{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T16:57:31Z","timestamp":1783184251178,"version":"3.54.6"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014188","name":"Korean Government through the Ministry of Science and ICT (MSIT), South Korea","doi-asserted-by":"publisher","award":["NRF-2019R1I1A3A01060518"],"award-info":[{"award-number":["NRF-2019R1I1A3A01060518"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Institute of Information & Communications Technology Planning & Evaluation"},{"name":"Korea Government (MSIT) through the Artificial Intelligence Convergence Innovation Human Resources Development","award":["RS-2023-00254177"],"award-info":[{"award-number":["RS-2023-00254177"]}]},{"name":"MSIT under the Information Technology Research Center (ITRC) Support Program supervised by IITP","award":["IITP-2023-RS-2023-00260098"],"award-info":[{"award-number":["IITP-2023-RS-2023-00260098"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3323019","type":"journal-article","created":{"date-parts":[[2023,10,9]],"date-time":"2023-10-09T19:17:27Z","timestamp":1696879047000},"page":"113726-113739","source":"Crossref","is-referenced-by-count":26,"title":["Hybrid Quantum Convolutional Neural Networks for UWB Signal Classification"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5926-6642","authenticated-orcid":false,"given":"Seon-Geun","family":"Jeong","sequence":"first","affiliation":[{"name":"Department of Information Convergence Engineering, Center for Artificial Intelligence Research, Pusan National University, Yangsan-si, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quang-Vinh","family":"Do","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Research Center, Pusan National University, Busan, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hae-Ji","family":"Hwang","sequence":"additional","affiliation":[{"name":"Department of Information Convergence Engineering, Center for Artificial Intelligence Research, Pusan National University, Yangsan-si, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5638-8022","authenticated-orcid":false,"given":"Mikio","family":"Hasegawa","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3557-1463","authenticated-orcid":false,"given":"Hiroo","family":"Sekiya","sequence":"additional","affiliation":[{"name":"Graduate School of Engineering, Chiba University, Chiba, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8398-564X","authenticated-orcid":false,"given":"Won-Joo","family":"Hwang","sequence":"additional","affiliation":[{"name":"Department of Information Convergence Engineering, Center for Artificial Intelligence Research, Pusan National University, Yangsan-si, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/dac.3997"},{"key":"ref35","article-title":"Supervised learning with tensor networks","volume":"29","author":"stoudenmire","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2022.3232479"},{"key":"ref34","author":"nielsen","year":"2010","journal-title":"Quantum Computation and Quantum Information"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICAIIC54071.2022.9722667"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/s41567-019-0648-8"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDH57206.2022.00049"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.102.032420"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3061468"},{"key":"ref30","article-title":"Quantum embeddings for machine learning","author":"lloyd","year":"2020","journal-title":"arXiv 2001 03622"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.3009659"},{"key":"ref33","first-page":"1","article-title":"NLOS channel detection with multilayer perceptron in low-rate personal area networks for indoor localization accuracy improvement","volume":"31","author":"bregar","year":"2016","journal-title":"Proc 8th Jožef Stefan Int Postgraduate School Students Conf"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3209735"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2018.2818158"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-com.2019.1059"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2022.111191"},{"key":"ref17","first-page":"253","article-title":"Multi-layer perceptron decomposition architecture for mobile IoT indoor positioning","author":"sahin","year":"2021","journal-title":"Proc IEEE 7th World Forum Internet Things (WF-IoT)"},{"key":"ref39","first-page":"1173","article-title":"Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learning","volume":"10","author":"bokhan","year":"2022","journal-title":"Frontiers in Physiology"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s41651-020-00059-2"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.69.032315"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40537-021-00444-8","article-title":"Review of deep learning: Concepts, CNN architectures, challenges, applications, future directions","volume":"8","author":"alzubaidi","year":"2021","journal-title":"J Big Data"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.2999904"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3134785"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.98.032309"},{"key":"ref45","article-title":"PennyLane: Automatic differentiation of hybrid quantum-classical computations","author":"bergholm","year":"2018","journal-title":"arXiv 1811 04968"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-018-07090-4"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.05.028"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/nphys3029"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.103.012405"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1088\/2058-9565\/aad3e4"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s42484-021-00061-x"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.98.032309"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41534-020-0272-6"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.99.032331"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-0980-2"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-96424-9"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.122.040504"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2986329"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.23919\/ICACT.2019.8701910"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2920283"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2022.101571"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2019.1800366"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12063-020-00164-x","article-title":"Internet of Things (IoT) based coordination system in agri-food supply chain: Development of an efficient framework using DEMATEL-ISM","volume":"15","author":"yadav","year":"2020","journal-title":"Oper Manag Res"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2019.100997"},{"key":"ref40","article-title":"TensorFlow quantum: A software framework for quantum machine learning","author":"broughton","year":"2020","journal-title":"arXiv 2003 02989"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10274707.pdf?arnumber=10274707","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T19:42:49Z","timestamp":1699299769000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10274707\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3323019","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}