{"id":"https://openalex.org/W4416875200","doi":"https://doi.org/10.1109/qce65121.2025.00192","title":"Neural Architecture Search for Quantum Autoencoders","display_name":"Neural Architecture Search for Quantum Autoencoders","publication_year":2025,"publication_date":"2025-08-30","ids":{"openalex":"https://openalex.org/W4416875200","doi":"https://doi.org/10.1109/qce65121.2025.00192"},"language":null,"primary_location":{"id":"doi:10.1109/qce65121.2025.00192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qce65121.2025.00192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Quantum Computing and Engineering (QCE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005607181","display_name":"Hibah Agha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104314","display_name":"New York Institute of Technology","ror":"https://ror.org/01bghzb51","country_code":"US","type":"education","lineage":["https://openalex.org/I4210104314"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hibah Agha","raw_affiliation_strings":["College of Engineering and Computing Sciences, New York Institute of Technology,Old Westbury,NY,USA,11568"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering and Computing Sciences, New York Institute of Technology,Old Westbury,NY,USA,11568","institution_ids":["https://openalex.org/I4210104314"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021414038","display_name":"Samuel Yen-Chi Chen","orcid":"https://orcid.org/0000-0003-0114-4826"},"institutions":[{"id":"https://openalex.org/I166794780","display_name":"Wells Fargo (United States)","ror":"https://ror.org/037r2ff59","country_code":"US","type":"company","lineage":["https://openalex.org/I166794780"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Yen-Chi Chen","raw_affiliation_strings":["Wells Fargo,New York,NY,USA,10017"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wells Fargo,New York,NY,USA,10017","institution_ids":["https://openalex.org/I166794780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034788095","display_name":"H. Eric Tseng","orcid":"https://orcid.org/0000-0001-9544-4226"},"institutions":[{"id":"https://openalex.org/I200870766","display_name":"Brookhaven National Laboratory","ror":"https://ror.org/02ex6cf31","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I200870766","https://openalex.org/I39565521","https://openalex.org/I4210142672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huan-Hsin Tseng","raw_affiliation_strings":["Brookhaven National Laboratory,AI Department,Upton,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brookhaven National Laboratory,AI Department,Upton,NY,USA","institution_ids":["https://openalex.org/I200870766"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048176207","display_name":"Shinjae Yoo","orcid":"https://orcid.org/0000-0003-4378-6448"},"institutions":[{"id":"https://openalex.org/I200870766","display_name":"Brookhaven National Laboratory","ror":"https://ror.org/02ex6cf31","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I200870766","https://openalex.org/I39565521","https://openalex.org/I4210142672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shinjae Yoo","raw_affiliation_strings":["Brookhaven National Laboratory,AI Department,Upton,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brookhaven National Laboratory,AI Department,Upton,NY,USA","institution_ids":["https://openalex.org/I200870766"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5175,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93789874,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1748","last_page":"1755"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.978600025177002,"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":0.978600025177002,"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":0.002899999963119626,"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/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.002400000113993883,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/quantum","display_name":"Quantum","score":0.6615999937057495},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.5676000118255615},{"id":"https://openalex.org/keywords/quantum-machine-learning","display_name":"Quantum machine learning","score":0.5311999917030334},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47110000252723694},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4706999957561493},{"id":"https://openalex.org/keywords/quantum-circuit","display_name":"Quantum circuit","score":0.44119998812675476},{"id":"https://openalex.org/keywords/quantum-algorithm","display_name":"Quantum algorithm","score":0.42800000309944153},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41040000319480896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6978999972343445},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.6615999937057495},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.5676000118255615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5644000172615051},{"id":"https://openalex.org/C2779094486","wikidata":"https://www.wikidata.org/wiki/Q18811578","display_name":"Quantum machine learning","level":4,"score":0.5311999917030334},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47110000252723694},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4706999957561493},{"id":"https://openalex.org/C124148022","wikidata":"https://www.wikidata.org/wiki/Q2122210","display_name":"Quantum