{"id":"https://openalex.org/W2020312327","doi":"https://doi.org/10.1145/2554797.2554816","title":"Adversarial hypothesis testing and a quantum stein's lemma for restricted measurements","display_name":"Adversarial hypothesis testing and a quantum stein's lemma for restricted measurements","publication_year":2014,"publication_date":"2014-01-12","ids":{"openalex":"https://openalex.org/W2020312327","doi":"https://doi.org/10.1145/2554797.2554816","mag":"2020312327"},"language":"en","primary_location":{"id":"doi:10.1145/2554797.2554816","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2554797.2554816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th conference on Innovations in theoretical computer science","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1308.6702","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030940558","display_name":"Fernando G. S. L. Brand\u00e3o","orcid":"https://orcid.org/0000-0003-3866-9378"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fernando G.S.L. Brand\u00e3o","raw_affiliation_strings":["University College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008766821","display_name":"Aram W. Harrow","orcid":"https://orcid.org/0000-0003-3220-7682"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aram W. Harrow","raw_affiliation_strings":["Massachusettes Institute of Technology, Cambridge, MA, USA","Massachusettes Institute of Technology,, CAMBRIDGE, MA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusettes Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusettes Institute of Technology,, CAMBRIDGE, MA, USA#TAB#","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028879014","display_name":"James R. Lee","orcid":"https://orcid.org/0000-0002-3512-1617"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James R. Lee","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020836845","display_name":"Yuval Peres","orcid":"https://orcid.org/0000-0001-5456-6323"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuval Peres","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2687,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84792881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"183","last_page":"194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.996999979019165,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.996999979019165,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lemma","display_name":"Lemma (botany)","score":0.6949162483215332},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6167458295822144},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.5909844040870667},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5061432719230652},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.49560797214508057},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.47835367918014526},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.47536414861679077},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47343018651008606},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.46489042043685913},{"id":"https://openalex.org/keywords/exponential-family","display_name":"Exponential family","score":0.45493966341018677},{"id":"https://openalex.org/keywords/exponential-distribution","display_name":"Exponential distribution","score":0.44114983081817627},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4325244724750519},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4247416853904724},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4242859482765198},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3563464879989624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.21470960974693298},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.15870270133018494}],"concepts":[{"id":"https://openalex.org/C2777759810","wikidata":"https://www.wikidata.org/wiki/Q149316","display_name":"Lemma (botany)","level":3,"score":0.6949162483215332},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6167458295822144},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.5909844040870667},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5061432719230652},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.49560797214508057},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.47835367918014526},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.47536414861679077},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47343018651008606},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.46489042043685913},{"id":"https://openalex.org/C55974624","wikidata":"https://www.wikidata.org/wiki/Q1188504","display_name":"Exponential family","level":2,"score":0.45493966341018677},{"id":"https://openalex.org/C55350006","wikidata":"https://www.wikidata.org/wiki/Q237193","display_name":"Exponential distribution","level":2,"score":0.44114983081817627},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4325244724750519},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4247416853904724},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4242859482765198},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3563464879989624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.21470960974693298},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.15870270133018494},{"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"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/C46757340","wikidata":"https://www.wikidata.org/wiki/Q43238","display_name":"Poaceae","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1145/2554797.2554816","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2554797.2554816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th conference on Innovations in theoretical computer science","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1308.6702","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1308.6702","pdf_url":"https://arxiv.org/pdf/1308.6702","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3083475315","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1308.6702.