{"id":"https://openalex.org/W2964168673","doi":"https://doi.org/10.1038/s41598-017-08585-8","title":"Ultrafast photonic reinforcement learning based on laser chaos","display_name":"Ultrafast photonic reinforcement learning based on laser chaos","publication_year":2017,"publication_date":"2017-08-14","ids":{"openalex":"https://openalex.org/W2964168673","doi":"https://doi.org/10.1038/s41598-017-08585-8","mag":"2964168673","pmid":"https://pubmed.ncbi.nlm.nih.gov/28821739","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/5562742"},"language":"en","primary_location":{"id":"doi:10.1038/s41598-017-08585-8","doi":"https://doi.org/10.1038/s41598-017-08585-8","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-017-08585-8","pdf_url":"https://www.nature.com/articles/s41598-017-08585-8.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","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":"Scientific Reports","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.nature.com/articles/s41598-017-08585-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002483949","display_name":"Makoto Naruse","orcid":"https://orcid.org/0000-0001-8982-9824","observed_orcids":["https://orcid.org/0000-0001-8982-9824"]},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Makoto Naruse","raw_affiliation_strings":["Strategic Planning Department, National Institute of Information and Communications Technology, 4-2-1 Nukui-kita, Koganei, Tokyo, 184-8795, Japan. naruse@nict.go.jp","Strategic Planning Department, National Institute of Information and Communications Technology, 4-2-1 Nukui-kita, Koganei, Tokyo, 184-8795, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Strategic Planning Department, National Institute of Information and Communications Technology, 4-2-1 Nukui-kita, Koganei, Tokyo, 184-8795, Japan. naruse@nict.go.jp","institution_ids":["https://openalex.org/I90023481"]},{"raw_affiliation_string":"Strategic Planning Department, National Institute of Information and Communications Technology, 4-2-1 Nukui-kita, Koganei, Tokyo, 184-8795, Japan","institution_ids":["https://openalex.org/I90023481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041104609","display_name":"Yuta Terashima","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Terashima","raw_affiliation_strings":["Department of Information and Computer Sciences, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama, Saitama, 338-8570, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Sciences, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama, Saitama, 338-8570, Japan","institution_ids":["https://openalex.org/I72253084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004119695","display_name":"Atsushi Uchida","orcid":"https://orcid.org/0000-0002-4654-8616","observed_orcids":["https://orcid.org/0000-0002-4654-8616"]},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsushi Uchida","raw_affiliation_strings":["Department of Information and Computer Sciences, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama, Saitama, 338-8570, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Sciences, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama, Saitama, 338-8570, Japan","institution_ids":["https://openalex.org/I72253084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011360511","display_name":"Song-Ju Kim","orcid":"https://orcid.org/0000-0003-2369-7448","observed_orcids":["https://orcid.org/0000-0003-2369-7448","https://orcid.org/0000-0003-4161-4909"]},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]},{"id":"https://openalex.org/I4210141715","display_name":"Keio University Shonan Fujisawa","ror":"https://ror.org/047khpn70","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210141715"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Song-Ju Kim","raw_affiliation_strings":["Graduate School of Media and Governance, Keio University, 5322 Endo, Fujisawa, Kanagawa, 252-0882, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Media and Governance, Keio University, 5322 Endo, Fujisawa, Kanagawa, 252-0882, Japan","institution_ids":["https://openalex.org/I203951103","https://openalex.org/I4210141715"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002483949"],"corresponding_institution_ids":["https://openalex.org/I90023481"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":5.7705,"has_fulltext":true,"cited_by_count":108,"citation_normalized_percentile":{"value":0.96776106,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":"7","issue":"1","first_page":"8772","last_page":"8772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.5390999913215637,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.5390999913215637,"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/T11429","display_name":"Semiconductor Lasers and Optical Devices","score":0.23739999532699585,"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/T10244","display_name":"Chaos control and synchronization","score":0.1477999985218048,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"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/laser-chaos","display_name":"laser chaos","score":0.9760000109672546},{"id":"https://openalex.org/keywords/multi-armed-bandits","display_name":"multi-armed bandits","score":0.875},{"id":"https://openalex.org/keywords/exploration-exploitation-trade-off","display_name":"exploration-exploitation balance","score":0.9819999933242798},{"id":"https://openalex.org/keywords/semiconductor-lasers","display_name":"semiconductor lasers","score":0.703000009059906},{"id":"https://openalex.org/keywords/pseudorandom-number-generation","display_name":"pseudorandom number