{"id":"https://openalex.org/W2785426881","doi":"https://doi.org/10.1109/glocomw.2017.8269076","title":"Quantum Pattern Recognition for Local Sequence Alignment","display_name":"Quantum Pattern Recognition for Local Sequence Alignment","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2785426881","doi":"https://doi.org/10.1109/glocomw.2017.8269076","mag":"2785426881"},"language":"en","primary_location":{"id":"doi:10.1109/glocomw.2017.8269076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocomw.2017.8269076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Globecom Workshops (GC Wkshps)","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/A5082833695","display_name":"Konstantinos Prousalis","orcid":"https://orcid.org/0000-0002-6810-1719"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantinos Prousalis","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087517264","display_name":"N. Konofaos","orcid":"https://orcid.org/0000-0003-2949-1184"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikos Konofaos","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2065,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67187105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9988999962806702,"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":0.9988999962806702,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10020","display_name":"Quantum Information and Cryptography","score":0.9763000011444092,"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/sequence","display_name":"Sequence (biology)","score":0.6664488315582275},{"id":"https://openalex.org/keywords/smith\u2013waterman-algorithm","display_name":"Smith\u2013Waterman algorithm","score":0.6476325988769531},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.6226457953453064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.610497236251831},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.5869520306587219},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5566502213478088},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.536867082118988},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4514929950237274},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4481849670410156},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3575730323791504},{"id":"https://openalex.org/keywords/sequence-alignment","display_name":"Sequence alignment","score":0.35345107316970825},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2322390377521515},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14527395367622375},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.08982989192008972},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.08959686756134033}],"concepts":[{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6664488315582275},{"id":"https://openalex.org/C72802188","wikidata":"https://www.wikidata.org/wiki/Q1683352","display_name":"Smith\u2013Waterman algorithm","level":5,"score":0.6476325988769531},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.6226457953453064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.610497236251831},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5869520306587219},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5566502213478088},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.536867082118988},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4514929950237274},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4481849670410156},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3575730323791504},{"id":"https://openalex.org/C45484198","wikidata":"https://www.wikidata.org/wiki/Q827246","display_name":"Sequence alignment","level":4,"score":0.35345107316970825},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2322390377521515},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14527395367622375},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.08982989192008972},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.08959686756134033},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C167625842","wikidata":"https://www.wikidata.org/wiki/Q899763","display_name":"Peptide sequence","level":3,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocomw.2017.8269076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocomw.2017.8269076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Globecom Workshops (GC Wkshps)","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":16,"referenced_works":["https://openalex.org/W1485920032","https://openalex.org/W1631356911","https://openalex.org/W1967186285","https://openalex.org/W1975768982","https://openalex.org/W1983265703","https://openalex.org/W2015915218","https://openalex.org/W2029195137","https://openalex.org/W2038713182","https://openalex.org/W2055043387","https://openalex.org/W2068448872","https://openalex.org/W2074231493","https://openalex.org/W2087064593","https://openalex.org/W2108215151","https://openalex.org/W2156190205","https://openalex.org/W2764347725","https://openalex.org/W4236236547"],"related_works":["https://openalex.org/W2948014085","https://openalex.org/W2004215917","https://openalex.org/W2103737249","https://openalex.org/W1974956921","https://openalex.org/W2139695554","https://openalex.org/W1972247471","https://openalex.org/W1486249959","https://openalex.org/W2166325055","https://openalex.org/W2885386129","https://openalex.org/W2089499735"],"abstract_inverted_index":{"Over":[0],"the":[1,12,47,53,72,98,101,122],"last":[2],"two":[3],"decades,":[4],"there":[5],"have":[6],"been":[7],"some":[8],"challenging":[9],"proposals":[10],"on":[11,82],"field":[13],"of":[14,19,24,32,38,57,63,100,124],"pattern":[15,85],"recognition":[16,86],"by":[17,71,108],"means":[18],"quantum":[20,73,87,131],"technology.":[21],"The":[22,61,77,129],"application":[23],"them":[25],"is":[26,50,80,95,106,119],"considered":[27],"for":[28,41],"a":[29,125],"popular":[30],"branch":[31],"bioinformatics":[33],"which":[34,105],"analyzes":[35],"massive":[36],"amounts":[37],"sequence":[39,59],"data":[40,93],"genes":[42],"and":[43,69,91,114],"proteins.":[44],"More":[45],"specific,":[46],"Smith-Waterman":[48],"algorithm":[49,65,111,132],"studied":[51],"under":[52,103],"more":[54],"general":[55],"term":[56],"local":[58],"alignment.":[60],"steps":[62],"this":[64],"are":[66],"totally":[67],"reformed":[68],"powered":[70],"mechanics":[74],"computing":[75],"theory.":[76],"proposed":[78],"method":[79],"based":[81],"R.":[83,109],"Sch\u00fctzhold's":[84,110],"algorithm.":[88],"A":[89],"binary":[90],"unstructured":[92],"set":[94],"formed":[96],"after":[97],"comparison":[99,138],"sequences":[102],"alignment":[104],"used":[107],"to":[112],"identify":[113],"locate":[115],"potential":[116],"patterns.":[117],"It":[118],"achieved":[120],"with":[121,139],"aid":[123],"spatial":[126],"light":[127],"modulator.":[128],"adopted":[130],"exhibits":[133],"an":[134],"exponential":[135],"speed-up":[136],"in":[137],"its":[140],"classical":[141],"counterparts.":[142]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}