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:authors.library.caltech.edu:104653","is_oa":false,"landing_page_url":"https://resolver.caltech.edu/CaltechAUTHORS:20200730-074813402","pdf_url":null,"source":{"id":"https://openalex.org/S4306402161","display_name":"CaltechAUTHORS (California Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122411786","host_organization_name":"California Institute of Technology","host_organization_lineage":["https://openalex.org/I122411786"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Section"},{"id":"pmh:oai:dspace.mit.edu:1721.1/132520","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/132520","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv","raw_type":"Article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/132520.2","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/132520.2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv","raw_type":"http://purl.org/eprint/type/JournalArticle"},{"id":"pmh:oai:dspace.mit.edu:1721.1/88449","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/88449","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1308.6702","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1308.6702","pdf_url":"https://arxiv.org/pdf/1308.6702","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G3526905292","display_name":null,"funder_award_id":"EP/J017280/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7134875428","display_name":null,"funder_award_id":"EP/J017280/2","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W97804186","https://openalex.org/W245337057","https://openalex.org/W978287537","https://openalex.org/W1631356911","https://openalex.org/W1954719163","https://openalex.org/W1954834360","https://openalex.org/W1963925013","https://openalex.org/W1968087916","https://openalex.org/W1968165454","https://openalex.org/W1970302872","https://openalex.org/W1985077192","https://openalex.org/W1989338245","https://openalex.org/W1992074575","https://openalex.org/W2012145517","https://openalex.org/W2016990905","https://openalex.org/W2025236523","https://openalex.org/W2028932986","https://openalex.org/W2031623555","https://openalex.org/W2033879010","https://openalex.org/W2034249719","https://openalex.org/W2042134536","https://openalex.org/W2042587503","https://openalex.org/W2048680711","https://openalex.org/W2059260201","https://openalex.org/W2067204178","https://openalex.org/W2075396368","https://openalex.org/W2079550971","https://openalex.org/W2084019889","https://openalex.org/W2091240287","https://openalex.org/W2099111195","https://openalex.org/W2105918132","https://openalex.org/W2109437253","https://openalex.org/W2120279831","https://openalex.org/W2126178628","https://openalex.org/W2138689422","https://openalex.org/W2169466214","https://openalex.org/W2764347725","https://openalex.org/W2772681406","https://openalex.org/W2962963071","https://openalex.org/W2964017267","https://openalex.org/W3037256833","https://openalex.org/W3098084575","https://openalex.org/W3099879538","https://openalex.org/W3103101214","https://openalex.org/W3105390789","https://openalex.org/W3105797814","https://openalex.org/W3106029816","https://openalex.org/W3148774511","https://openalex.org/W4206483639","https://openalex.org/W4297779148","https://openalex.org/W4300059303","https://openalex.org/W6654472681","https://openalex.org/W6663017218","https://openalex.org/W6770759485"],"related_works":["https://openalex.org/W2083403941","https://openalex.org/W1983387634","https://openalex.org/W3104458475","https://openalex.org/W3123919776","https://openalex.org/W3134831418","https://openalex.org/W3081701155","https://openalex.org/W1536472066","https://openalex.org/W4299532969","https://openalex.org/W1989848373","https://openalex.org/W3125578815"],"abstract_inverted_index":{"Recall":[0],"the":[1,42,50,78],"classical":[2],"hypothesis":[3],"testing":[4],"setting":[5],"with":[6],"two":[7],"convex":[8],"sets":[9,79],"of":[10],"probability":[11],"distributions":[12],"P":[13,27,80],"and":[14,35,81],"Q.":[15,82],"One":[16],"receives":[17],"either":[18],"n":[19],"i.i.d.":[20],"samples":[21],"from":[22,29,39],"a":[23,30,62],"distribution":[24,31],"p":[25,72],"\u2208":[26,33],"or":[28,73],"q":[32],"Q":[34],"wants":[36],"to":[37],"decide":[38],"which":[40,55,67],"set":[41],"points":[43],"were":[44],"sampled.":[45],"It":[46],"is":[47],"known":[48],"that":[49],"optimal":[51],"exponential":[52],"rate":[53],"at":[54],"errors":[56],"decrease":[57],"can":[58],"be":[59],"achieved":[60],"by":[61],"simple":[63],"maximum-likelihood":[64],"ratio":[65],"test":[66],"does":[68],"not":[69],"depend":[70],"on":[71,77],"q,":[74],"but":[75],"only":[76]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}