{"id":"https://openalex.org/W7224300002","doi":"https://doi.org/10.2298/csis260411051w","title":"Enhancing image classification with multi-data-per-qubit processing: A high-efficiency quantum convolutional scheme","display_name":"Enhancing image classification with multi-data-per-qubit processing: A high-efficiency quantum convolutional scheme","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7224300002","doi":"https://doi.org/10.2298/csis260411051w"},"language":"en","primary_location":{"id":"doi:10.2298/csis260411051w","doi":"https://doi.org/10.2298/csis260411051w","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis260411051w","pdf_url":null,"source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.2298/csis260411051w","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5160149525","display_name":"Xiaoliang Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]},{"id":"https://openalex.org/I4210161599","display_name":"Hechi University","ror":"https://ror.org/05pjkyk24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210161599"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoliang Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Hunan University of Science and Technology, China + School of Artificial Intelligence and Manufacturing, Hechi University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan University of Science and Technology, China + School of Artificial Intelligence and Manufacturing, Hechi University, China","institution_ids":["https://openalex.org/I121296143","https://openalex.org/I4210161599"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124186689","display_name":"Lianghai Chen","orcid":"https://orcid.org/0009-0005-4051-0704","observed_orcids":["https://orcid.org/0009-0005-4051-0704"]},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianghai Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Hunan University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan University of Science and Technology, China","institution_ids":["https://openalex.org/I121296143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124172688","display_name":"Yi Lu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Lu","raw_affiliation_strings":["School of Computer Science and Engineering, Hunan University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan University of Science and Technology, China","institution_ids":["https://openalex.org/I121296143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046818326","display_name":"Liang Bai","orcid":"https://orcid.org/0000-0002-0380-2995","observed_orcids":["https://orcid.org/0000-0002-0380-2995","https://orcid.org/0000-0002-7821-2666"]},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Bai","raw_affiliation_strings":["School of Computer Science and Engineering, Hunan University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan University of Science and Technology, China","institution_ids":["https://openalex.org/I121296143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124226403","display_name":"Huaning Song","orcid":"https://orcid.org/0009-0004-0471-6134","observed_orcids":["https://orcid.org/0009-0004-0471-6134"]},"institutions":[{"id":"https://openalex.org/I4210161599","display_name":"Hechi University","ror":"https://ror.org/05pjkyk24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210161599"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaning Song","raw_affiliation_strings":["School of Artificial Intelligence and Manufacturing, Hechi University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Manufacturing, Hechi University, China","institution_ids":["https://openalex.org/I4210161599"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5160146118","display_name":"Kuanching Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuanching Li","raw_affiliation_strings":["School of Computer Science and Engineering, Hunan University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan University of Science and Technology, China","institution_ids":["https://openalex.org/I121296143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":"00","first_page":"51","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":1.0,"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":1.0,"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":0.0,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quantum-convolutional-neural-networks","display_name":"quantum convolutional neural networks","score":0.9980000257492065},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.781000018119812},{"id":"https://openalex.org/keywords/quantum-resource-reduction","display_name":"quantum resource reduction","score":0.6949999928474426},{"id":"https://openalex.org/keywords/quantum-classical-hybrid-models","display_name":"quantum-classical hybrid models","score":0.7160000205039978},{"id":"https://openalex.org/keywords/noisy-quantum-simulation","display_name":"noisy quantum simulation","score":0.7260000109672546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7926999926567078},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7351999878883362},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6172999739646912},{"id":"https://openalex.org/C182953411","wikidata":"https://www.wikidata.org/wiki/Q917713","display_name":"Controlled