{"id":"https://openalex.org/W7160634569","doi":"https://doi.org/10.1145/3803833.3803843","title":"Quantum Machine Learning Performance Analysis: Performance Comparison Between Classical Neural Networks and Quantum Neural Networks","display_name":"Quantum Machine Learning Performance Analysis: Performance Comparison Between Classical Neural Networks and Quantum Neural Networks","publication_year":2026,"publication_date":"2026-02-06","ids":{"openalex":"https://openalex.org/W7160634569","doi":"https://doi.org/10.1145/3803833.3803843"},"language":null,"primary_location":{"id":"doi:10.1145/3803833.3803843","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3803833.3803843","pdf_url":null,"source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 15th International Conference on Informatics, Environment, Energy and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3803833.3803843","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135715916","display_name":"Pannatat Manmanee","orcid":"https://orcid.org/0009-0002-1011-8590"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Pannatat Manmanee","raw_affiliation_strings":["Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand"],"raw_orcid":"https://orcid.org/0009-0002-1011-8590","affiliations":[{"raw_affiliation_string":"Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand","institution_ids":["https://openalex.org/I131868736"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019042458","display_name":"Chinnapong Angsuchotmetee","orcid":"https://orcid.org/0000-0001-9284-4902"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Chinnapong Angsuchotmetee","raw_affiliation_strings":["Division of Computational Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla, Thailand"],"raw_orcid":"https://orcid.org/0000-0001-9284-4902","affiliations":[{"raw_affiliation_string":"Division of Computational Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla, Thailand","institution_ids":["https://openalex.org/I131868736"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5135715916"],"corresponding_institution_ids":["https://openalex.org/I131868736"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.9613355,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9577000141143799,"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":0.9577000141143799,"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":0.01140000019222498,"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":0.008799999952316284,"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/hyperparameter","display_name":"Hyperparameter","score":0.7961999773979187},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7443000078201294},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.6736999750137329},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.5590000152587891},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4537000060081482},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.3822000026702881}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7961999773979187},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7443000078201294},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.6736999750137329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5967000126838684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5940999984741211},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.5590000152587891},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4537000060081482},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4456999897956848},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3822000026702881},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.36469998955726624},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3188999891281128},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.28360000252723694},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.2782999873161316},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C2779094486","wikidata":"https://www.wikidata.org/wiki/Q18811578","display_name":"Quantum machine learning","level":4,"score":0.26660001277923584},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3803833.3803843","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3803833.3803843","pdf_url":null,"source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 15th International Conference on Informatics, Environment, Energy and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3803833.3803843","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3803833.3803843","pdf_url":null,"source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 15th International Conference on Informatics, Environment, Energy and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W144466379","https://openalex.org/W1994221311","https://openalex.org/W2000467687","https://openalex.org/W2008600367","https://openalex.org/W2011948695","https://openalex.org/W2066593954","https://openalex.org/W2081210383","https://openalex.org/W2123715374","https://openalex.org/W2146464378","https://openalex.org/W2275989665","https://openalex.org/W2755255888","https://openalex.org/W2780265514","https://openalex.org/W2798434869","https://openalex.org/W2801908214","https://openalex.org/W3017382074","https://openalex.org/W3037315640","https://openalex.org/W3037737784","https://openalex.org/W3183970667","https://openalex.org/W4248694960","https://openalex.org/W4280519656","https://openalex.org/W4289606390","https://openalex.org/W4385000828","https://openalex.org/W4386742086","https://openalex.org/W4399270528","https://openalex.org/W4407168522","https://openalex.org/W4407857360","https://openalex.org/W4410317234"],"related_works":[],"abstract_inverted_index":{"This":[0,100],"study":[1],"presents":[2],"a":[3],"performance":[4],"analysis":[5],"of":[6,105,113],"Quantum":[7],"Neural":[8,20],"Networks":[9,21],"(QNN)":[10],"versus":[11],"classical":[12,70,97],"benchmarks.":[13],"We":[14],"compare":[15],"three":[16],"architectures:":[17],"Classical":[18],"Artificial":[19],"(ANN),":[22],"Variational":[23],"QNNs":[24,28],"(VQNN),":[25],"and":[26,38,53,69],"Post-Variational":[27,106],"(Post-QNN)":[29],"across":[30],"standard":[31,114],"classification":[32],"datasets":[33],"(PIMA":[34],"Diabetes,":[35],"Heart":[36,90],"Disease,":[37],"Iris).":[39],"While":[40],"VQNNs":[41,82],"are":[42],"theoretically":[43],"powerful,":[44],"our":[45],"experiments":[46],"reveal":[47],"significant":[48],"challenges":[49],"in":[50,57,108],"hyperparameter":[51],"tuning":[52],"stability,":[54],"often":[55],"resulting":[56],"suboptimal":[58],"accuracy.":[59],"Conversely,":[60],"the":[61,103,110],"Post-QNN":[62],"approach\u2014which":[63],"leverages":[64],"fixed":[65],"quantum":[66,116],"feature":[67],"maps":[68],"optimization\u2014demonstrates":[71],"superior":[72],"stability.":[73],"Our":[74],"results":[75],"show":[76],"that":[77],"Post-QNNs":[78],"not":[79],"only":[80],"outperform":[81],"by":[83],"wide":[84],"margins":[85],"(e.g.,":[86],"+20%":[87],"accuracy":[88],"on":[89],"Disease)":[91],"but":[92],"also":[93],"match":[94],"or":[95],"exceed":[96],"ANN":[98],"performance.":[99],"research":[101],"highlights":[102],"efficacy":[104],"methods":[107],"overcoming":[109],"trainability":[111],"barriers":[112],"parameterized":[115],"circuits.":[117]},"counts_by_year":[],"updated_date":"2026-05-09T06:16:02.287421","created_date":"2026-05-09T00:00:00"}