{"id":"https://openalex.org/W4389038591","doi":"https://doi.org/10.1088/2632-2153/ad1007","title":"Scalable quantum measurement error mitigation via conditional independence and transfer learning","display_name":"Scalable quantum measurement error mitigation via conditional independence and transfer learning","publication_year":2023,"publication_date":"2023-11-27","ids":{"openalex":"https://openalex.org/W4389038591","doi":"https://doi.org/10.1088/2632-2153/ad1007"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ad1007","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad1007","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad1007/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/ad1007/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056137690","display_name":"C. Lee","orcid":"https://orcid.org/0009-0003-0183-4939"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Changwon Lee","raw_affiliation_strings":["Statistics and Data Science, Yonsei University, Yonsei-ro 50, Seodaemun-gu, Seoul, 03722, Korea (the Republic of)"],"raw_orcid":"https://orcid.org/0009-0003-0183-4939","affiliations":[{"raw_affiliation_string":"Statistics and Data Science, Yonsei University, Yonsei-ro 50, Seodaemun-gu, Seoul, 03722, Korea (the Republic of)","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084643355","display_name":"Daniel K. Park","orcid":"https://orcid.org/0000-0002-3177-4143"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Daniel K Park","raw_affiliation_strings":["Applied Statistics, Yonsei University, Yonsei-ro 50, Seodaemun-gu, Seoul, 03722, Korea (the Republic of)"],"raw_orcid":"https://orcid.org/0000-0002-3177-4143","affiliations":[{"raw_affiliation_string":"Applied Statistics, Yonsei University, Yonsei-ro 50, Seodaemun-gu, Seoul, 03722, Korea (the Republic of)","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5084643355"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":0.7846,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77708022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"4","issue":"4","first_page":"045051","last_page":"045051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9998999834060669,"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":0.9998999834060669,"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/T10020","display_name":"Quantum Information and Cryptography","score":0.9988999962806702,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9940999746322632,"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/scalability","display_name":"Scalability","score":0.7635782957077026},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7305814623832703},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6015677452087402},{"id":"https://openalex.org/keywords/qubit","display_name":"Qubit","score":0.5979014039039612},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.4987635612487793},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4636356234550476},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.435162752866745},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.4244541525840759},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41085532307624817},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.147223562002182},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.10556569695472717},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08141326904296875},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07353198528289795}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7635782957077026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7305814623832703},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6015677452087402},{"id":"https://openalex.org/C203087015","wikidata":"https://www.wikidata.org/wiki/Q378201","display_name":"Qubit","level":3,"score":0.5979014039039612},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.4987635612487793},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4636356234550476},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.435162752866745},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.4244541525840759},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41085532307624817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.147223562002182},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.10556569695472717},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08141326904296875},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07353198528289795},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2632-2153/ad1007","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad1007","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad1007/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:a7616ca19e034ebdbd43c043bf1e70c5","is_oa":true,"landing_page_url":"https://doaj.org/article/a7616ca19e034ebdbd43c043bf1e70c5","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 4, p 045051 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ad1007","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad1007","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad1007/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":[],"awards":[{"id":"https://openalex.org/G1906870022","display_name":null,"funder_award_id":"2019\u20130-00003","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G2240465900","display_name":null,"funder_award_id":"2023-22-0072","funder_id":"https://openalex.org/F4320321314","funder_display_name":"Yonsei