{"id":"https://openalex.org/W4387448602","doi":"https://doi.org/10.1109/access.2023.3323019","title":"Hybrid Quantum Convolutional Neural Networks for UWB Signal Classification","display_name":"Hybrid Quantum Convolutional Neural Networks for UWB Signal Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387448602","doi":"https://doi.org/10.1109/access.2023.3323019"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3323019","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3323019","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10274707.pdf","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":null,"license_id":null,"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://ieeexplore.ieee.org/ielx7/6287639/6514899/10274707.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069762146","display_name":"Seon-Geun Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seon-Geun Jeong","raw_affiliation_strings":["Department of Information Convergence Engineering, Center for Artificial Intelligence Research, Pusan National University, Yangsan-si, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-5926-6642","affiliations":[{"raw_affiliation_string":"Department of Information Convergence Engineering, Center for Artificial Intelligence Research, Pusan National University, Yangsan-si, South Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111046943","display_name":"Quang-Vinh Do","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Quang-Vinh Do","raw_affiliation_strings":["Artificial Intelligence Research Center, Pusan National University, Busan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center, Pusan National University, Busan, South Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108880775","display_name":"Hae-Ji Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hae-Ji Hwang","raw_affiliation_strings":["Department of Information Convergence Engineering, Center for Artificial Intelligence Research, Pusan National University, Yangsan-si, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Convergence Engineering, Center for Artificial Intelligence Research, Pusan National University, Yangsan-si, South Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056390537","display_name":"Mikio Hasegawa","orcid":"https://orcid.org/0000-0001-5638-8022"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mikio Hasegawa","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-5638-8022","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021227619","display_name":"Hiroo Sekiya","orcid":"https://orcid.org/0000-0003-3557-1463"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroo Sekiya","raw_affiliation_strings":["Graduate School of Engineering, Chiba University, Chiba, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3557-1463","affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085192467","display_name":"Won\u2013Joo Hwang","orcid":"https://orcid.org/0000-0001-8398-564X"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Won-Joo Hwang","raw_affiliation_strings":["Department of Information Convergence Engineering, Center for Artificial Intelligence Research, Pusan National University, Yangsan-si, South Korea","Department of Biomedical Convergence Engineering, Pusan National University, Yangsan, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-8398-564X","affiliations":[{"raw_affiliation_string":"Department of Information Convergence Engineering, Center for Artificial Intelligence Research, Pusan National University, Yangsan-si, South Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"Department of Biomedical Convergence Engineering, Pusan National University, Yangsan, South Korea","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.1013,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.87680273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"113726","last_page":"113739"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12024","display_name":"Ultra-Wideband Communications Technology","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.8395760655403137},{"id":"https://openalex.org/keywords/non-line-of-sight-propagation","display_name":"Non-line-of-sight propagation","score":0.8153679370880127},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6307744383811951},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.4690105617046356},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4414253830909729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.404800146818161},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.33567506074905396},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.2872835099697113},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24850356578826904},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.23214450478553772}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8395760655403137},{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.8153679370880127},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6307744383811951},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.4690105617046356},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4414253830909729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.404800146818161},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.33567506074905396},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2872835099697113},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24850356578826904},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.23214450478553772},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3323019","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3323019","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10274707.pdf","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:50345fb75fc04010b2536e74ca5e84c5","is_oa":true,"landing_page_url":"https://doaj.org/article/50345fb75fc04010b2536e74ca5e84c5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 