{"id":"https://openalex.org/W4394804875","doi":"https://doi.org/10.1109/tnnls.2024.3382174","title":"A Quantum Spatial Graph Convolutional Neural Network Model on Quantum Circuits","display_name":"A Quantum Spatial Graph Convolutional Neural Network Model on Quantum Circuits","publication_year":2024,"publication_date":"2024-04-15","ids":{"openalex":"https://openalex.org/W4394804875","doi":"https://doi.org/10.1109/tnnls.2024.3382174","pmid":"https://pubmed.ncbi.nlm.nih.gov/38619956"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3382174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3382174","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ruj.uj.edu.pl/handle/item/330619","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100680278","display_name":"Jin Zheng","orcid":"https://orcid.org/0000-0002-1325-4312"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Zheng","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009455568","display_name":"Qing Gao","orcid":"https://orcid.org/0000-0001-8000-7736"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Gao","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","Zhongguancun Laboratory, Beijing, China","Hangzhou Innovation Institute, Beihang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Zhongguancun Laboratory, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Hangzhou Innovation Institute, Beihang University, Hangzhou, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057147481","display_name":"Maciej Ogorza\u0142ek","orcid":"https://orcid.org/0000-0003-3314-269X"},"institutions":[{"id":"https://openalex.org/I126596746","display_name":"Jagiellonian University","ror":"https://ror.org/03bqmcz70","country_code":"PL","type":"education","lineage":["https://openalex.org/I126596746"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Maciej Ogorza\u0142ek","raw_affiliation_strings":["Department of Information Technologies, Jagiellonian University, Kraków, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Information Technologies, Jagiellonian University, Kraków, Poland","institution_ids":["https://openalex.org/I126596746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027725400","display_name":"Jinhu L\u00fc","orcid":"https://orcid.org/0000-0003-0275-8387"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhu L\u00fc","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","Zhongguancun Laboratory, Beijing, China","Hangzhou Innovation Institute, Beihang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Zhongguancun Laboratory, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Hangzhou Innovation Institute, Beihang University, Hangzhou, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082404485","display_name":"Yue Deng","orcid":"https://orcid.org/0000-0003-2871-8922"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Deng","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100680278"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":8.3404,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.97945853,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"36","issue":"3","first_page":"5706","last_page":"5720"},"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/T10382","display_name":"Quantum and electron transport phenomena","score":0.9961000084877014,"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/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.9951000213623047,"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/computer-science","display_name":"Computer science","score":0.6557838916778564},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5837489366531372},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.5465564131736755},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5040954351425171},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4847671389579773},{"id":"https://openalex.org/keywords/quantum-algorithm","display_name":"Quantum algorithm","score":0.45935559272766113},{"id":"https://openalex.org/keywords/quantum-circuit","display_name":"Quantum circuit","score":0.4467789828777313},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.4457531273365021},{"id":"https://openalex.org/keywords/quantum-network","display_name":"Quantum network","score":0.35153648257255554},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3392711281776428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33383995294570923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6557838916778564},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5837489366531372},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5465564131736755},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5040954351425171},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4847671389579773},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.45935559272766113},{"id":"https://openalex.org/C124148022","wikidata":"https://www.wikidata.org/wiki/Q2122210","display_name":"Quantum circuit","level":5,"score":0.4467789828777313},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.4457531273365021},{"id":"https://openalex.org/C186468114","wikidata":"https://www.wikidata.org/wiki/Q836478","display_name":"Quantum