{"id":"https://openalex.org/W2977509458","doi":"https://doi.org/10.1109/ijcnn.2019.8852453","title":"Quantum-Inspired Neural Architecture Search","display_name":"Quantum-Inspired Neural Architecture Search","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2977509458","doi":"https://doi.org/10.1109/ijcnn.2019.8852453","mag":"2977509458"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5081462806","display_name":"Daniela Szwarcman","orcid":"https://orcid.org/0000-0001-8529-4594"},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]},{"id":"https://openalex.org/I2699952","display_name":"Pontifical Catholic University of Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Daniela Szwarcman","raw_affiliation_strings":["PUC-Rio, IBM Research, Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"PUC-Rio, IBM Research, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I4210113516","https://openalex.org/I2699952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024220530","display_name":"Daniel Civitarese","orcid":"https://orcid.org/0000-0003-3335-1985"},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Daniel Civitarese","raw_affiliation_strings":["IBM Research, Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"IBM Research, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085598532","display_name":"Marley Vellasco","orcid":"https://orcid.org/0000-0002-9790-1328"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontifical Catholic University of Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marley Vellasco","raw_affiliation_strings":["Dept. of Electrical Engineering, PUC-Rio, Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, PUC-Rio, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I2699952"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081462806"],"corresponding_institution_ids":["https://openalex.org/I2699952","https://openalex.org/I4210113516"],"apc_list":null,"apc_paid":null,"fwci":1.3159,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.84667359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9980999827384949,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9958000183105469,"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/computer-science","display_name":"Computer science","score":0.7568984627723694},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6586073040962219},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.5138576030731201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5093756914138794},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.49398666620254517},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48052558302879333},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.470402330160141},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.46444278955459595},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.4624597728252411},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4584048092365265},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4504653811454773},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.44111526012420654},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.4259815812110901},{"id":"https://openalex.org/keywords/quantum-machine-learning","display_name":"Quantum machine learning","score":0.4182448387145996},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38803452253341675},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.33514535427093506},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3240039348602295},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24931496381759644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7568984627723694},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6586073040962219},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.5138576030731201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5093756914138794},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.49398666620254517},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48052558302879333},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.470402330160141},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.46444278955459595},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.4624597728252411},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4584048092365265},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4504653811454773},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.44111526012420654},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.4259815812110901},{"id":"https://openalex.org/C2779094486","wikidata":"https://www.wikidata.org/wiki/Q18811578","display_name":"Quantum machine learning","level":4,"score":0.4182448387145996},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38803452253341675},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.33514535427093506},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3240039348602295},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24931496381759644},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1176316881","https://openalex.org/W1686810756","https://openalex.org/W1799366690","https://openalex.org/W1962752774","https://openalex.org/W1999060539","https://openalex.org/W2007805360","https://openalex.org/W2025758645","https://openalex.org/W2096189745","https://openalex.org/W2111935653","https://openalex.org/W2112796928","https://openalex.org/W2122274805","https://openalex.org/W2138784882","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2553303224","https://openalex.org/W2594529350","https://openalex.org/W2606006859","https://openalex.org/W2748513770","https://openalex.org/W2773706593","https://openalex.org/W2782417188","https://openalex.org/W2788853733","https://openalex.org/W2796265726","https://openalex.org/W2803311163","https://openalex.org/W2898514961","https://openalex.org/W2949264490","https://openalex.org/W2951886768","https://openalex.org/W2962750597","https://openalex.org/W2963137684","https://openalex.org/W2963473542","https://openalex.org/W2963536136","https://openalex.org/W2963778169","https://openalex.org/W2964081807","https://openalex.org/W2965658867","https://openalex.org/W3118608800","https://openalex.org/W4255158661","https://openalex.org/W4295185264","https://openalex.org/W6637373629","https://openalex.org/W6638444622","https://openalex.org/W6684191040","https://openalex.org/W6687483927","https://openalex.org/W6729956949","https://openalex.org/W6729972426","https://openalex.org/W6734593296","https://openalex.org/W6743495212","https://openalex.org/W6745614327","https://openalex.org/W6747806236","https://openalex.org/W6748587240","https://openalex.org/W6751831502","https://openalex.org/W6755555738"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4280563792","https://openalex.org/W4318719684","https://openalex.org/W4318559728","https://openalex.org/W3183136280","https://openalex.org/W2775233965","https://openalex.org/W3114716045","https://openalex.org/W3086822298","https://openalex.org/W3045401470","https://openalex.org/W2744915152"],"abstract_inverted_index":{"Deep":[0],"neural":[1,70,119],"networks":[2,31,151],"have":[3,64,86],"gained":[4],"attention":[5],"in":[6,16,54,97],"the":[7,28,56,69,131,137],"last":[8],"decade":[9],"as":[10],"significant":[11,79],"progress":[12],"has":[13],"been":[14,65],"made":[15],"a":[17,112],"variety":[18],"of":[19,27,58,76],"tasks":[20],"thanks":[21],"to":[22,50,67,99,115,160],"these":[23],"new":[24,62],"architectures.":[25,60],"Most":[26],"time,":[29],"hand-designed":[30],"are":[32,152],"responsible":[33],"for":[34,117,145],"this":[35,39,103],"incredible":[36],"success.":[37],"However,":[38],"engineering":[40],"process":[41],"demands":[42],"considerable":[43],"time":[44],"and":[45,93,124,164],"expert":[46],"knowledge,":[47],"which":[48],"leads":[49],"an":[51],"increasing":[52],"interest":[53],"automating":[55],"design":[57],"deep":[59,118],"Several":[61],"algorithms":[63,84],"proposed":[66],"address":[68],"architecture":[71],"search":[72,116],"problem,":[73],"but":[74],"many":[75],"them":[77],"require":[78],"computational":[80,171],"resources.":[81],"Quantum-inspired":[82],"evolutionary":[83],"(QIEA)":[85],"their":[87],"roots":[88],"on":[89,136],"quantum":[90],"computing":[91],"principles":[92],"present":[94,130],"promising":[95,166],"results":[96,133],"respect":[98],"faster":[100],"convergence.":[101],"In":[102],"work,":[104],"we":[105],"propose":[106],"Q-NAS":[107,135],"(Quantum-inspired":[108],"Neural":[109],"Architecture":[110],"Search):":[111],"quantum-inspired":[113],"algorithm":[114],"architectures":[120],"by":[121],"assembling":[122],"substructures":[123],"optimizing":[125],"some":[126],"numerical":[127],"hyperparameters.":[128],"We":[129],"first":[132],"applying":[134],"CIFAR-10":[138],"dataset":[139],"using":[140],"only":[141],"20":[142,157],"K80":[143],"GPUs":[144],"about":[146],"50":[147],"hours.":[148],"The":[149],"obtained":[150],"relatively":[153],"small":[154],"(less":[155],"than":[156,173],"layers)":[158],"compared":[159],"other":[161,174],"state-of-the-art":[162],"models":[163],"achieve":[165],"accuracies":[167],"with":[168],"considerably":[169],"less":[170],"cost":[172],"NAS":[175],"algorithms.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