circuit","level":5,"score":0.44119998812675476},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.42800000309944153},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41040000319480896},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.37770000100135803},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3506999909877777},{"id":"https://openalex.org/C169699857","wikidata":"https://www.wikidata.org/wiki/Q2122243","display_name":"Quantum information","level":3,"score":0.33959999680519104},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3237000107765198},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.3156999945640564},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3010999858379364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2962000072002411},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2849999964237213},{"id":"https://openalex.org/C15706264","wikidata":"https://www.wikidata.org/wiki/Q230883","display_name":"Quantum state","level":3,"score":0.2734000086784363},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C2778926657","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum system","level":3,"score":0.257099986076355}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/qce65121.2025.00192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qce65121.2025.00192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Quantum Computing and Engineering (QCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W2015811642","https://openalex.org/W2062466777","https://openalex.org/W2100495367","https://openalex.org/W2328803995","https://openalex.org/W2562234976","https://openalex.org/W2736592352","https://openalex.org/W2755418751","https://openalex.org/W2763302490","https://openalex.org/W2781738013","https://openalex.org/W2790388700","https://openalex.org/W2898401615","https://openalex.org/W2980889789","https://openalex.org/W2993471286","https://openalex.org/W2995742898","https://openalex.org/W3045093737","https://openalex.org/W3082455048","https://openalex.org/W3092829287","https://openalex.org/W3111853834","https://openalex.org/W3116184205","https://openalex.org/W3132743969","https://openalex.org/W3141755656","https://openalex.org/W3145536005","https://openalex.org/W3153990350","https://openalex.org/W3173431334","https://openalex.org/W3177828909","https://openalex.org/W3196514226","https://openalex.org/W3207377511","https://openalex.org/W3211718387","https://openalex.org/W3211721489","https://openalex.org/W4213212652","https://openalex.org/W4221167764","https://openalex.org/W4285805247","https://openalex.org/W4297004046","https://openalex.org/W4312694312","https://openalex.org/W4361290988","https://openalex.org/W4372259985","https://openalex.org/W4372267505","https://openalex.org/W4385261005","https://openalex.org/W4385802009","https://openalex.org/W4386230346","https://openalex.org/W4387117982","https://openalex.org/W4389168146","https://openalex.org/W4389607983","https://openalex.org/W4396822493","https://openalex.org/W4399213481","https://openalex.org/W4400463031","https://openalex.org/W4402351602","https://openalex.org/W4404612429","https://openalex.org/W4405934575","https://openalex.org/W4406261273","https://openalex.org/W4406261841","https://openalex.org/W4406262044","https://openalex.org/W4406276699","https://openalex.org/W4410770879","https://openalex.org/W6922480057"],"related_works":[],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"machine":[3,48],"learning":[4,7,49],"and":[5,19,62,86,185],"deep":[6],"have":[8],"driven":[9],"advances":[10],"in":[11,46,133],"domains":[12],"such":[13],"as":[14],"image":[15,140],"classification,":[16],"speech":[17],"recognition,":[18],"anomaly":[20],"detection":[21],"by":[22],"leveraging":[23],"multilayer":[24],"neural":[25,93],"networks":[26],"to":[27,36,77,121,169,182],"model":[28],"complex":[29],"data.":[30,64],"Simultaneously,":[31],"quantum":[32,42,47,54,61,68,72,103,114,146,156,170],"computing":[33],"(QC)":[34],"promises":[35],"address":[37],"classically":[38],"intractable":[39],"problems":[40],"via":[41],"parallelism,":[43],"motivating":[44],"research":[45],"(QML).":[50],"Among":[51],"QML":[52],"techniques,":[53],"autoencoders":[55,73,104,126,147],"show":[56],"promise":[57],"for":[58,71,127,148,163,174],"compressing":[59],"highdimensional":[60],"classical":[63],"However,":[65],"designing":[66],"effective":[67],"circuit":[69,84,115],"architectures":[70],"remains":[74],"challenging":[75],"due":[76],"the":[78,100,143],"complexity":[79],"of":[80,102,145,166],"selecting":[81],"gates,":[82],"arranging":[83],"layers,":[85],"tuning":[87],"parameters.":[88],"This":[89],"paper":[90],"proposes":[91],"a":[92,106,153,161,175],"architecture":[94,171],"search":[95],"(NAS)":[96],"framework":[97],"that":[98,179],"automates":[99],"design":[101],"using":[105],"genetic":[107,167],"algorithm":[108],"(GA).":[109],"By":[110],"systematically":[111],"evolving":[112],"variational":[113],"(VQC)":[116],"configurations,":[117],"our":[118],"method":[119,178],"seeks":[120],"identify":[122],"high-performing":[123],"hybrid":[124],"quantum-classical":[125],"data":[128,184],"reconstruction":[129],"without":[130],"becoming":[131],"trapped":[132],"local":[134],"minima.":[135],"We":[136],"demonstrate":[137],"effectiveness":[138],"on":[139],"datasets,":[141],"highlighting":[142],"potential":[144],"efficient":[149],"feature":[150],"extraction":[151],"within":[152],"noise-prone,":[154],"near-term":[155],"era.":[157],"Our":[158],"approach":[159],"lays":[160],"foundation":[162],"broader":[164],"application":[165],"algorithms":[168],"search,":[172],"aiming":[173],"robust,":[176],"automated":[177],"can":[180],"adapt":[181],"varied":[183],"hardware":[186],"constraints.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-01T00:00:00"}