{"id":"https://openalex.org/W2885752448","doi":"https://doi.org/10.1109/isit.2018.8437348","title":"Error Exponents and Strong Converse Exponents for Classical Data Compression with Quantum Side Information","display_name":"Error Exponents and Strong Converse Exponents for Classical Data Compression with Quantum Side Information","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2885752448","doi":"https://doi.org/10.1109/isit.2018.8437348","mag":"2885752448"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2018.8437348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2018.8437348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Information Theory (ISIT)","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/A5048882236","display_name":"Hao\u2013Chung Cheng","orcid":"https://orcid.org/0000-0003-4499-4679"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Hao-Chung Cheng","raw_affiliation_strings":["University of Technology, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081063084","display_name":"Eric P. Hanson","orcid":"https://orcid.org/0000-0002-4675-4348"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eric P. Hanson","raw_affiliation_strings":["Univ. Paris-Sud, France"],"affiliations":[{"raw_affiliation_string":"Univ. Paris-Sud, France","institution_ids":["https://openalex.org/I102197404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108075277","display_name":"Nilanjana Datta","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nilanjana Datta","raw_affiliation_strings":["Cambridge University, UK"],"affiliations":[{"raw_affiliation_string":"Cambridge University, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083737500","display_name":"Min-Hsiu Hsieh","orcid":"https://orcid.org/0000-0002-3396-8427"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Min-Hsiu Hsieh","raw_affiliation_strings":["University of Technology, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048882236"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":0.1308,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48335688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"2162","last_page":"2166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9990000128746033,"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/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12162","display_name":"Cellular Automata and Applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/mathematics","display_name":"Mathematics","score":0.6413984298706055},{"id":"https://openalex.org/keywords/large-deviations-theory","display_name":"Large deviations theory","score":0.5581014156341553},{"id":"https://openalex.org/keywords/converse","display_name":"Converse","score":0.5370619893074036},{"id":"https://openalex.org/keywords/rate-function","display_name":"Rate function","score":0.511989414691925},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.47877347469329834},{"id":"https://openalex.org/keywords/exponent","display_name":"Exponent","score":0.47589337825775146},{"id":"https://openalex.org/keywords/converse-theorem","display_name":"Converse theorem","score":0.4152730107307434},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3576242923736572},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.264557421207428},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16184401512145996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.10458850860595703}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6413984298706055},{"id":"https://openalex.org/C75438885","wikidata":"https://www.wikidata.org/wiki/Q3403615","display_name":"Large deviations theory","level":2,"score":0.5581014156341553},{"id":"https://openalex.org/C2776809875","wikidata":"https://www.wikidata.org/wiki/Q1375963","display_name":"Converse","level":2,"score":0.5370619893074036},{"id":"https://openalex.org/C15964574","wikidata":"https://www.wikidata.org/wiki/Q7295534","display_name":"Rate function","level":3,"score":0.511989414691925},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.47877347469329834},{"id":"https://openalex.org/C2780388253","wikidata":"https://www.wikidata.org/wiki/Q5421508","display_name":"Exponent","level":2,"score":0.47589337825775146},{"id":"https://openalex.org/C204591131","wikidata":"https://www.wikidata.org/wiki/Q5166461","display_name":"Converse theorem","level":3,"score":0.4152730107307434},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3576242923736572},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.264557421207428},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16184401512145996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.10458850860595703},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C132817261","wikidata":"https://www.wikidata.org/wiki/Q1134435","display_name":"Automorphic