{"id":"https://openalex.org/W2529479093","doi":"https://doi.org/10.1109/cca.2016.7587935","title":"Characteristics optimization via compressed sensing in quantum state estimation","display_name":"Characteristics optimization via compressed sensing in quantum state estimation","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2529479093","doi":"https://doi.org/10.1109/cca.2016.7587935","mag":"2529479093"},"language":"en","primary_location":{"id":"doi:10.1109/cca.2016.7587935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cca.2016.7587935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Conference on Control Applications (CCA)","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/A5103654972","display_name":"Zheng Kai","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Zheng","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101786299","display_name":"Kezhi Li","orcid":"https://orcid.org/0000-0003-3073-3128"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kezhi Li","raw_affiliation_strings":["Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047621347","display_name":"Shuang Cong","orcid":"https://orcid.org/0000-0001-8101-0128"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Cong","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103654972"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09971998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"948","last_page":"953"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.8087146282196045},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.7029573917388916},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.6564027667045593},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.6405036449432373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6154379844665527},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.597030758857727},{"id":"https://openalex.org/keywords/quantum-phase-estimation-algorithm","display_name":"Quantum phase estimation algorithm","score":0.5622283816337585},{"id":"https://openalex.org/keywords/quantum-state","display_name":"Quantum state","score":0.5395165681838989},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5273956656455994},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5039920210838318},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4639520049095154},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41335782408714294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3358052372932434},{"id":"https://openalex.org/keywords/quantum-algorithm","display_name":"Quantum algorithm","score":0.3119080662727356},{"id":"https://openalex.org/keywords/quantum-error-correction","display_name":"Quantum error correction","score":0.2325645387172699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11651533842086792},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.10573247075080872},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10364159941673279},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10141003131866455}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8087146282196045},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.7029573917388916},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.6564027667045593},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.6405036449432373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6154379844665527},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.597030758857727},{"id":"https://openalex.org/C192122513","wikidata":"https://www.wikidata.org/wiki/Q2835770","display_name":"Quantum phase estimation algorithm","level":5,"score":0.5622283816337585},{"id":"https://openalex.org/C15706264","wikidata":"https://www.wikidata.org/wiki/Q230883","display_name":"Quantum state","level":3,"score":0.5395165681838989},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5273956656455994},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5039920210838318},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4639520049095154},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41335782408714294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3358052372932434},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.3119080662727356},{"id":"https://openalex.org/C51003876","wikidata":"https://www.wikidata.org/wiki/Q1536431","display_name":"Quantum error correction","level":4,"score":0.2325645387172699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11651533842086792},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.10573247075080872},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10364159941673279},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10141003131866455},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cca.2016.7587935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cca.2016.7587935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Conference on Control Applications (CCA)","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":21,"referenced_works":["https://openalex.org/W143004564","https://openalex.org/W1529624360","https://openalex.org/W1667938101","https://openalex.org/W1992996794","https://openalex.org/W2000547170","https://openalex.org/W2015418199","https://openalex.org/W2027919910","https://openalex.org/W2117377454","https://openalex.org/W2118550318","https://openalex.org/W2129131372","https://openalex.org/W2135178212","https://openalex.org/W2140336578","https://openalex.org/W2162451874","https://openalex.org/W2166163936","https://openalex.org/W2296616510","https://openalex.org/W2382967654","https://openalex.org/W2611328865","https://openalex.org/W2963074150","https://openalex.org/W3104501706","https://openalex.org/W4250955649","https://openalex.org/W6637178627"],"related_works":["https://openalex.org/W2566913519","https://openalex.org/W1980834277","https://openalex.org/W3136237069","https://openalex.org/W4387123097","https://openalex.org/W4225806567","https://openalex.org/W3183333684","https://openalex.org/W3203856319","https://openalex.org/W3118014295","https://openalex.org/W3157698208","https://openalex.org/W4287825142"],"abstract_inverted_index":{"Compressed":[0],"sensing":[1,40],"(CS)":[2],"has":[3],"been":[4],"proved":[5],"efficiently":[6],"in":[7,14,97,116],"reducing":[8],"the":[9,15,22,25,32,47,64,68,73,83,87,98,107,110,117],"required":[10],"number":[11,27,112],"of":[12,28,34,45,50,56,58,77,109,113],"measurements":[13],"quantum":[16,35,59,118],"state":[17,36,60,99,119],"estimation.":[18,61,120],"In":[19],"this":[20],"paper,":[21],"relationship":[23],"between":[24],"optimal":[26,92],"measurement":[29,51,114],"settings":[30,52,115],"and":[31,53,81,94],"error":[33,57,95],"estimation":[37,100],"via":[38],"compressed":[39],"are":[41],"studied":[42],"by":[43,67],"means":[44],"analyzing":[46],"lower":[48],"bound":[49,55],"upper":[54],"Based":[62],"on":[63],"results":[65],"obtained":[66,91],"CS":[69],"theory,":[70],"we":[71],"analyze":[72],"above":[74],"mentioned":[75],"characteristics":[76],"three":[78],"observation":[79],"matrices":[80],"give":[82],"performance":[84],"comparisons":[85],"through":[86],"numerical":[88],"simulations.":[89],"The":[90],"conditions":[93],"bounds":[96],"process":[101],"can":[102],"provide":[103],"theoretical":[104],"instructions":[105],"for":[106],"selection":[108],"minimum":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}