113726-113739 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3323019","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3323019","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10274707.pdf","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1493505656","display_name":null,"funder_award_id":"NRF-2019R1I1A3A01060518","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G2916175588","display_name":null,"funder_award_id":"22H05197","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6414508094","display_name":null,"funder_award_id":"IITP-2023-RS-2023-00260098","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G7718938253","display_name":null,"funder_award_id":"NRF-2019R1I1A3A01060518","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7826466224","display_name":"Overall Optimization of Communication Quality and Autonomous Decentralized Algorithms in Heterogeneous Wireless Protocol Mixed Environments","funder_award_id":"23K22763","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321284","display_name":"Pusan National University","ror":"https://ror.org/01an57a31"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387448602.pdf","grobid_xml":"https://content.openalex.org/works/W4387448602.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1988369744","https://openalex.org/W2003656163","https://openalex.org/W2551156993","https://openalex.org/W2790388700","https://openalex.org/W2792946961","https://openalex.org/W2794396553","https://openalex.org/W2794444783","https://openalex.org/W2798434869","https://openalex.org/W2888774813","https://openalex.org/W2896712926","https://openalex.org/W2903221501","https://openalex.org/W2943409854","https://openalex.org/W2946902499","https://openalex.org/W2947898397","https://openalex.org/W2954228414","https://openalex.org/W2963239445","https://openalex.org/W2982696264","https://openalex.org/W2990961515","https://openalex.org/W3008702594","https://openalex.org/W3009313620","https://openalex.org/W3010243192","https://openalex.org/W3015589435","https://openalex.org/W3024243470","https://openalex.org/W3033032209","https://openalex.org/W3040270333","https://openalex.org/W3043706389","https://openalex.org/W3049070297","https://openalex.org/W3092959520","https://openalex.org/W3098400458","https://openalex.org/W3104396616","https://openalex.org/W3129694821","https://openalex.org/W3140854437","https://openalex.org/W3167224217","https://openalex.org/W3192227636","https://openalex.org/W3201342863","https://openalex.org/W3213952670","https://openalex.org/W4214853664","https://openalex.org/W4220730958","https://openalex.org/W4224217417","https://openalex.org/W4287905360","https://openalex.org/W4289606390","https://openalex.org/W4309713817","https://openalex.org/W4312939894","https://openalex.org/W4312955129","https://openalex.org/W4313547892","https://openalex.org/W6729942461","https://openalex.org/W6755964158","https://openalex.org/W6773050563","https://openalex.org/W6774854366","https://openalex.org/W6810210081"],"related_works":["https://openalex.org/W2172272784","https://openalex.org/W2003817535","https://openalex.org/W4307436769","https://openalex.org/W2258106632","https://openalex.org/W2900608567","https://openalex.org/W2786742173","https://openalex.org/W1977989201","https://openalex.org/W2770110807","https://openalex.org/W2954228414","https://openalex.org/W4384927734"],"abstract_inverted_index":{"With":[0],"the":[1,38,56,128,147,150,155,160,167,170],"increasing":[2],"requirements":[3],"for":[4,7,71,109,127],"location-based":[5],"services":[6],"Internet":[8],"of":[9,149],"things":[10],"(IoT)":[11],"applications,":[12],"ultrawideband":[13],"(UWB)":[14],"technology":[15],"provides":[16],"accurate":[17],"indoor":[18,22],"positioning":[19,41,73],"capabilities.":[20],"However,":[21],"environments":[23],"contain":[24],"various":[25,76],"obstacles":[26],"leading":[27],"to":[28,55,60,145],"significant":[29],"signal":[30,47,67,111],"propagation":[31],"effects.":[32],"This":[33,97],"results":[34,164],"in":[35,37],"errors":[36,53],"time-of-arrival-based":[39],"UWB":[40,66,81,110,140],"system.":[42],"Specifically,":[43],"a":[44,61,100,107,115,119],"non-line-of-sight":[45],"(NLOS)":[46],"induces":[48],"additional":[49],"distance":[50],"and":[51,92,123,136,153],"position":[52],"owing":[54],"path":[57],"delay":[58],"compared":[59,154],"line-of-sight":[62],"(LOS)":[63],"signal.":[64],"Therefore,":[65],"classification":[68],"is":[69],"essential":[70],"improving":[72],"accuracy.":[74],"Recently,":[75],"approaches":[77],"have":[78],"successfully":[79],"classified":[80],"signals,":[82],"including":[83],"machine-learning-based":[84],"methods":[85],"such":[86],"as":[87],"convolutional":[88,129],"neural":[89],"networks":[90],"(CNNs)":[91],"long":[93],"short-term":[94],"memory":[95],"(LSTM).":[96],"study":[98],"proposes":[99],"hybrid":[101],"quantum":[102,120,125],"CNN":[103,108],"(HQCNN)":[104],"inspired":[105],"by":[106],"classification.":[112],"HQCNN":[113,158,168],"employs":[114],"classical":[116],"layer":[117],"before":[118],"embedding":[121],"circuit":[122],"variational":[124],"circuits":[126],"filter.":[130],"These":[131],"structures":[132],"enable":[133],"efficient":[134],"training":[135],"implementation.":[137],"We":[138],"used":[139],"channel":[141],"impulse":[142],"response":[143],"data":[144],"demonstrate":[146],"performance":[148],"proposed":[151],"algorithm":[152],"benchmarks":[156],"with":[157],"using":[159],"evaluation":[161],"metrics.":[162],"The":[163],"showed":[165],"that":[166],"outperformed":[169],"others.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}