University"},{"id":"https://openalex.org/G4012814056","display_name":null,"funder_award_id":"2E32241-23-010","funder_id":"https://openalex.org/F4320322091","funder_display_name":"Korea Institute of Science and Technology"},{"id":"https://openalex.org/G4464929454","display_name":null,"funder_award_id":"2022M3E4A1074591","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320321314","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96"},{"id":"https://openalex.org/F4320322091","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4389038591.pdf"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W30853191","https://openalex.org/W1492999010","https://openalex.org/W1988369744","https://openalex.org/W2030867075","https://openalex.org/W2043500043","https://openalex.org/W2052169397","https://openalex.org/W2097381042","https://openalex.org/W2103956991","https://openalex.org/W2137147061","https://openalex.org/W2161685427","https://openalex.org/W2164248509","https://openalex.org/W2165698076","https://openalex.org/W2179731956","https://openalex.org/W2257937122","https://openalex.org/W2558921197","https://openalex.org/W2562526363","https://openalex.org/W2586874551","https://openalex.org/W2778498694","https://openalex.org/W2781738013","https://openalex.org/W2789733307","https://openalex.org/W2884827617","https://openalex.org/W2887280559","https://openalex.org/W2941673255","https://openalex.org/W2950126380","https://openalex.org/W2963421575","https://openalex.org/W2963454111","https://openalex.org/W2964121744","https://openalex.org/W3000565987","https://openalex.org/W3013171253","https://openalex.org/W3038835370","https://openalex.org/W3093493500","https://openalex.org/W3098581063","https://openalex.org/W3101842759","https://openalex.org/W3103872322","https://openalex.org/W3104355132","https://openalex.org/W3104804745","https://openalex.org/W3117414873","https://openalex.org/W3133392172","https://openalex.org/W3140854437","https://openalex.org/W3189159569","https://openalex.org/W3194730353","https://openalex.org/W3195438473","https://openalex.org/W3209612530","https://openalex.org/W4225709202","https://openalex.org/W4299518610","https://openalex.org/W4307283983","https://openalex.org/W4312108439","https://openalex.org/W4312779941","https://openalex.org/W4380627387","https://openalex.org/W4388406120","https://openalex.org/W4388825100","https://openalex.org/W6631190155","https://openalex.org/W6674600207","https://openalex.org/W6682132143","https://openalex.org/W6739879593","https://openalex.org/W6769627184","https://openalex.org/W6847415903"],"related_works":["https://openalex.org/W2951363717","https://openalex.org/W2134613344","https://openalex.org/W4220701436","https://openalex.org/W4281396976","https://openalex.org/W4288020428","https://openalex.org/W4290392458","https://openalex.org/W4292387542","https://openalex.org/W2989046916","https://openalex.org/W2032147770","https://openalex.org/W204679888"],"abstract_inverted_index":{"Abstract":[0],"Mitigating":[1],"measurement":[2,27],"errors":[3],"in":[4,89],"quantum":[5,10,22,26,140],"systems":[6],"without":[7],"relying":[8],"on":[9,138],"error":[11,28,97,149],"correction":[12],"is":[13],"of":[14,21,70,92,105,109,132,156],"critical":[15],"importance":[16],"for":[17,52,96,113],"the":[18,35,66,81,90,103,107,114,130,154],"practical":[19],"development":[20],"technology.":[23],"Deep":[24],"learning-based":[25],"mitigation":[29,150],"(QMEM)":[30],"has":[31],"exhibited":[32],"advantages":[33],"over":[34],"linear":[36],"inversion":[37],"method":[38,63],"due":[39],"to":[40,43,118],"its":[41],"capability":[42],"correct":[44],"non-linear":[45],"noise.":[46],"However,":[47],"scalability":[48],"remains":[49],"a":[50,60,125],"challenge":[51],"both":[53],"methods.":[54],"In":[55],"this":[56],"study,":[57],"we":[58,84],"propose":[59],"scalable":[61],"QMEM":[62],"that":[64],"leverages":[65],"conditional":[67],"independence":[68],"(CI)":[69],"distant":[71],"qubits":[72],"and":[73,144,152],"incorporates":[74],"transfer":[75],"learning":[76,116],"(TL)":[77],"techniques.":[78],"By":[79],"leveraging":[80],"CI":[82],"assumption,":[83],"achieve":[85],"an":[86],"exponential":[87],"reduction":[88],"size":[91],"neural":[93],"networks":[94],"used":[95],"mitigation.":[98],"This":[99],"enhancement":[100],"also":[101],"offers":[102],"benefit":[104],"reducing":[106],"number":[108],"training":[110],"data":[111],"needed":[112],"machine":[115],"model":[117],"successfully":[119],"converge.":[120],"Additionally,":[121],"incorporating":[122],"TL":[123],"provides":[124],"constant":[126],"speedup.":[127],"We":[128],"validate":[129],"effectiveness":[131],"our":[133,157],"approach":[134],"through":[135],"experiments":[136],"conducted":[137],"IBM":[139],"devices":[141],"with":[142],"7":[143],"13":[145],"qubits,":[146],"demonstrating":[147],"excellent":[148],"performance":[151],"highlighting":[153],"efficiency":[155],"method.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2023-11-28T00:00:00"}
