{"id":"https://openalex.org/W4380322754","doi":"https://doi.org/10.1145/3579142.3594299","title":"Quantum Machine Learning for Join Order Optimization using Variational Quantum Circuits","display_name":"Quantum Machine Learning for Join Order Optimization using Variational Quantum Circuits","publication_year":2023,"publication_date":"2023-06-12","ids":{"openalex":"https://openalex.org/W4380322754","doi":"https://doi.org/10.1145/3579142.3594299"},"language":"en","primary_location":{"id":"doi:10.1145/3579142.3594299","doi":"https://doi.org/10.1145/3579142.3594299","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3579142.3594299","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3579142.3594299","source":{"id":"https://openalex.org/S7407114379","display_name":"International Workshop on Big Data in Emergent Distributed Environments (BiDEDE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Workshop on Big Data in Emergent Distributed Environments","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3579142.3594299","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009754459","display_name":"Tobias Winker","orcid":"https://orcid.org/0009-0009-6612-4907","observed_orcids":["https://orcid.org/0009-0009-6612-4907"]},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Winker","raw_affiliation_strings":["University of L\u00fcbeck, L\u00fcbeck, Germany"],"raw_orcid":"https://orcid.org/0009-0009-6612-4907","affiliations":[{"raw_affiliation_string":"University of L\u00fcbeck, L\u00fcbeck, Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087801324","display_name":"Umut \u00c7al\u0131ky\u0131lmaz","orcid":"https://orcid.org/0000-0002-7668-0300","observed_orcids":["https://orcid.org/0000-0002-7668-0300"]},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Umut \u00c7alikyilmaz","raw_affiliation_strings":["University of L\u00fcbeck, L\u00fcbeck, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7668-0300","affiliations":[{"raw_affiliation_string":"University of L\u00fcbeck, L\u00fcbeck, Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071062190","display_name":"Le Gruenwald","orcid":"https://orcid.org/0000-0002-5245-4747","observed_orcids":["https://orcid.org/0000-0002-5245-4747"]},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Le Gruenwald","raw_affiliation_strings":["University of Oklahoma, Norman, USA"],"raw_orcid":"https://orcid.org/0000-0002-5245-4747","affiliations":[{"raw_affiliation_string":"University of Oklahoma, Norman, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029547855","display_name":"Sven Groppe","orcid":"https://orcid.org/0000-0001-5196-1117","observed_orcids":["https://orcid.org/0000-0001-5196-1117"]},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sven Groppe","raw_affiliation_strings":["University of L\u00fcbeck, L\u00fcbeck, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5196-1117","affiliations":[{"raw_affiliation_string":"University of L\u00fcbeck, L\u00fcbeck, Germany","institution_ids":["https://openalex.org/I9341345"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.4295,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.95914859,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.8198000192642212,"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":0.8198000192642212,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.16580000519752502,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11106","display_name":"Data Management and Algorithms","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/join-order-optimization","display_name":"join order optimization","score":0.9020000100135803},{"id":"https://openalex.org/keywords/variational-quantum-circuits","display_name":"variational quantum circuits","score":0.8410000205039978},{"id":"https://openalex.org/keywords/quantum-machine-learning","display_name":"quantum machine learning","score":0.8820000290870667},{"id":"https://openalex.org/keywords/hybrid-quantum-classical-algorithms","display_name":"hybrid quantum-classical algorithms","score":0.8180000185966492},{"id":"https://openalex.org/keywords/query-processing","display_name":"query processing","score":0.7820000052452087},{"id":"https://openalex.org/keywords/qubit-encoding","display_name":"qubit encoding","score":0.8629999756813049},{"id":"https://openalex.org/keywords/query-execution-time","display_name":"query execution time","score":0.38600000739097595}],"concepts":[{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.8577989339828491},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.8526017665863037},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.7790431976318359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.750380277633667},{"id":"https://openalex.org/C203087015","wikidata":"https://www.wikidata.org/wiki/Q378201","display_name":"Qubit","level":3,"score":0.5576895475387573},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5037743449211121},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4912266135215759},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4798309803009033},{"id":"https://openalex.org/C188805328","wikidata":"https://www.wikidata.org/wiki/Q4060691","display_name":"Hash