NOT gate","level":5,"score":0.6137999892234802},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5400999784469604},{"id":"https://openalex.org/C203087015","wikidata":"https://www.wikidata.org/wiki/Q378201","display_name":"Qubit","level":3,"score":0.5358999967575073},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5246999859809875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5063999891281128},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.49779999256134033},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4867999851703644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45249998569488525},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4133000075817108},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.40059998631477356},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.38690000772476196},{"id":"https://openalex.org/C59500034","wikidata":"https://www.wikidata.org/wiki/Q1464944","display_name":"Quantum Fourier transform","level":5,"score":0.36559998989105225},{"id":"https://openalex.org/C58849907","wikidata":"https://www.wikidata.org/wiki/Q2118982","display_name":"Quantum gate","level":4,"score":0.36230000853538513},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.34549999237060547},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3379000127315521},{"id":"https://openalex.org/C124148022","wikidata":"https://www.wikidata.org/wiki/Q2122210","display_name":"Quantum circuit","level":5,"score":0.32269999384880066},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.29840001463890076},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C192122513","wikidata":"https://www.wikidata.org/wiki/Q2835770","display_name":"Quantum phase estimation algorithm","level":5,"score":0.27469998598098755},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2515000104904175},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2298/csis260411051w","doi":"https://doi.org/10.2298/csis260411051w","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis260411051w","pdf_url":null,"source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2298/csis260411051w","doi":"https://doi.org/10.2298/csis260411051w","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis260411051w","pdf_url":null,"source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4408556437","https://openalex.org/W4407638350","https://openalex.org/W7141414701","https://openalex.org/W7134176184","https://openalex.org/W7118913317","https://openalex.org/W4416991376","https://openalex.org/W4415004489","https://openalex.org/W4383744812","https://openalex.org/W7134181233","https://openalex.org/W4417339070"],"abstract_inverted_index":{"As":[0],"an":[1],"emerging":[2],"research":[3],"direction":[4],"in":[5],"quantum":[6,8,18,35,51,76,109,170,194],"computing,":[7],"convolutional":[9,45,195],"neural":[10,46,196],"networks":[11],"provide":[12],"a":[13,42,57,68,174,183,199],"promising":[14],"way":[15],"to":[16,62,74,92,123,131],"combine":[17],"feature":[19,81,205],"processing":[20],"with":[21,96,127],"traditional":[22,164],"machine":[23],"learning":[24],"algorithms;":[25],"however,":[26],"their":[27],"development":[28],"is":[29,90],"constrained":[30],"by":[31],"the":[32,105,112,151,163,187],"scarcity":[33],"of":[34,71,107,137,193],"resources.":[36],"In":[37],"this":[38],"work,":[39],"we":[40,119],"propose":[41],"quantum-classical":[43],"hybrid":[44],"network":[47],"model":[48,55,126,153],"based":[49],"on":[50],"convolution":[52,165,171],"kernels.":[53],"This":[54,180],"employs":[56],"multi-data-per-qubit":[58],"rotation-angle":[59],"encoding":[60,145],"scheme":[61,201],"embed":[63],"multiple":[64],"data":[65],"points":[66],"into":[67],"small":[69],"number":[70],"qubits,":[72,138],"aiming":[73],"reduce":[75],"resource":[77],"consumption":[78],"and":[79,99,130,143,157,167,190],"enhance":[80],"extraction":[82],"for":[83,186,202],"image":[84,204],"classification":[85],"tasks.":[86],"Its":[87],"compact":[88,184],"structure":[89,166],"designed":[91],"extract":[93],"multidimensional":[94],"features":[95],"fewer":[97],"qubits":[98],"reduced":[100],"measurement":[101],"overhead,":[102],"thereby":[103],"improving":[104],"utilization":[106],"limited":[108],"resources":[110],"under":[111,134,173],"considered":[113],"setting.":[114],"To":[115],"evaluate":[116],"our":[117,125],"method,":[118],"conducted":[120],"several":[121],"experiments":[122],"compare":[124],"existing":[128,169],"approaches":[129],"assess":[132],"performance":[133,156],"varying":[135],"numbers":[136],"different":[139],"CNOT":[140],"gate":[141],"configurations,":[142],"diverse":[144],"schemes.":[146],"Experimental":[147],"results":[148],"show":[149],"that":[150],"proposed":[152],"achieves":[154],"competitive":[155],"slightly":[158],"higher":[159],"average":[160],"accuracy":[161],"than":[162],"three":[168],"schemes":[172],"Qiskit":[175],"Aer":[176],"noisy":[177],"simulation":[178],"environment.":[179],"investigation":[181],"provides":[182],"design":[185],"structural":[188],"optimization":[189],"low-resource":[191],"implementation":[192],"networks,":[197],"offering":[198],"potential":[200],"quantum-assisted":[203],"extraction.":[206]},"counts_by_year":[],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2026-10-30T00:00:00"}