{"id":"https://openalex.org/W2964097850","doi":"https://doi.org/10.1002/qute.201800078","title":"Variational Quantum Circuit Model for Knowledge Graph Embedding","display_name":"Variational Quantum Circuit Model for Knowledge Graph Embedding","publication_year":2019,"publication_date":"2019-02-12","ids":{"openalex":"https://openalex.org/W2964097850","doi":"https://doi.org/10.1002/qute.201800078","mag":"2964097850"},"language":"en","primary_location":{"id":"doi:10.1002/qute.201800078","doi":"https://doi.org/10.1002/qute.201800078","is_oa":false,"landing_page_url":"https://doi.org/10.1002/qute.201800078","pdf_url":null,"source":{"id":"https://openalex.org/S4210190593","display_name":"Advanced Quantum Technologies","issn_l":"2511-9044","issn":["2511-9044"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Quantum Technologies","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1903.00556","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066743613","display_name":"Yunpu Ma","orcid":"https://orcid.org/0000-0001-6112-8794","observed_orcids":["https://orcid.org/0000-0001-6112-8794"]},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Yunpu Ma","raw_affiliation_strings":["Ludwig Maximilian University of Munich, Geschwister-Scholl-Platz 1, 80539 Munich, Germany","Siemens AG, Otto-Hahn-Ring 6, 81739 Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0001-6112-8794","affiliations":[{"raw_affiliation_string":"Ludwig Maximilian University of Munich, Geschwister-Scholl-Platz 1, 80539 Munich, Germany","institution_ids":["https://openalex.org/I8204097"]},{"raw_affiliation_string":"Siemens AG, Otto-Hahn-Ring 6, 81739 Munich, Germany","institution_ids":["https://openalex.org/I1325886976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074808403","display_name":"Volker Tresp C","orcid":"https://orcid.org/0000-0001-9428-3686","observed_orcids":["https://orcid.org/0000-0001-9428-3686"]},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Volker Tresp","raw_affiliation_strings":["Ludwig Maximilian University of Munich, Geschwister-Scholl-Platz 1, 80539 Munich, Germany","Siemens AG, Otto-Hahn-Ring 6, 81739 Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ludwig Maximilian University of Munich, Geschwister-Scholl-Platz 1, 80539 Munich, Germany","institution_ids":["https://openalex.org/I8204097"]},{"raw_affiliation_string":"Siemens AG, Otto-Hahn-Ring 6, 81739 Munich, Germany","institution_ids":["https://openalex.org/I1325886976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101707645","display_name":"Liming Zhao","orcid":"https://orcid.org/0000-0002-1615-144X","observed_orcids":["https://orcid.org/0000-0002-1615-144X"]},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Liming Zhao","raw_affiliation_strings":["Singapore University of Technology and Design, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102730412","display_name":"Yuyi Wang","orcid":"https://orcid.org/0000-0001-7273-9873","observed_orcids":["https://orcid.org/0000-0001-7273-9873","https://orcid.org/0009-0009-4979-5856"]},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Yuyi Wang","raw_affiliation_strings":["ETH Zurich, Gloriastrasse 35, 8092 Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich, Gloriastrasse 35, 8092 Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066743613"],"corresponding_institution_ids":["https://openalex.org/I1325886976","https://openalex.org/I8204097"],"apc_list":{"value":3500,"currency":"USD","value_usd":3500},"apc_paid":null,"fwci":1.2073,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.82235542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"2","issue":"7-8","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9937000274658203,"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":0.9937000274658203,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.003599999938160181,"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/T10028","display_name":"Topic Modeling","score":0.0003000000142492354,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/knowledge-graph-embedding","display_name":"knowledge graph embedding","score":0.968999981880188},{"id":"https://openalex.org/keywords/variational-quantum-circuits","display_name":"variational quantum circuits","score":0.9929999709129333},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"statistical relational learning","score":0.9449999928474426},{"id":"https://openalex.org/keywords/quantum-advantage","display_name":"quantum advantage","score":0.5},{"id":"https://openalex.org/keywords/entity-embeddings","display_name":"entity embeddings","score":0.7400000095367432},{"id":"https://openalex.org/keywords/inductive-reasoning","display_name":"inductive reasoning","score":0.7300000190734863},{"id":"https://openalex.org/keywords/distmult","display_name":"DistMult","score":0.9980000257492065}],"concepts":[{"id":"https://openalex.org/C124148022","wikidata":"https://www.wikidata.org/wiki/Q2122210","display_name":"Quantum circuit","level":5,"score":0.6774091720581055},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5946425199508667},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5532630085945129},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5215113759040833},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.5034882426261902},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47496435046195984},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.45359864830970764},{"id":"https://openalex.org/C2779094486","wikidata":"https://www.wikidata.org/wiki/Q18811578","display_name":"Quantum machine