form","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit.2018.8437348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2018.8437348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/134184","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/134184","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1549664537","https://openalex.org/W1776233866","https://openalex.org/W1970369586","https://openalex.org/W1990187371","https://openalex.org/W1995875735","https://openalex.org/W2000270505","https://openalex.org/W2004863950","https://openalex.org/W2008072582","https://openalex.org/W2017379196","https://openalex.org/W2037670238","https://openalex.org/W2039030058","https://openalex.org/W2057756383","https://openalex.org/W2060099520","https://openalex.org/W2084360170","https://openalex.org/W2088587246","https://openalex.org/W2099213070","https://openalex.org/W2101844150","https://openalex.org/W2102440906","https://openalex.org/W2108670821","https://openalex.org/W2110238675","https://openalex.org/W2122166994","https://openalex.org/W2127768309","https://openalex.org/W2154193570","https://openalex.org/W2155676967","https://openalex.org/W2168792807","https://openalex.org/W2263335765","https://openalex.org/W2699916509","https://openalex.org/W2758224462","https://openalex.org/W2791848241","https://openalex.org/W2950067144","https://openalex.org/W2952297488","https://openalex.org/W2962760265","https://openalex.org/W2963818496","https://openalex.org/W2963902611","https://openalex.org/W3098108619","https://openalex.org/W3100955123","https://openalex.org/W3101293504","https://openalex.org/W3101663526","https://openalex.org/W3101953664","https://openalex.org/W3102523625","https://openalex.org/W3102928882","https://openalex.org/W3103249741","https://openalex.org/W3103695971","https://openalex.org/W3103744872","https://openalex.org/W3104789413","https://openalex.org/W4302366875"],"related_works":["https://openalex.org/W2144181412","https://openalex.org/W3033882599","https://openalex.org/W2136333882","https://openalex.org/W2342098551","https://openalex.org/W2990876408","https://openalex.org/W2975771407","https://openalex.org/W1986206926","https://openalex.org/W2910215732","https://openalex.org/W1984199859","https://openalex.org/W2973021486"],"abstract_inverted_index":{"In":[0,28,52,154],"this":[1,95,110,139,197,244],"paper,":[2],"we":[3,63,199],"analyze":[4],"classical":[5,36],"data":[6,91,189],"compression":[7,58,92,161,190],"with":[8,45,106],"quantum":[9,49],"side":[10,50],"information":[11,222],"(also":[12],"known":[13],"as":[14,78],"the":[15,21,29,32,46,53,57,67,73,82,89,112,128,155,160,163,178,187,201,206,220,238],"classical-quantum":[16],"Slepian-":[17],"Wolf":[18],"protocol)":[19],"in":[20,217,234],"so-called":[22,239],"large":[23,54],"and":[24,42,62,85,120,141,211,232],"moderate":[25,156],"deviation":[26,55,157,241],"regimes.":[27],"non-asymptotic":[30],"setting,":[31],"protocol":[33,96,105],"involves":[34],"compressing":[35],"sequences":[37],"of":[38,48,76,81,114,123,203,205,219,243],"finite":[39,135],"length":[40],"n":[41],"decoding":[43],"them":[44],"assistance":[47],"information.":[51],"regime,":[56],"rate":[59,108,195],"is":[60,97,125,165,173,215],"fixed,":[61],"obtain":[64,134],"bounds":[65,137],"on":[66,138,149,177],"error":[68,77,115,207],"exponent":[69,131],"function,":[70,140],"which":[71,235],"characterizes":[72],"minimal":[74],"probability":[75,113,208],"a":[79,100,107,194],"function":[80],"rate.":[83],"Devetak":[84],"Winter":[86],"showed":[87],"that":[88,213],"asymptotic":[90,145,188],"limit":[93],"for":[94,159],"given":[98,126,216],"by":[99,127,152,230],"conditional":[101,221],"entropy.":[102],"For":[103],"any":[104],"below":[109],"quantity,":[111],"converges":[116],"to":[117,169,175,183,186,209],"one":[118],"asymptotically":[119],"its":[121,144],"speed":[122,202],"convergence":[124,204],"strong":[129],"converse":[130],"function.":[132],"We":[133],"blocklength":[136,179],"determine":[142,200],"exactly":[143],"value,":[146],"thus":[147],"improving":[148],"previous":[150],"results":[151,225,228],"Tomamichel.":[153],"regime":[158,242],"rate,":[162],"latter":[164],"no":[166],"longer":[167],"considered":[168],"be":[170],"fixed.":[171],"It":[172],"allowed":[174],"depend":[176],"n,":[180],"but":[181],"assumed":[182],"decay":[184],"slowly":[185],"limit.":[191],"Starting":[192],"from":[193],"above":[196],"limit,":[198],"zero":[210],"show":[212],"it":[214],"terms":[218],"variance.":[223],"Our":[224],"complement":[226],"earlier":[227],"obtained":[229],"Tomamichel":[231],"Hayashi,":[233],"they":[236],"analyzed":[237],"small":[240],"protocol.":[245]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}