{"id":"https://openalex.org/W4407638350","doi":"https://doi.org/10.1109/access.2025.3543164","title":"An Improved Convolutional Neural Networks: Quantum Pseudo-Transposed Convolutional Neural Networks","display_name":"An Improved Convolutional Neural Networks: Quantum Pseudo-Transposed Convolutional Neural Networks","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407638350","doi":"https://doi.org/10.1109/access.2025.3543164"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3543164","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3543164","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3543164","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100429374","display_name":"Hai Li","orcid":"https://orcid.org/0000-0001-6577-2050"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Hai","raw_affiliation_strings":["School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101612878","display_name":"Liang Chen","orcid":"https://orcid.org/0000-0002-5500-2471"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Liang","raw_affiliation_strings":["School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116295669","display_name":"Hao Yaming","orcid":null},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yaming","raw_affiliation_strings":["School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100933487","display_name":"YU Wen-li","orcid":null},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wenli","raw_affiliation_strings":["School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116295670","display_name":"Shi Fengquan","orcid":null},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Fengquan","raw_affiliation_strings":["School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100429374"],"corresponding_institution_ids":["https://openalex.org/I83776822"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":7.0705,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96011483,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"37108","last_page":"37117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.4528000056743622,"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/T12676","display_name":"Machine Learning and ELM","score":0.4528000056743622,"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":0.4309000074863434,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.42289999127388,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8043511509895325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7057963013648987},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.505584716796875},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.4483078718185425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36255455017089844},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1656956672668457},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.13111335039138794},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12381154298782349}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8043511509895325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7057963013648987},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.505584716796875},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.4483078718185425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36255455017089844},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1656956672668457},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.13111335039138794},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12381154298782349},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3543164","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3543164","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8271b3bbf0e648069a9f2d6c068c2eb8","is_oa":true,"landing_page_url":"https://doaj.org/article/8271b3bbf0e648069a9f2d6c068c2eb8","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 37108-37117 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3543164","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3543164","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G600073499","display_name":null,"funder_award_id":"2022JCYJ044","funder_id":"https://openalex.org/F4320327935","funder_display_name":"Weihai Science and Technology Development Program"}],"funders":[{"id":"https://openalex.org/F4320327935","display_name":"Weihai Science and Technology Development Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2610189143","https://openalex.org/W2159424856","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,237],"quantum":[3,42,62,72,85,117,132],"machine":[4],"learning":[5,214],"have":[6,18],"spurred":[7],"the":[8,28,44,54,61,82,84,95,100,104,136,139,142,152,185,208],"development":[9],"of":[10,31,56,138,151,213],"hybrid":[11,66],"quantum-classical":[12,67],"convolutional":[13,34,73,86],"neural":[14,35],"networks":[15,36],"(HQCCNNs),":[16],"which":[17,156,165],"demonstrated":[19],"promising":[20],"potential":[21],"for":[22,226],"image":[23,228,239],"classification":[24,195,229],"tasks.":[25,230],"Building":[26],"on":[27,141],"operational":[29],"principles":[30],"classical":[32,57,77],"transposed":[33,58,90],"(CNNs),":[37],"we":[38],"introduce":[39],"a":[40,65,71,76,89,115,158,167,234],"novel":[41],"variant:":[43],"Quantum":[45],"Pseudo-Transposed":[46],"Convolutional":[47],"Neural":[48],"Network":[49],"(QPTCNN).":[50],"The":[51,171],"QPTCNN":[52,140,209],"adapts":[53],"concept":[55],"CNNs":[59],"to":[60,201],"domain,":[63],"leveraging":[64],"framework":[68],"that":[69,94,174,207],"combines":[70],"layer":[74,87],"with":[75,147],"fully":[78],"connected":[79],"layer.":[80],"In":[81],"QPTCNN,":[83],"emulates":[88],"convolution":[91],"operation,":[92],"ensuring":[93],"output":[96],"feature":[97,218],"map":[98],"retains":[99],"same":[101],"dimensions":[102],"as":[103,125],"input":[105,221],"image.":[106],"This":[107,231],"is":[108,210],"accomplished":[109],"using":[110],"rotational":[111],"angle":[112],"encoding":[113],"and":[114,127,144,162,178,197,215],"ring-structured":[116],"circuit,":[118,161],"interconnected":[119],"by":[120],"two-qubit":[121],"control":[122],"gates":[123],"such":[124],"CNOT":[126],"CRY":[128],"gates,":[129],"facilitating":[130],"efficient":[131],"convolution.":[133],"We":[134],"evaluated":[135],"performance":[137,183],"MNIST":[143],"Fashion-MNIST":[145],"datasets,":[146],"two":[148],"distinct":[149],"versions":[150],"model:":[153],"Model":[154,163,176,179,188,191],"A,":[155],"utilizes":[157],"CNOT-gate":[159],"entanglement":[160,169],"B,":[164,192],"employs":[166],"CRY-gate":[168],"circuit.":[170],"results":[172],"demonstrate":[173],"both":[175],"A":[177,189],"B":[180],"achieve":[181],"strong":[182],"across":[184],"datasets.":[186],"However,":[187],"outperforms":[190],"achieving":[193],"higher":[194],"accuracy":[196],"lower":[198],"loss":[199],"compared":[200],"earlier":[202],"models.":[203],"These":[204],"findings":[205],"suggest":[206],"highly":[211],"capable":[212],"extracting":[216],"relevant":[217],"information":[219],"from":[220],"images,":[222],"making":[223],"it":[224],"well-suited":[225],"high-performance":[227],"work":[232],"represents":[233],"significant":[235],"advancement":[236],"quantum-enhanced":[238],"classification.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