learning","level":4,"score":0.4535728991031647},{"id":"https://openalex.org/C15706264","wikidata":"https://www.wikidata.org/wiki/Q230883","display_name":"Quantum state","level":3,"score":0.43396225571632385},{"id":"https://openalex.org/C58849907","wikidata":"https://www.wikidata.org/wiki/Q2118982","display_name":"Quantum gate","level":4,"score":0.41605618596076965},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3523053526878357},{"id":"https://openalex.org/C51003876","wikidata":"https://www.wikidata.org/wiki/Q1536431","display_name":"Quantum error correction","level":4,"score":0.3393949270248413},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2539594769477844},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.23342519998550415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18969401717185974},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.144686758518219}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1002/qute.201800078","doi":"https://doi.org/10.1002/qute.201800078","is_oa":false,"landing_page_url":"https://doi.org/10.1002/qute.201800078","pdf_url":null,"source":{"id":"https://openalex.org/S4210190593","display_name":"Advanced Quantum Technologies","issn_l":"2511-9044","issn":["2511-9044"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Quantum Technologies","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1903.00556","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.00556","pdf_url":"https://arxiv.org/pdf/1903.00556","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/359649","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/359649","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advanced Quantum Technologies, 2 (7-8)","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.1903.00556","doi":"https://doi.org/10.48550/arxiv.1903.00556","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1903.00556","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1903.00556","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.00556","pdf_url":"https://arxiv.org/pdf/1903.00556","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320322923","display_name":"Siemens","ror":"https://ror.org/059mq0909"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964097850.pdf","grobid_xml":"https://content.openalex.org/works/W2964097850.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W22923443","https://openalex.org/W183543895","https://openalex.org/W205829674","https://openalex.org/W212428657","https://openalex.org/W1533230146","https://openalex.org/W1963826206","https://openalex.org/W1990514347","https://openalex.org/W2006290558","https://openalex.org/W2084652510","https://openalex.org/W2121981260","https://openalex.org/W2127795553","https://openalex.org/W2145544171","https://openalex.org/W2187089797","https://openalex.org/W2204682854","https://openalex.org/W2250184916","https://openalex.org/W2331143823","https://openalex.org/W2402144811","https://openalex.org/W2432356473","https://openalex.org/W2718964918","https://openalex.org/W2728059831","https://openalex.org/W2796293949","https://openalex.org/W2809202707","https://openalex.org/W2912811302","https://openalex.org/W2919997280","https://openalex.org/W2951077644","https://openalex.org/W2964039664","https://openalex.org/W3037687232","https://openalex.org/W3120740533","https://openalex.org/W4300579117","https://openalex.org/W6910414955"],"related_works":["https://openalex.org/W2912853820","https://openalex.org/W4406262071","https://openalex.org/W7130635890","https://openalex.org/W7084080174","https://openalex.org/W7155009038","https://openalex.org/W4389159482","https://openalex.org/W4312244792","https://openalex.org/W4410719957","https://openalex.org/W4225685828","https://openalex.org/W4317831000"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2,79],"work,":[3],"the":[4,9,36,61,65,68,76,101,108,113,122,129,137,150,152,158,167],"first":[5,45,66],"quantum":[6,18,26,50,62,69,84,97,103,114,123],"Ans\u00e4tze":[7],"for":[8,28,42,141],"statistical":[10],"relational":[11],"learning":[12],"on":[13,60,100,157],"knowledge":[14,29,159],"graphs":[15,160],"using":[16],"parametric":[17,57],"circuits":[19,27],"are":[20,32,44,54,93],"proposed.":[21],"Two":[22],"types":[23],"of":[24,49,78,91,107,154,169],"variational":[25],"graph":[30],"embedding":[31],"introduced.":[33],"Inspired":[34],"by":[35,56],"classical":[37,139],"representation":[38],"learning,":[39],"latent":[40],"features":[41],"entities":[43,92],"considered":[46],"as":[47],"coefficients":[48],"states,":[51],"while":[52],"predicates":[53],"characterized":[55],"gates":[58,98],"acting":[59,99],"states.":[63],"For":[64],"model,":[67],"advantages":[70],"disappear":[71],"when":[72],"it":[73],"comes":[74],"to":[75,136,166],"optimization":[77],"model.":[80],"Therefore,":[81],"a":[82],"second":[83,109],"circuit":[85],"model":[86],"is":[87,111,126],"introduced":[88],"where":[89],"embeddings":[90,115],"generated":[94],"from":[95],"parameterized":[96],"pure":[102],"state.":[104],"The":[105],"benefit":[106],"method":[110],"that":[112,128],"can":[116,132],"be":[117,162],"trained":[118],"efficiently":[119],"meanwhile":[120],"preserving":[121],"advantages.":[124],"It":[125],"shown":[127],"proposed":[130],"methods":[131],"achieve":[133],"comparable":[134],"results":[135],"state\u2010of\u2010the\u2010art":[138],"models,":[140,151],"example,":[142],"RESCAL":[143],",":[144],"DistMult":[145],".":[146],"Furthermore,":[147],"after":[148],"optimizing":[149],"complexity":[153],"inductive":[155],"inference":[156],"might":[161],"reduced":[163],"with":[164],"respect":[165],"number":[168],"entities.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-07-30T00:00:00"}