{"id":"https://openalex.org/W4416874377","doi":"https://doi.org/10.1109/qce65121.2025.10494","title":"Towards Efficient Hybrid Quantum-Classical Learning Models","display_name":"Towards Efficient Hybrid Quantum-Classical Learning Models","publication_year":2025,"publication_date":"2025-08-30","ids":{"openalex":"https://openalex.org/W4416874377","doi":"https://doi.org/10.1109/qce65121.2025.10494"},"language":null,"primary_location":{"id":"doi:10.1109/qce65121.2025.10494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qce65121.2025.10494","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":null,"display_name":"Aaron McCollum","orcid":null},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Aaron McCollum","raw_affiliation_strings":["School of Engineering, Ulster University,Belfast,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Ulster University,Belfast,UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062559292","display_name":"Sharatchandra Varma Bogaraju","orcid":"https://orcid.org/0000-0002-8082-8822"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]},{"id":"https://openalex.org/I2800980681","display_name":"Ulster Hospital","ror":"https://ror.org/04pmdg365","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I2800980681","https://openalex.org/I4210166072"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sharatchandra Varma Bogaraju","raw_affiliation_strings":["Varma Bogaraju School of Engineering, Ulster University,Belfast,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Varma Bogaraju School of Engineering, Ulster University,Belfast,UK","institution_ids":["https://openalex.org/I138801177","https://openalex.org/I2800980681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045151799","display_name":"James McLaughlin","orcid":"https://orcid.org/0000-0001-6026-8971"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"James McLaughlin","raw_affiliation_strings":["McLaughlin, School of Engineering Ulster University,Belfast,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McLaughlin, School of Engineering Ulster University,Belfast,UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027470908","display_name":"Abdelkerim Amari","orcid":"https://orcid.org/0000-0002-6344-6443"},"institutions":[{"id":"https://openalex.org/I4210159457","display_name":"Nokia (Germany)","ror":"https://ror.org/05nh5td39","country_code":"DE","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210159457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Abdelkerim Amari","raw_affiliation_strings":["Nokia,Munich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia,Munich,Germany","institution_ids":["https://openalex.org/I4210159457"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023946416","display_name":"Sunish Kumar Orappanpara Soman","orcid":"https://orcid.org/0000-0002-1010-364X"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sunish Kumar Orappanpara Soman","raw_affiliation_strings":["Orappanpara Soman School of Engineering, Ulster University,Belfast,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Orappanpara Soman School of Engineering, Ulster University,Belfast,UK","institution_ids":["https://openalex.org/I138801177"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17862497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"659","last_page":"660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.8565999865531921,"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":0.8565999865531921,"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":0.030300000682473183,"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/T11804","display_name":"Quantum many-body systems","score":0.023499999195337296,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6096000075340271},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5562000274658203},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5069000124931335},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.4350000023841858},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4138000011444092},{"id":"https://openalex.org/keywords/hybrid-system","display_name":"Hybrid system","score":0.40709999203681946},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3788999915122986},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.3693999946117401}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7170000076293945},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6096000075340271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5680000185966492},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5562000274658203},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5069000124931335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46230000257492065},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.4350000023841858},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4138000011444092},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.40709999203681946},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3693999946117401},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3677000105381012},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3547999858856201},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.31369999051094055},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29809999465942383},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.2842999994754791},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2786000072956085},{"id":"https://openalex.org/C2779990667","wikidata":"https://www.wikidata.org/wiki/Q5953266","display_name":"Hybrid neural network","level":3,"score":0.27410000562667847},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27239999175071716},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.262800008058548}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/qce65121.2025.10494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qce65121.2025.10494","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2563752936","https://openalex.org/W2781738013","https://openalex.org/W3111162498","https://openalex.org/W3136233239","https://openalex.org/W4308216325"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,46,51,54,87,136,149,163,166],"limitations":[2],"of":[3,30,56,59,107],"current":[4],"noisy":[5],"intermediate":[6],"scale":[7],"quantum":[8,73,184,190],"(NISQ)":[9],"devices,":[10],"there":[11],"is":[12,36],"a":[13,60,67,72,78,97,103,111,124],"need":[14],"for":[15,39,189],"hybrid":[16,32,61,69],"quantum-classical":[17,33],"learning":[18,34],"models":[19,122],"to":[20,89,162,171],"operate":[21],"more":[22],"efficiently":[23],"within":[24,165],"existing":[25],"hardware":[26],"constraints.":[27],"The":[28],"design":[29],"cost-effective":[31],"systems":[35],"therefore":[37],"imperative":[38],"various":[40],"applications,":[41],"including":[42],"biosignal":[43],"processing":[44],"in":[45,181],"healthcare":[47],"sector.":[48],"This":[49,176],"motivates":[50],"investigation":[52],"into":[53],"reduction":[55],"computational":[57,154],"complexity":[58],"quantumclassical":[62],"neural":[63,74,80],"network.":[64],"We":[65,119,130,156],"propose":[66],"new":[68],"model":[70,91],"combining":[71],"network":[75,81],"(QNN)":[76],"with":[77,86,113,139,148,152,193],"binary":[79],"(BNN),":[82],"known":[83],"as":[84,117],"quBNN,":[85],"aim":[88],"reduce":[90,173],"complexity.":[92,155,175],"For":[93],"benchmarking,":[94],"we":[95],"consider":[96],"classical":[98,137,150],"multilayer":[99],"perceptron":[100],"(MLP)":[101],"and":[102,159,183],"standard":[104],"nonbinarised":[105],"version":[106],"quBNN":[108,144,168],"that":[109,132],"combines":[110],"QNN":[112,164],"an":[114],"MLP,":[115,151],"named":[116],"quilp.":[118],"evaluated":[120],"all":[121],"on":[123],"multi-class":[125],"dataset":[126],"containing":[127],"multimodal":[128],"biosignals.":[129],"find":[131],"quMLP":[133],"can":[134],"outperform":[135],"MLP":[138],"minimal":[140],"additional":[141],"complexity,":[142],"while":[143],"maintains":[145],"performance":[146,194],"comparable":[147],"reduced":[153],"apply":[157],"pruning":[158],"quantisation":[160],"techniques":[161],"proposed":[167],"model,":[169],"aiming":[170],"further":[172],"its":[174],"compression":[177],"yields":[178],"substantial":[179],"reductions":[180],"parameter":[182],"gate":[185],"count":[186],"when":[187],"compiled":[188],"hardware,":[191],"albeit":[192],"degradation.":[195]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-01T00:00:00"}