA","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041105948","display_name":"Chao Yang","orcid":"https://orcid.org/0000-0003-0917-5256"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yang","raw_affiliation_strings":["School of Mathematical Sciences, Peking University, 5 Yiheyuan Rd, Haidian District, Beijing, 100871, CHINA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, 5 Yiheyuan Rd, Haidian District, Beijing, 100871, CHINA","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085758579","display_name":"Hong An","orcid":"https://orcid.org/0000-0002-3900-3722"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong An","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Jinzhai Road No.96, Hefei, 230026, CHINA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Jinzhai Road No.96, Hefei, 230026, CHINA","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036793185","display_name":"Lixin He","orcid":"https://orcid.org/0000-0003-2050-134X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lixin He","raw_affiliation_strings":["CAS Key Lab of Quantum Information, University of Science and Technology of China, Jinzhai Road No.96, Hefei, 230026, CHINA"],"raw_orcid":"https://orcid.org/0000-0003-2050-134X","affiliations":[{"raw_affiliation_string":"CAS Key Lab of Quantum Information, University of Science and Technology of China, Jinzhai Road No.96, Hefei, 230026, CHINA","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5036793185"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":2.7145,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.90131761,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"4","issue":"1","first_page":"015035","last_page":"015035"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11804","display_name":"Quantum many-body systems","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11804","display_name":"Quantum many-body systems","score":0.9997000098228455,"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/T10037","display_name":"Physics of Superconductivity and Magnetism","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3104","display_name":"Condensed Matter Physics"},"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6183961033821106},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5685641169548035},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.562673807144165},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5243352055549622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5211653709411621},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.48053058981895447},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46131396293640137},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.45456838607788086},{"id":"https://openalex.org/keywords/quantum-simulator","display_name":"Quantum simulator","score":0.44506287574768066},{"id":"https://openalex.org/keywords/lattice","display_name":"Lattice (music)","score":0.4376394748687744},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.41192036867141724},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40167728066444397},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19307604432106018},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.16431954503059387},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.14243072271347046},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10621842741966248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6183961033821106},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5685641169548035},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.562673807144165},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5243352055549622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5211653709411621},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.48053058981895447},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46131396293640137},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.45456838607788086},{"id":"https://openalex.org/C161166931","wikidata":"https://www.wikidata.org/wiki/Q7269096","display_name":"Quantum simulator","level":4,"score":0.44506287574768066},{"id":"https://openalex.org/C2781204021","wikidata":"https://www.wikidata.org/wiki/Q6497091","display_name":"Lattice (music)","level":2,"score":0.4376394748687744},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.41192036867141724},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40167728066444397},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19307604432106018},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.16431954503059387},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.14243072271347046},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10621842741966248},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2632-2153/acc56a","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/acc56a","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/acc56a/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:07f3871e6f00495b93393adbfa644065","is_oa":true,"landing_page_url":"https://doaj.org/article/07f3871e6f00495b93393adbfa644065","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 