network","level":4,"score":0.35153648257255554},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3392711281776428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33383995294570923},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2024.3382174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3382174","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38619956","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38619956","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:ruj.uj.edu.pl:item/330619","is_oa":true,"landing_page_url":"https://ruj.uj.edu.pl/handle/item/330619","pdf_url":null,"source":{"id":"https://openalex.org/S4306401249","display_name":"Jagiellonian University Repository (Jagiellonian University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126596746","host_organization_name":"Jagiellonian University","host_organization_lineage":["https://openalex.org/I126596746"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ruj.uj.edu.pl:item/330619","is_oa":true,"landing_page_url":"https://ruj.uj.edu.pl/handle/item/330619","pdf_url":null,"source":{"id":"https://openalex.org/S4306401249","display_name":"Jagiellonian University Repository (Jagiellonian University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126596746","host_organization_name":"Jagiellonian University","host_organization_lineage":["https://openalex.org/I126596746"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5602450663","display_name":null,"funder_award_id":"62273016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1492230849","https://openalex.org/W1990514347","https://openalex.org/W2003656163","https://openalex.org/W2025167103","https://openalex.org/W2039331148","https://openalex.org/W2046761109","https://openalex.org/W2065516801","https://openalex.org/W2142498761","https://openalex.org/W2147286743","https://openalex.org/W2155912412","https://openalex.org/W2191308561","https://openalex.org/W2559394418","https://openalex.org/W2604314403","https://openalex.org/W2759136286","https://openalex.org/W2762334305","https://openalex.org/W2774424698","https://openalex.org/W2788919350","https://openalex.org/W2790388700","https://openalex.org/W2794444783","https://openalex.org/W2796293949","https://openalex.org/W2798434869","https://openalex.org/W2809024202","https://openalex.org/W2879447321","https://openalex.org/W2896712926","https://openalex.org/W2899922526","https://openalex.org/W2902515237","https://openalex.org/W2903221501","https://openalex.org/W2903871660","https://openalex.org/W2907492528","https://openalex.org/W2913256983","https://openalex.org/W2963017945","https://openalex.org/W2963084622","https://openalex.org/W2980446414","https://openalex.org/W2982169647","https://openalex.org/W2990961515","https://openalex.org/W3007060332","https://openalex.org/W3015616869","https://openalex.org/W3098306754","https://openalex.org/W3098400458","https://openalex.org/W3098477102","https://openalex.org/W3098594497","https://openalex.org/W3101122608","https://openalex.org/W3104396616","https://openalex.org/W3105506151","https://openalex.org/W3107698810","https://openalex.org/W3115010286","https://openalex.org/W3132743969","https://openalex.org/W3136233239","https://openalex.org/W3173713405","https://openalex.org/W3183241772","https://openalex.org/W3202884269","https://openalex.org/W3207697613","https://openalex.org/W3213744715","https://openalex.org/W4289606390","https://openalex.org/W6628717828","https://openalex.org/W6681029592","https://openalex.org/W6695479203","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6746715655","https://openalex.org/W6755964158","https://openalex.org/W6758327135","https://openalex.org/W6761665040","https://openalex.org/W6785740542"],"related_works":["https://openalex.org/W2409877639","https://openalex.org/W4388704119","https://openalex.org/W2910123824","https://openalex.org/W2045473016","https://openalex.org/W4213379151","https://openalex.org/W1889203613","https://openalex.org/W4281550036","https://openalex.org/W3206120658","https://openalex.org/W3119323601","https://openalex.org/W3131420525"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"a":[3,19],"quantum":[4,16,32,50,53,58,104],"spatial":[5],"graph":[6,54,59,89],"convolutional":[7,55],"neural":[8,105],"network":[9,64,106],"(QSGCN)":[10],"model":[11,73],"that":[12],"is":[13,74],"implementable":[14],"on":[15,28,78],"circuits,":[17],"providing":[18],"novel":[20],"avenue":[21],"to":[22,42,93],"processing":[23],"non-Euclidean":[24],"type":[25],"data":[26,90],"based":[27],"the":[29,44,49,52,57,63,68,71,79,95,102],"state-of-the-art":[30],"parameterized":[31],"circuit":[33],"(PQC)":[34],"computing":[35],"platforms.":[36],"Four":[37],"basic":[38],"blocks":[39],"are":[40,91],"constructed":[41],"formulate":[43],"whole":[45],"QSGCN":[46,72],"model,":[47],"including":[48],"encoding,":[51],"layer,":[56,61],"pooling":[60],"and":[62,98],"optimization.":[65],"In":[66],"particular,":[67],"trainability":[69],"of":[70,88,101],"analyzed":[75],"through":[76],"discussions":[77],"barren":[80],"plateau":[81],"phenomenon.":[82],"Simulation":[83],"results":[84],"from":[85],"various":[86],"types":[87],"presented":[92],"demonstrate":[94],"learning,":[96],"generalization,":[97],"robustness":[99],"capabilities":[100],"proposed":[103],"(QNN)":[107],"model.":[108]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}