join","level":3,"score":0.4422608017921448},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.43001389503479004},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4272438585758209},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35174936056137085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2602163255214691},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.16896885633468628},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1622275412082672},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12773972749710083},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.10491937398910522},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3579142.3594299","doi":"https://doi.org/10.1145/3579142.3594299","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3579142.3594299","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3579142.3594299","source":{"id":"https://openalex.org/S7407114379","display_name":"International Workshop on Big Data in Emergent Distributed Environments (BiDEDE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Workshop on Big Data in Emergent Distributed Environments","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3579142.3594299","doi":"https://doi.org/10.1145/3579142.3594299","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3579142.3594299","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3579142.3594299","source":{"id":"https://openalex.org/S7407114379","display_name":"International Workshop on Big Data in Emergent Distributed Environments (BiDEDE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Workshop on Big Data in Emergent Distributed Environments","raw_type":"proceedings-article"},"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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380322754.pdf","grobid_xml":"https://content.openalex.org/works/W4380322754.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1500256440","https://openalex.org/W1780720686","https://openalex.org/W2018229832","https://openalex.org/W2081728040","https://openalex.org/W2092311917","https://openalex.org/W2100773341","https://openalex.org/W2103956991","https://openalex.org/W2137983211","https://openalex.org/W2150304332","https://openalex.org/W2153329411","https://openalex.org/W2170608991","https://openalex.org/W2790625403","https://openalex.org/W2892625449","https://openalex.org/W2898401615","https://openalex.org/W2903221501","https://openalex.org/W2945680873","https://openalex.org/W2955932731","https://openalex.org/W2972032089","https://openalex.org/W3029535034","https://openalex.org/W3051329393","https://openalex.org/W3093521593","https://openalex.org/W3186691600","https://openalex.org/W3196514226","https://openalex.org/W3198307109","https://openalex.org/W4200380623","https://openalex.org/W4246696625","https://openalex.org/W4281724148","https://openalex.org/W4281751394","https://openalex.org/W4290878206","https://openalex.org/W4380322861"],"related_works":["https://openalex.org/W4400143175","https://openalex.org/W4392916262","https://openalex.org/W4411560082","https://openalex.org/W4414879920","https://openalex.org/W4380433146","https://openalex.org/W4380322861","https://openalex.org/W7164919362","https://openalex.org/W4391054921","https://openalex.org/W7204117209","https://openalex.org/W4406261375"],"abstract_inverted_index":{"The":[0],"optimization":[1],"of":[2,11,26,37,84,93,101,110],"queries":[3],"speeds":[4],"up":[5],"query":[6,17],"processing":[7,18,49],"in":[8,16,33],"databases.":[9],"One":[10],"the":[12,20,24,27,35,47,85,105],"most":[13],"time-consuming":[14],"tasks":[15],"is":[19],"join":[21,72,78,86],"operation,":[22],"where":[23],"order":[25,87],"joins":[28,103],"plays":[29],"a":[30,56,63,90,113],"crucial":[31],"role":[32],"determining":[34],"number":[36,92],"tuples":[38],"to":[39,61,69],"be":[40],"processed":[41],"for":[42],"intermediate":[43],"results,":[44],"and":[45],"hence,":[46],"overall":[48],"costs.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"use":[55],"variational":[57],"quantum":[58],"circuit":[59],"(VQC)":[60],"create":[62],"hybrid":[64],"classical-quantum":[65],"machine":[66],"learning":[67,75],"algorithm":[68],"predict":[70],"efficient":[71],"orders":[73],"by":[74],"from":[76],"past":[77],"orders.":[79],"We":[80,95],"develop":[81],"an":[82],"encoding":[83],"problem":[88],"using":[89],"low":[91],"qubits.":[94],"show":[96],"that":[97],"VQCs":[98],"with":[99,112],"filtering":[100],"cross":[102],"outperform":[104],"classical":[106],"dynamic":[107],"programming":[108],"optimizer":[109],"PostgreSQL":[111],"2.7%":[114],"faster":[115],"execution":[116],"time.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":3}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2023-06-13T00:00:00"}
