{"id":"https://openalex.org/W3021671623","doi":"https://doi.org/10.1145/3384544.3384576","title":"A Hybrid \"Quantum and Classical\" Method for Outlier Detection","display_name":"A Hybrid \"Quantum and Classical\" Method for Outlier Detection","publication_year":2020,"publication_date":"2020-02-18","ids":{"openalex":"https://openalex.org/W3021671623","doi":"https://doi.org/10.1145/3384544.3384576","mag":"3021671623"},"language":"en","primary_location":{"id":"doi:10.1145/3384544.3384576","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3384544.3384576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 9th International Conference on Software and Computer Applications","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/A5020023348","display_name":"Rabah Mazouzi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rabah Mazouzi","raw_affiliation_strings":["Umanis, Rue Paul Vaillant Couturier, Levallois-Perret, France"],"affiliations":[{"raw_affiliation_string":"Umanis, Rue Paul Vaillant Couturier, Levallois-Perret, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014296308","display_name":"Philippe Harel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Philippe Harel","raw_affiliation_strings":["Umanis, Rue Paul Vaillant Couturier, Levallois-Perret, France"],"affiliations":[{"raw_affiliation_string":"Umanis, Rue Paul Vaillant Couturier, Levallois-Perret, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020023348"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52007055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T10876","display_name":"Fault Detection and Control Systems","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7185261249542236},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.6944007873535156},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6623772978782654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6549943089485168},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.5817990303039551},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5382604002952576},{"id":"https://openalex.org/keywords/quantum-algorithm","display_name":"Quantum algorithm","score":0.5185607075691223},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5179077982902527},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.477168470621109},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3255341649055481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25643429160118103},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.07282844185829163},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0719955563545227}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7185261249542236},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.6944007873535156},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6623772978782654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6549943089485168},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5817990303039551},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5382604002952576},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.5185607075691223},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5179077982902527},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.477168470621109},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3255341649055481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25643429160118103},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.07282844185829163},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0719955563545227},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3384544.3384576","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3384544.3384576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 9th International Conference on Software and Computer Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W32507011","https://openalex.org/W199424061","https://openalex.org/W1485920032","https://openalex.org/W1647106508","https://openalex.org/W1797962601","https://openalex.org/W1973551954","https://openalex.org/W1981783889","https://openalex.org/W1995443851","https://openalex.org/W2015811642","https://openalex.org/W2059659103","https://openalex.org/W2085426595","https://openalex.org/W2122646361","https://openalex.org/W2142537581","https://openalex.org/W2144182447","https://openalex.org/W2153887174","https://openalex.org/W2179731956","https://openalex.org/W2296719434","https://openalex.org/W2523635132","https://openalex.org/W2549789276","https://openalex.org/W2559394418","https://openalex.org/W2798170028","https://openalex.org/W2990423416","https://openalex.org/W3104599990","https://openalex.org/W6633219372","https://openalex.org/W6645764243","https://openalex.org/W6966675931"],"related_works":["https://openalex.org/W2409877639","https://openalex.org/W4388704119","https://openalex.org/W2910123824","https://openalex.org/W4213379151","https://openalex.org/W3206120658","https://openalex.org/W2911278742","https://openalex.org/W1889203613","https://openalex.org/W4281550036","https://openalex.org/W2181040799","https://openalex.org/W2035510778"],"abstract_inverted_index":{"In":[0],"this":[1,117],"paper,":[2,118],"we":[3,119],"present":[4,120],"a":[5,13,109,127,131],"novel":[6],"method":[7,24,74,125],"for":[8,41],"outlier":[9,101,144],"detection":[10],"based":[11,76],"on":[12,77],"hybrid":[14],"approach":[15],"involving":[16,45],"both":[17],"quantum":[18,46,56,61],"and":[19,38,66,89,126],"classical":[20,34,141],"computing.":[21,47],"The":[22,30,48,72,94],"proposed":[23,73],"proceeds":[25],"according":[26],"to":[27,86,140],"two":[28],"steps:":[29],"first":[31],"step":[32,44],"uses":[33,50],"computing":[35],"by":[36],"preparing":[37],"initializing":[39],"components":[40],"the":[42,60,67,78,81,84,103,114,124],"second":[43],"latter":[49],"adapted":[51],"versions":[52],"of":[53,63,70,80,116,123,136,143],"some":[54],"well-referenced":[55],"algorithms":[57],"such":[58],"as":[59],"calculation":[62,79],"Hamming":[64],"distance,":[65],"minimum":[68],"finding":[69],"Durr-Hoyer.":[71],"is":[75,97,106],"distance":[82,105],"between":[83],"instance":[85,96],"be":[87],"tested":[88],"its":[90],"Kth":[91],"nearest":[92],"neighbor.":[93],"test":[95],"thus":[98],"considered":[99],"an":[100,121],"if":[102],"calculated":[104],"greater":[107],"than":[108],"given":[110],"threshold":[111],"T.":[112],"At":[113],"end":[115],"experimentation":[122],"performance":[128],"analysis":[129],"showing":[130],"quadratic":[132],"improvement":[133],"in":[134],"terms":[135],"computational":[137],"complexity":[138],"compared":[139],"methods":[142],"detection.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
