{"id":"https://openalex.org/W4402602285","doi":"https://doi.org/10.1007/s42484-024-00197-6","title":"The role of encodings and distance metrics for the quantum nearest neighbor","display_name":"The role of encodings and distance metrics for the quantum nearest neighbor","publication_year":2024,"publication_date":"2024-09-17","ids":{"openalex":"https://openalex.org/W4402602285","doi":"https://doi.org/10.1007/s42484-024-00197-6"},"language":"en","primary_location":{"id":"doi:10.1007/s42484-024-00197-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42484-024-00197-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42484-024-00197-6.pdf","source":{"id":"https://openalex.org/S4210217596","display_name":"Quantum Machine Intelligence","issn_l":"2524-4906","issn":["2524-4906","2524-4914"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quantum Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42484-024-00197-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101506718","display_name":"Alessandro Berti","orcid":"https://orcid.org/0000-0001-9144-9572"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alessandro Berti","raw_affiliation_strings":["Department of Computer Science, University of Pisa, Largo B. Pontecorvo, Pisa, 56127, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Largo B. Pontecorvo, Pisa, 56127, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032558381","display_name":"Anna Bernasconi","orcid":"https://orcid.org/0000-0003-0263-5221"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Anna Bernasconi","raw_affiliation_strings":["Department of Computer Science, University of Pisa, Largo B. Pontecorvo, Pisa, 56127, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Largo B. Pontecorvo, Pisa, 56127, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044619255","display_name":"Gianna M. Del Corso","orcid":"https://orcid.org/0000-0002-5651-9368"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianna M. Del Corso","raw_affiliation_strings":["Department of Computer Science, University of Pisa, Largo B. Pontecorvo, Pisa, 56127, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Largo B. Pontecorvo, Pisa, 56127, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091251187","display_name":"Riccardo Guidotti","orcid":"https://orcid.org/0000-0002-2827-7613"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Riccardo Guidotti","raw_affiliation_strings":["Department of Computer Science, University of Pisa, Largo B. Pontecorvo, Pisa, 56127, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Largo B. Pontecorvo, Pisa, 56127, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101506718"],"corresponding_institution_ids":["https://openalex.org/I108290504"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":2.5175,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90775301,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"6","issue":"2","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":0.9997000098228455,"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":0.9997000098228455,"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/T10020","display_name":"Quantum Information and Cryptography","score":0.9994000196456909,"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/T10622","display_name":"Quantum Mechanics and Applications","score":0.9891999959945679,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.7053663730621338},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.5127533674240112},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.4794827401638031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4099290370941162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2724536657333374},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.26645106077194214},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.1641836166381836}],"concepts":[{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.7053663730621338},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5127533674240112},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.4794827401638031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4099290370941162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2724536657333374},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.26645106077194214},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.1641836166381836}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s42484-024-00197-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42484-024-00197-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42484-024-00197-6.pdf","source":{"id":"https://openalex.org/S4210217596","display_name":"Quantum Machine Intelligence","issn_l":"2524-4906","issn":["2524-4906","2524-4914"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quantum Machine Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1267828","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1267828","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s42484-024-00197-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42484-024-00197-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42484-024-00197-6.pdf","source":{"id":"https://openalex.org/S4210217596","display_name":"Quantum Machine Intelligence","issn_l":"2524-4906","issn":["2524-4906","2524-4914"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quantum Machine Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2020143847","display_name":null,"funder_award_id":"E53C22001930001","funder_id":"https://openalex.org/F4320334079","funder_display_name":"Gruppo Nazionale per il Calcolo Scientifico"}],"funders":[{"id":"https://openalex.org/F4320334079","display_name":"Gruppo Nazionale per il Calcolo Scientifico","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402602285.pdf","grobid_xml":"https://content.openalex.org/works/W4402602285.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1678889691","https://openalex.org/W2000465731","https://openalex.org/W2046761109","https://openalex.org/W2051446825","https://openalex.org/W2055784634","https://openalex.org/W2072498431","https://openalex.org/W2080922998","https://openalex.org/W2104590612","https://openalex.org/W2121981260","https://openalex.org/W2129281431","https://openalex.org/W2142537581","https://openalex.org/W2482589566","https://openalex.org/W2749353276","https://openalex.org/W2751668559","https://openalex.org/W2887925010","https://openalex.org/W2888774813","https://openalex.org/W2909240409","https://openalex.org/W3047378565","https://openalex.org/W3094011464","https://openalex.org/W3098965398","https://openalex.org/W3132927810","https://openalex.org/W3135279508","https://openalex.org/W4213009331","https://openalex.org/W4285275558","https://openalex.org/W4300601563","https://openalex.org/W4386220353","https://openalex.org/W4386815351","https://openalex.org/W6631188861"],"related_works":["https://openalex.org/W2148008870","https://openalex.org/W2381195555","https://openalex.org/W2368606575","https://openalex.org/W4246757943","https://openalex.org/W2132753198","https://openalex.org/W2369874856","https://openalex.org/W2182477562","https://openalex.org/W2792185758","https://openalex.org/W2787484455","https://openalex.org/W2119808169"],"abstract_inverted_index":{"Abstract":[0],"Over":[1],"the":[2,25,33,44,74,102,106,139,145,159],"past":[3],"few":[4],"years,":[5],"we":[6,67,82,124,137],"observed":[7],"a":[8,16],"rethinking":[9],"of":[10,28,46,73,93,99,105,148],"classical":[11,47,51,160],"artificial":[12,37],"intelligence":[13,38],"algorithms":[14,52],"from":[15,131],"quantum":[17,29,55,75,122,149],"computing":[18],"perspective.":[19],"This":[20],"trend":[21],"is":[22,57],"driven":[23],"by":[24],"peculiar":[26],"properties":[27],"mechanics,":[30],"which":[31,109],"offer":[32],"potential":[34],"to":[35,42,134,158],"enhance":[36],"capabilities,":[39],"enabling":[40],"it":[41],"surpass":[43],"constraints":[45],"computing.":[48],"However,":[49],"redesigning":[50],"into":[53],"their":[54,152],"equivalents":[56],"not":[58],"straightforward":[59],"and":[60,90,114,126,151],"poses":[61],"numerous":[62],"challenges.":[63],"In":[64,80],"this":[65],"study,":[66],"analyze":[68],"in-depth":[69],"two":[70,84,97],"orthogonal":[71],"designs":[72],"K":[76],"-nearest":[77],"neighbor":[78],"classifier.":[79],"particular,":[81],"show":[83,115],"solutions":[85],"based":[86],"on":[87,154],"amplitude":[88],"encoding":[89,92,100],"basis":[91],"data,":[94],"respectively.":[95],"These":[96],"types":[98],"impact":[101,153],"overall":[103],"structure":[104],"respective":[107],"algorithms,":[108,150],"employ":[110],"different":[111,116],"distance":[112],"metrics":[113],"performances.":[117],"By":[118],"breaking":[119],"down":[120],"each":[121],"algorithm,":[123],"clarify":[125],"compare":[127],"implementation":[128],"aspects":[129],"ranging":[130],"data":[132,143],"preparation":[133],"classification.":[135],"Eventually,":[136],"discuss":[138],"difficulties":[140],"associated":[141],"with":[142,156],"preparation,":[144],"theoretical":[146],"advantage":[147],"performance":[155],"respect":[157],"counterpart.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}