4, Iss 1, p 015035 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/acc56a","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/acc56a","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/acc56a/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1705104772","https://openalex.org/W1963826472","https://openalex.org/W1970003614","https://openalex.org/W2006294391","https://openalex.org/W2017474131","https://openalex.org/W2033430067","https://openalex.org/W2037768897","https://openalex.org/W2038425631","https://openalex.org/W2039081246","https://openalex.org/W2044400597","https://openalex.org/W2060078445","https://openalex.org/W2079488937","https://openalex.org/W2091990339","https://openalex.org/W2096391265","https://openalex.org/W2122816100","https://openalex.org/W2154815292","https://openalex.org/W2170043777","https://openalex.org/W2256298911","https://openalex.org/W2257979135","https://openalex.org/W2419175238","https://openalex.org/W2530848289","https://openalex.org/W2738381299","https://openalex.org/W2766447205","https://openalex.org/W2803629276","https://openalex.org/W2883954259","https://openalex.org/W2912285952","https://openalex.org/W2912516940","https://openalex.org/W2921586812","https://openalex.org/W2923537029","https://openalex.org/W2946916998","https://openalex.org/W2949158470","https://openalex.org/W2964210765","https://openalex.org/W2999151170","https://openalex.org/W3006530100","https://openalex.org/W3013685828","https://openalex.org/W3046391053","https://openalex.org/W3082571443","https://openalex.org/W3089866516","https://openalex.org/W3091314820","https://openalex.org/W3098638211","https://openalex.org/W3099657232","https://openalex.org/W3101772659","https://openalex.org/W3103713775","https://openalex.org/W3127671033","https://openalex.org/W3132277775","https://openalex.org/W3157343071","https://openalex.org/W3173137709","https://openalex.org/W3177828909","https://openalex.org/W3194257912","https://openalex.org/W3214880800","https://openalex.org/W3217712233","https://openalex.org/W4213377513","https://openalex.org/W4226094436","https://openalex.org/W4283009052","https://openalex.org/W4293126226","https://openalex.org/W4321636690","https://openalex.org/W6777096940","https://openalex.org/W6849911389"],"related_works":["https://openalex.org/W2913668101","https://openalex.org/W4387104766","https://openalex.org/W1979009474","https://openalex.org/W1481972303","https://openalex.org/W4214754964","https://openalex.org/W4281728668","https://openalex.org/W2146176126","https://openalex.org/W2127884933","https://openalex.org/W4225497418","https://openalex.org/W4221023599"],"abstract_inverted_index":{"Abstract":[0],"The":[1,29,90,128],"quantum":[2,43],"many-body":[3,44],"problems":[4,14],"are":[5,15,97,121],"important":[6],"for":[7,60],"condensed":[8],"matter":[9],"physics,":[10],"however":[11],"solving":[12],"the":[13,18,24,27,61,93,100,105,111,134],"challenging":[16],"because":[17],"Hilbert":[19],"space":[20],"grows":[21],"exponentially":[22],"with":[23,57,143],"size":[25,146],"of":[26,92,130],"problem.":[28],"recently":[30],"developed":[31],"deep":[32,50,94],"learning":[33,51],"methods":[34],"provide":[35],"a":[36,49],"promising":[37],"new":[38,106],"route":[39],"to":[40,136],"solve":[41],"long-standing":[42],"problems.":[45],"We":[46],"report":[47],"that":[48],"based":[52],"simulation":[53],"can":[54],"achieve":[55],"solutions":[56],"competitive":[58],"precision":[59],"spin":[62,138],"<mml:math":[63,70],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[64,71],"overflow=\"scroll\">":[65,72],"<mml:mi>J</mml:mi>":[66,73],"<mml:mn>1</mml:mn>":[67],"</mml:math>":[68,75],"\u2013":[69],"<mml:mn>2</mml:mn>":[74],"model":[76],"and":[77,110,118,139,147],"fermionic":[78,140],"t":[79],"-":[80],"J":[81],"model,":[82],"on":[83,99],"rectangular":[84],"lattices":[85],"within":[86,123],"periodic":[87],"boundary":[88],"conditions.":[89],"optimizations":[91],"neural":[95],"networks":[96],"performed":[98],"heterogeneous":[101],"platforms,":[102],"such":[103],"as":[104],"generation":[107],"Sunway":[108],"supercomputer":[109],"multi":[112],"graphical-processing-unit":[113],"clusters.":[114],"Both":[115],"high":[116,119],"scalability":[117],"performance":[120],"achieved":[122],"an":[124],"AI-HPC":[125],"hybrid":[126],"framework.":[127],"accomplishment":[129],"this":[131],"work":[132],"opens":[133],"door":[135],"simulate":[137],"lattice":[141,145],"models":[142],"state-of-the-art":[144],"precision.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2023-03-18T00:00:00"}
