{"id":"https://openalex.org/W4405022388","doi":"https://doi.org/10.1109/tai.2024.3511514","title":"A Quantum Multimodal Neural Network Model for\u00a0Sentiment Analysis on Quantum Circuits","display_name":"A Quantum Multimodal Neural Network Model for\u00a0Sentiment Analysis on Quantum Circuits","publication_year":2024,"publication_date":"2024-12-04","ids":{"openalex":"https://openalex.org/W4405022388","doi":"https://doi.org/10.1109/tai.2024.3511514"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2024.3511514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2024.3511514","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-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":null,"display_name":"Jin Zheng","orcid":"https://orcid.org/0000-0002-1325-4312"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Zheng","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, P. R. China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009455568","display_name":"Qing Gao","orcid":"https://orcid.org/0000-0001-8000-7736"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Gao","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, P. R. China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000582423","display_name":"Daoyi Dong","orcid":"https://orcid.org/0000-0002-7425-3559"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Daoyi Dong","raw_affiliation_strings":["School of Engineering, Australian National University, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Australian National University, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027725400","display_name":"Jinhu L\u00fc","orcid":"https://orcid.org/0000-0003-0275-8387"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhu L\u00fc","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, P. R. China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082404485","display_name":"Yue Deng","orcid":"https://orcid.org/0000-0003-2871-8922"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Deng","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, P. R. China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":2.049,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8918294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"6","issue":"5","first_page":"1128","last_page":"1142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.8852999806404114,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.8852999806404114,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.8348000049591064,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.8335000276565552,"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/quantum","display_name":"Quantum","score":0.5960623621940613},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5944374799728394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5193020701408386},{"id":"https://openalex.org/keywords/biological-neural-network","display_name":"Biological neural network","score":0.5039340853691101},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.474383145570755},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4115290641784668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35239505767822266},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19198337197303772},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1872052252292633},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.10711517930030823}],"concepts":[{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5960623621940613},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5944374799728394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5193020701408386},{"id":"https://openalex.org/C118403218","wikidata":"https://www.wikidata.org/wiki/Q43283","display_name":"Biological neural network","level":2,"score":0.5039340853691101},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.474383145570755},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4115290641784668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35239505767822266},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19198337197303772},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1872052252292633},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.10711517930030823}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tai.2024.3511514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2024.3511514","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/733751310","is_oa":false,"landing_page_url":"https://hdl.handle.net/1885/733751310","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2218190453","display_name":null,"funder_award_id":"92367204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5602450663","display_name":null,"funder_award_id":"62273016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1990514347","https://openalex.org/W2003656163","