{"id":"https://openalex.org/W4401164249","doi":"https://doi.org/10.1109/eit60633.2024.10609949","title":"Simplifying Quantum Multi-class Classification for the NISQ Era Using Error-Code Output Correction","display_name":"Simplifying Quantum Multi-class Classification for the NISQ Era Using Error-Code Output Correction","publication_year":2024,"publication_date":"2024-05-30","ids":{"openalex":"https://openalex.org/W4401164249","doi":"https://doi.org/10.1109/eit60633.2024.10609949"},"language":"en","primary_location":{"id":"doi:10.1109/eit60633.2024.10609949","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/eit60633.2024.10609949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Electro Information Technology (eIT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5105965442","display_name":"Eric Zielinski","orcid":null},"institutions":[{"id":"https://openalex.org/I4657992","display_name":"University of Wisconsin\u2013La Crosse","ror":"https://ror.org/00x8ccz20","country_code":"US","type":"education","lineage":["https://openalex.org/I4657992"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Zielinski","raw_affiliation_strings":["University of Wisconsin,Department of Computer Science & Computer Engineering,La Crosse,WI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin,Department of Computer Science & Computer Engineering,La Crosse,WI","institution_ids":["https://openalex.org/I4657992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016702353","display_name":"Dipankar Mitra","orcid":"https://orcid.org/0000-0001-9405-5819"},"institutions":[{"id":"https://openalex.org/I4657992","display_name":"University of Wisconsin\u2013La Crosse","ror":"https://ror.org/00x8ccz20","country_code":"US","type":"education","lineage":["https://openalex.org/I4657992"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dipankar Mitra","raw_affiliation_strings":["University of Wisconsin,Department of Computer Science & Computer Engineering,La Crosse,WI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin,Department of Computer Science & Computer Engineering,La Crosse,WI","institution_ids":["https://openalex.org/I4657992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4657992"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10946943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"017","last_page":"022"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10020","display_name":"Quantum Information and Cryptography","score":0.8400999903678894,"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/T10020","display_name":"Quantum Information and Cryptography","score":0.8400999903678894,"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/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.7537000179290771,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.7479000091552734,"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/computer-science","display_name":"Computer science","score":0.7402656674385071},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.7068121433258057},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5527752637863159},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.4742625951766968},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44245392084121704},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.43884390592575073},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42094895243644714},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.31598907709121704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22353282570838928}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7402656674385071},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.7068121433258057},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5527752637863159},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.4742625951766968},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44245392084121704},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.43884390592575073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42094895243644714},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.31598907709121704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22353282570838928},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eit60633.2024.10609949","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/eit60633.2024.10609949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Electro Information Technology (eIT)","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":23,"referenced_works":["https://openalex.org/W2004988719","https://openalex.org/W2026592740","https://openalex.org/W2043646456","https://openalex.org/W2111084110","https://openalex.org/W2610709310","https://openalex.org/W2794602324","https://openalex.org/W2796293949","https://openalex.org/W2797105324","https://openalex.org/W2885114661","https://openalex.org/W2887925010","https://openalex.org/W2951680627","https://openalex.org/W2955261725","https://openalex.org/W3098662938","https://openalex.org/W3100993774","https://openalex.org/W3137120888","https://openalex.org/W3168508484","https://openalex.org/W4200634434","https://openalex.org/W4220710689","https://openalex.org/W4247666820","https://openalex.org/W4283800453","https://openalex.org/W4309713817","https://openalex.org/W6765925142","https://openalex.org/W6805310409"],"related_works":["https://openalex.org/W2115140794","https://openalex.org/W2041120224","https://openalex.org/W1504320321","https://openalex.org/W2067902980","https://openalex.org/W2548529098","https://openalex.org/W4231937131","https://openalex.org/W4312275919","https://openalex.org/W323219885","https://openalex.org/W2063928587","https://openalex.org/W2056396287"],"abstract_inverted_index":{"Within":[0],"the":[1,26,65,106,118,126,132],"rapidly":[2],"evolving":[3],"realms":[4],"of":[5,29,85,108],"artificial":[6],"intelligence":[7],"and":[8,56,77,95,110,123],"machine":[9],"learning,":[10],"quantum":[11,30,66],"computing":[12],"has":[13],"emerged":[14],"as":[15],"a":[16,57,83],"pivotal":[17],"frontier.":[18],"However,":[19],"its":[20],"progress":[21],"is":[22],"significantly":[23],"hindered":[24],"by":[25],"prevailing":[27],"limitations":[28],"hardware.":[31],"This":[32],"paper":[33],"introduces":[34],"an":[35],"innovative":[36],"quantum-classical":[37],"hybrid":[38],"algorithm,":[39],"intricately":[40],"designed":[41],"for":[42,70,121],"multi-class":[43],"classification.":[44],"The":[45],"algorithm":[46,127],"prioritizes":[47],"memory":[48],"efficiency,":[49],"capitalizing":[50],"on":[51],"advanced":[52],"amplitude":[53],"encoding":[54],"techniques":[55],"specialized":[58],"error-code":[59],"output":[60],"correction":[61],"mechanism":[62],"to":[63],"reduce":[64],"computational":[67],"resources":[68],"needed":[69],"data":[71,96],"processing":[72],"while":[73],"maintaining":[74],"exceptional":[75],"speed":[76],"classification":[78],"accuracy.":[79],"Rigorous":[80],"testing":[81],"across":[82],"range":[84],"datasets,":[86],"varying":[87],"in":[88,102,131],"complexities":[89],"like":[90],"feature":[91],"count,":[92],"class":[93],"number,":[94],"points,":[97],"yields":[98],"notable":[99],"achievements,":[100],"particularly":[101],"simpler":[103],"datasets.":[104],"Nevertheless,":[105],"presence":[107],"errors":[109],"occasional":[111],"failures":[112],"with":[113],"more":[114],"complex":[115],"datasets":[116],"highlights":[117],"ongoing":[119],"need":[120],"refinement":[122],"optimization,":[124],"positioning":[125],"toward":[128],"practical":[129],"applicability":[130],"field.":[133]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}