{"id":"https://openalex.org/W3117786276","doi":"https://doi.org/10.1109/ictc49870.2020.9289439","title":"A Tutorial on Quantum Convolutional Neural Networks (QCNN)","display_name":"A Tutorial on Quantum Convolutional Neural Networks (QCNN)","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3117786276","doi":"https://doi.org/10.1109/ictc49870.2020.9289439","mag":"3117786276"},"language":"en","primary_location":{"id":"doi:10.1109/ictc49870.2020.9289439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc49870.2020.9289439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066096702","display_name":"Seunghyeok Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seunghyeok Oh","raw_affiliation_strings":["Korea University,School of Electrical Engineering,Seoul,Republic of Korea","School of Electrical Engineering, Korea University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,School of Electrical Engineering,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778067","display_name":"Jaeho Choi","orcid":"https://orcid.org/0000-0003-3785-2082"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaeho Choi","raw_affiliation_strings":["Chung-Ang University,School of Computer Science and Engineering,Seoul,Republic of Korea","School of Computer Science and Engineering, Chung-Ang University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Chung-Ang University,School of Computer Science and Engineering,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049202871","display_name":"Joongheon Kim","orcid":"https://orcid.org/0000-0003-2126-768X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joongheon Kim","raw_affiliation_strings":["Korea University,School of Electrical Engineering,Seoul,Republic of Korea","School of Electrical Engineering, Korea University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,School of Electrical Engineering,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066096702"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":10.1954,"has_fulltext":false,"cited_by_count":158,"citation_normalized_percentile":{"value":0.985821,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"236","last_page":"239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9921000003814697,"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/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/mnist-database","display_name":"MNIST database","score":0.8147257566452026},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8044242858886719},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7349260449409485},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.7079206109046936},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5596882104873657},{"id":"https://openalex.org/keywords/quantum-entanglement","display_name":"Quantum entanglement","score":0.5426057577133179},{"id":"https://openalex.org/keywords/renormalization","display_name":"Renormalization","score":0.4991621971130371},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.4930700957775116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46723228693008423},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4604980945587158},{"id":"https://openalex.org/keywords/quantum-algorithm","display_name":"Quantum algorithm","score":0.42819955945014954},{"id":"https://openalex.org/keywords/ansatz","display_name":"Ansatz","score":0.4279375672340393},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40218207240104675},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36608123779296875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32810714840888977},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.09872522950172424},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08304223418235779}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8147257566452026},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8044242858886719},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7349260449409485},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.7079206109046936},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5596882104873657},{"id":"https://openalex.org/C121040770","wikidata":"https://www.wikidata.org/wiki/Q215675","display_name":"Quantum entanglement","level":3,"score":0.5426057577133179},{"id":"https://openalex.org/C166124518","wikidata":"https://www.wikidata.org/wiki/Q1047702","display_name":"Renormalization","level":2,"score":0.4991621971130371},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.4930700957775116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46723228693008423},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4604980945587158},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.42819955945014954},{"id":"https://openalex.org/C130979935","wikidata":"https://www.wikidata.org/wiki/Q568954","display_name":"Ansatz","level":2,"score":0.4279375672340393},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40218207240104675},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36608123779296875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32810714840888977},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.09872522950172424},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08304223418235779}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc49870.2020.9289439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc49870.2020.9289439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1568345435","https://openalex.org/W2093774709","https://openalex.org/W2112796928","https://openalex.org/W2161685427","https://openalex.org/W2163605009","https://openalex.org/W2257937122","https://openalex.org/W2604467189","https://openalex.org/W2754868542","https://openalex.org/W2781738013","https://openalex.org/W2896712926","https://openalex.org/W2903221501","https://openalex.org/W2972032089","https://openalex.org/W3007475506","https://openalex.org/W3010243192","https://openalex.org/W3098268180","https://openalex.org/W3098400458","https://openalex.org/W3100931082","https://openalex.org/W3103898263","https://openalex.org/W6634007516","https://openalex.org/W6684191040","https://openalex.org/W6774854366"],"related_works":["https://openalex.org/W2158331753","https://openalex.org/W4292952886","https://openalex.org/W4324139201","https://openalex.org/W4317667567","https://openalex.org/W2409877639","https://openalex.org/W4388704119","https://openalex.org/W2910123824","https://openalex.org/W4213379151","https://openalex.org/W3206120658","https://openalex.org/W1889203613"],"abstract_inverted_index":{"Convolutional":[0,44],"Neural":[1,45],"Network":[2,46],"(CNN)":[3],"is":[4,27,198],"a":[5,49,53,60,65,83,130,139,166,175,187],"popular":[6],"model":[7,39,84,112,148,156,169,182,197],"in":[8,91,150,161],"computer":[9,153],"vision":[10],"and":[11,94,165],"has":[12],"the":[13,20,33,69,88,98,103,111,134,145,151,180,195,209,213],"advantage":[14],"of":[15,19,23,36,71,100,200],"making":[16],"good":[17],"use":[18],"correlation":[21],"information":[22],"data.":[24],"However,":[25],"CNN":[26,58,101,146,181,205],"challenging":[28],"to":[29,52,55,67,79,85,102,132,144,179,204],"learn":[30],"efficiently":[31],"if":[32],"given":[34],"dimension":[35],"data":[37],"or":[38,64,183],"becomes":[40],"too":[41],"large.":[42],"Quantum":[43,215],"(QCNN)":[47],"provides":[48],"new":[50],"solution":[51],"problem":[54,90],"solve":[56,87],"with":[57,117,186],"using":[59,120,141,208],"quantum":[61,92,104,142,163,176],"computing":[62,105,143],"environment,":[63],"direction":[66],"improve":[68,133],"performance":[70,136],"an":[72],"existing":[73,152],"learning":[74,147,168,202],"model.":[75],"The":[76,107,126],"first":[77],"study":[78,128],"be":[80,115,159,171],"introduced":[81],"proposes":[82,110],"effectively":[86],"classification":[89],"physics":[93],"chemistry":[95],"by":[96,137,173],"applying":[97],"structure":[99],"environment.":[106],"research":[108],"also":[109,158,192],"that":[113],"can":[114,157,170],"calculated":[116],"O(log(n))":[118],"depth":[119],"Multi-scale":[121],"Entanglement":[122],"Renormalization":[123],"Ansatz":[124],"(MERA).":[125],"second":[127],"introduces":[129],"method":[131],"model's":[135],"adding":[138,174],"layer":[140,178],"used":[149,160],"vision.":[154],"This":[155,190],"small":[162],"computers,":[164],"hybrid":[167],"designed":[172],"convolution":[177,188],"replacing":[184],"it":[185],"layer.":[189],"paper":[191],"verifies":[193],"whether":[194],"QCNN":[196],"capable":[199],"efficient":[201],"compared":[203],"through":[206,212],"training":[207],"MNIST":[210],"dataset":[211],"TensorFlow":[214],"platform.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":31},{"year":2024,"cited_by_count":41},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