https://openalex.org/W2003856922","https://openalex.org/W2046761109","https://openalex.org/W2074356411","https://openalex.org/W2075456404","https://openalex.org/W2078861472","https://openalex.org/W2161969291","https://openalex.org/W2177347332","https://openalex.org/W2251394420","https://openalex.org/W2265228180","https://openalex.org/W2290551858","https://openalex.org/W2293236424","https://openalex.org/W2472490454","https://openalex.org/W2559394418","https://openalex.org/W2740550900","https://openalex.org/W2765401382","https://openalex.org/W2767290858","https://openalex.org/W2767484504","https://openalex.org/W2790388700","https://openalex.org/W2796293949","https://openalex.org/W2894676449","https://openalex.org/W2896712926","https://openalex.org/W2899922526","https://openalex.org/W2903221501","https://openalex.org/W2913256983","https://openalex.org/W2914767245","https://openalex.org/W2915977493","https://openalex.org/W2921875967","https://openalex.org/W2945680873","https://openalex.org/W2963355447","https://openalex.org/W2963533390","https://openalex.org/W2963857746","https://openalex.org/W2964046515","https://openalex.org/W2971765953","https://openalex.org/W2982169647","https://openalex.org/W2999912861","https://openalex.org/W3004965358","https://openalex.org/W3014787016","https://openalex.org/W3081468433","https://openalex.org/W3107698810","https://openalex.org/W3111162498","https://openalex.org/W3132743969","https://openalex.org/W3173899054","https://openalex.org/W4213212652","https://openalex.org/W4214875575","https://openalex.org/W4225650823","https://openalex.org/W4239946314","https://openalex.org/W4288051764","https://openalex.org/W4288064556","https://openalex.org/W4289596393","https://openalex.org/W4296126438","https://openalex.org/W4312277666","https://openalex.org/W4319782908","https://openalex.org/W4322736091","https://openalex.org/W4367663152","https://openalex.org/W4378905553","https://openalex.org/W4385064532","https://openalex.org/W4394804875","https://openalex.org/W4404040831","https://openalex.org/W6607799657","https://openalex.org/W6636510571","https://openalex.org/W6638212731","https://openalex.org/W6639528179"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575","https://openalex.org/W957077848"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"a":[3,20],"quantum":[4,16,66,77],"multimodal":[5,25,30,44,50,58,142],"neural":[6],"network":[7],"(QMNN)":[8],"model":[9,37,92,131,157,173],"that":[10,105],"can":[11],"be":[12],"implemented":[13],"on":[14],"parameterized":[15],"circuits":[17],"(PQCs),":[18],"providing":[19],"novel":[21],"avenue":[22],"for":[23],"processing":[24],"data":[26,45,59],"and":[27,53,63,70,79,115,127,149,152,179,182,193,199],"performing":[28],"advanced":[29],"sentiment":[31,99],"analysis":[32,100],"tasks.":[33],"The":[34,195],"comprehensive":[35,204],"QMNN":[36,106],"is":[38],"structured":[39],"into":[40,65],"four":[41],"fundamental":[42],"blocks:":[43],"preprocessing,":[46],"unimodal":[47],"feature":[48,51],"extraction,":[49],"fusion,":[52],"optimization.":[54],"Through":[55],"these":[56],"blocks,":[57],"are":[60,73,80,94,132],"initially":[61],"preprocessed":[62],"encoded":[64],"states.":[67],"Subsequently,":[68],"visual":[69,150],"textual":[71,148],"features":[72],"extracted":[74],"from":[75],"the":[76,85,91,98,123,130,137,141,153,156,159,166,172,203],"states":[78],"then":[81],"integrated":[82],"to":[83,96,165,186,189],"learn":[84],"interactions":[86,146],"between":[87,147],"different":[88],"modalities.":[89],"Finally,":[90],"parameters":[93,118],"fine-tuned":[95],"optimize":[97],"performance.":[101,168],"Simulation":[102],"results":[103,198],"confirm":[104],"surpasses":[107],"state-of-the-art":[108],"baselines,":[109],"using":[110],"significantly":[111],"lower":[112],"input":[113],"dimensions":[114],"substantially":[116],"fewer":[117],"than":[119],"classical":[120],"models.":[121],"Furthermore,":[122],"entanglement,":[124],"integrity,":[125],"robustness,":[126],"scalability":[128,183],"of":[129,155,162,206],"analyzed":[133],"in":[134],"depth.":[135],"Internally,":[136],"strong":[138],"entanglement":[139],"within":[140],"fusion":[143],"block":[144],"enhances":[145],"features,":[151],"integrity":[154],"reflects":[158],"indispensable":[160],"contribution":[161],"each":[163],"component":[164],"overall":[167],"Externally,":[169],"robustness":[170],"ensures":[171],"operates":[174],"stably":[175],"under":[176],"noisy":[177],"conditions":[178],"incomplete":[180],"inputs,":[181],"enables":[184],"it":[185],"efficiently":[187],"adapt":[188],"varying":[190],"architectural":[191],"depths":[192],"widths.":[194],"above":[196],"simulation":[197],"performance":[200],"analyses":[201],"showcase":[202],"strength":[205],"our":[207],"proposed":[208],"model.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
