{"id":"https://openalex.org/W4385956607","doi":"https://doi.org/10.1145/3608251.3608252","title":"Enhanced Machine Learning by a Decorated Quantum Circuit","display_name":"Enhanced Machine Learning by a Decorated Quantum Circuit","publication_year":2023,"publication_date":"2023-06-16","ids":{"openalex":"https://openalex.org/W4385956607","doi":"https://doi.org/10.1145/3608251.3608252"},"language":"en","primary_location":{"id":"doi:10.1145/3608251.3608252","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3608251.3608252","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3608251.3608252","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 The 15th International Conference on Computer Modeling and Simulation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3608251.3608252","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056501736","display_name":"Chenglei Yu","orcid":"https://orcid.org/0000-0001-8474-9542"},"institutions":[{"id":"https://openalex.org/I21945476","display_name":"Shanghai Normal University","ror":"https://ror.org/01cxqmw89","country_code":"CN","type":"education","lineage":["https://openalex.org/I21945476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglei Yu","raw_affiliation_strings":["School of Information and Mechatronics Engineering, Shanghai Normal University, China"],"raw_orcid":"https://orcid.org/0000-0001-8474-9542","affiliations":[{"raw_affiliation_string":"School of Information and Mechatronics Engineering, Shanghai Normal University, China","institution_ids":["https://openalex.org/I21945476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034600001","display_name":"Haiguang Chen","orcid":"https://orcid.org/0009-0001-1322-4535"},"institutions":[{"id":"https://openalex.org/I21945476","display_name":"Shanghai Normal University","ror":"https://ror.org/01cxqmw89","country_code":"CN","type":"education","lineage":["https://openalex.org/I21945476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiguang Chen","raw_affiliation_strings":["School of Information and Mechatronics Engineering, Shanghai Normal University, China"],"raw_orcid":"https://orcid.org/0009-0001-1322-4535","affiliations":[{"raw_affiliation_string":"School of Information and Mechatronics Engineering, Shanghai Normal University, China","institution_ids":["https://openalex.org/I21945476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017760729","display_name":"Tianming Ma","orcid":"https://orcid.org/0009-0007-0533-4981"},"institutions":[{"id":"https://openalex.org/I21945476","display_name":"Shanghai Normal University","ror":"https://ror.org/01cxqmw89","country_code":"CN","type":"education","lineage":["https://openalex.org/I21945476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianming Ma","raw_affiliation_strings":["School of Information and Mechatronics Engineering, Shanghai Normal University, China"],"raw_orcid":"https://orcid.org/0009-0007-0533-4981","affiliations":[{"raw_affiliation_string":"School of Information and Mechatronics Engineering, Shanghai Normal University, China","institution_ids":["https://openalex.org/I21945476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21945476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1005549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9990000128746033,"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":0.9990000128746033,"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/T10320","display_name":"Neural Networks and Applications","score":0.9879999756813049,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9854000210762024,"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":0.6647804975509644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6579617857933044},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.5884379148483276},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5543203949928284},{"id":"https://openalex.org/keywords/quantum-circuit","display_name":"Quantum circuit","score":0.5531159043312073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5092490911483765},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4643194377422333},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4530208110809326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41671204566955566},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.38528093695640564},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.3189108967781067},{"id":"https://openalex.org/keywords/quantum-network","display_name":"Quantum network","score":0.14197379350662231},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13350778818130493},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.11470326781272888},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.11284273862838745},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10217297077178955},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.07465329766273499},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07450023293495178}],"concepts":[{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.6647804975509644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6579617857933044},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.5884379148483276},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5543203949928284},{"id":"https://openalex.org/C124148022","wikidata":"https://www.wikidata.org/wiki/Q2122210","display_name":"Quantum circuit","level":5,"score":0.5531159043312073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5092490911483765},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4643194377422333},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4530208110809326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41671204566955566},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.38528093695640564},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.3189108967781067},{"id":"https://openalex.org/C186468114","wikidata":"https://www.wikidata.org/wiki/Q836478","display_name":"Quantum network","level":4,"score":0.14197379350662231},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13350778818130493},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.11470326781272888},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.11284273862838745},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10217297077178955},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.07465329766273499},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07450023293495178},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3608251.3608252","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3608251.3608252","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3608251.3608252","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 The 15th International Conference on Computer Modeling and Simulation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3608251.3608252","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3608251.3608252","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3608251.3608252","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 The 15th International Conference on Computer Modeling and Simulation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385956607.pdf","grobid_xml":"https://content.openalex.org/works/W4385956607.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2007178835","https://openalex.org/W2194775991","https://openalex.org/W2240536489","https://openalex.org/W2559394418","https://openalex.org/W2789758093","https://openalex.org/W2796293949","https://openalex.org/W2903221501","https://openalex.org/W2995742898","https://openalex.org/W3082455048","https://openalex.org/W3092977835","https://openalex.org/W3105380624","https://openalex.org/W3201525770","https://openalex.org/W3207510357","https://openalex.org/W3208535570","https://openalex.org/W3209684177","https://openalex.org/W4206451978","https://openalex.org/W4206759694","https://openalex.org/W4225016520","https://openalex.org/W4226072562","https://openalex.org/W4280635582","https://openalex.org/W4285181488","https://openalex.org/W4303494316"],"related_works":["https://openalex.org/W4200149527","https://openalex.org/W2045473016","https://openalex.org/W4284882292","https://openalex.org/W4379115997","https://openalex.org/W2792100442","https://openalex.org/W3092615945","https://openalex.org/W4214847524","https://openalex.org/W3133505863","https://openalex.org/W2997740458","https://openalex.org/W4288803996"],"abstract_inverted_index":{"A":[0],"novel":[1],"approach":[2,57],"to":[3],"improve":[4],"traditional":[5],"machine":[6],"learning":[7],"and":[8,51,106],"enhance":[9],"the":[10,15,30,40,49,68,75,94,103],"accuracy":[11],"of":[12,17,32,39],"predictions":[13],"is":[14,58],"use":[16],"quantum":[18,33,52],"variational":[19,34],"circuits.":[20],"Recent":[21],"research":[22],"in":[23],"this":[24,90],"area":[25],"has":[26],"concentrated":[27],"on":[28,102],"incorporating":[29],"training":[31,45,100],"circuits":[35],"as":[36],"a":[37,44],"component":[38],"model.":[41],"We":[42,92],"propose":[43],"methodology":[46],"that":[47,67],"segregates":[48],"classical":[50,69],"layers":[53],"during":[54],"training.":[55],"This":[56],"inspired":[59],"by":[60,96],"migration":[61],"science.":[62],"Initially,":[63],"it":[64],"was":[65],"suggested":[66],"model":[70],"would":[71],"feed":[72],"features":[73],"into":[74],"final":[76],"density":[77],"layer,":[78],"which":[79],"may":[80],"possess":[81],"significant":[82],"geometric":[83],"differences.":[84],"The":[85],"experiment":[86],"conducted":[87],"further":[88],"bolstered":[89],"theory.":[91],"verified":[93],"hypothesis":[95],"conducting":[97],"four":[98],"experimental":[99],"scenarios":[101],"Cifar":[104],"dataset":[105],"evaluating":[107],"their":[108],"accuracy.":[109]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}