generation","score":0.847000002861023},{"id":"https://openalex.org/keywords/negative-autocorrelation","display_name":"negative autocorrelation","score":0.7440000176429749},{"id":"https://openalex.org/keywords/sampling-interval-optimization","display_name":"sampling interval optimization","score":0.6990000009536743},{"id":"https://openalex.org/keywords/ultrafast-photonics","display_name":"ultrafast photonics","score":0.6069999933242798}],"concepts":[{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.7878286838531494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7498078346252441},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6833447813987732},{"id":"https://openalex.org/C178596936","wikidata":"https://www.wikidata.org/wiki/Q844471","display_name":"Ultrashort pulse","level":3,"score":0.6058548092842102},{"id":"https://openalex.org/C20788544","wikidata":"https://www.wikidata.org/wiki/Q467054","display_name":"Photonics","level":2,"score":0.47004881501197815},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.4501514136791229},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4349689185619354},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.4229593873023987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4036751985549927},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.17293491959571838},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16225537657737732},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15819796919822693},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08800020813941956},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08732670545578003}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1038/s41598-017-08585-8","doi":"https://doi.org/10.1038/s41598-017-08585-8","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-017-08585-8","pdf_url":"https://www.nature.com/articles/s41598-017-08585-8.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","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":"Scientific Reports","raw_type":"journal-article"},{"id":"pmh:oai:europepmc.org:4459492","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5562742","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Text"},{"id":"pmid:28821739","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28821739","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific reports","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:5562742","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC5562742/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sci Rep","raw_type":"Text"},{"id":"pmh:oai:arXiv.org:1704.04379","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1704.04379","pdf_url":"https://arxiv.org/pdf/1704.04379","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"pmh:oai:doaj.org/article:506a6a3704f44445ad9f4c41e8098dc9","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/506a6a3704f44445ad9f4c41e8098dc9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)","raw_type":"article"},{"id":"doi:10.48550/arxiv.1704.04379","doi":"https://doi.org/10.48550/arxiv.1704.04379","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1704.04379","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1038/s41598-017-08585-8","doi":"https://doi.org/10.1038/s41598-017-08585-8","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-017-08585-8","pdf_url":"https://www.nature.com/articles/s41598-017-08585-8.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","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":"Scientific Reports","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1844152123","display_name":"Decision making using nano-optics and laser chaos","funder_award_id":"17H01277","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5833888954","display_name":"Development of ultrafast random number generators based on complex photonics","funder_award_id":"16H03878","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964168673.pdf","grobid_xml":"https://content.openalex.org/works/W2964168673.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W342713225","https://openalex.org/W1596912335","https://openalex.org/W1599235784","https://openalex.org/W1625390266","https://openalex.org/W1631695720","https://openalex.org/W1661179413","https://openalex.org/W1963837192","https://openalex.org/W1965702053","https://openalex.org/W1970120985","https://openalex.org/W1970335931","https://openalex.org/W1989683026","https://openalex.org/W1990423581","https://openalex.org/W1998498767","https://openalex.org/W2000244375","https://openalex.org/W2003432911","https://openalex.org/W2005833687","https://openalex.org/W2008671653","https://openalex.org/W2009551863","https://openalex.org/W2010528458","https://openalex.org/W2012731843","https://openalex.org/W2014012603","https://openalex.org/W2017155664","https://openalex.org/W2022248835","https://openalex.org/W2029939668","https://openalex.org/W2033428839","https://openalex.org/W2040461731","https://openalex.org/W2041779618","https://openalex.org/W2063025911","https://openalex.org/W2070678636","https://openalex.org/W2077611535","https://openalex.org/W2085815389","https://openalex.org/W2090387128","https://openalex.org/W2100922150","https://openalex.org/W2103869034","https://openalex.org/W2121863487","https://openalex.org/W2122426971","https://openalex.org/W2125605797","https://openalex.org/W2135470377","https://openalex.org/W2136817021","https://openalex.org/W2142268979","https://openalex.org/W2166786329","https://openalex.org/W2168405694","https://openalex.org/W2238750598","https://openalex.org/W2257979135","https://openalex.org/W2299935796","https://openalex.org/W2504797983","https://openalex.org/W2533968486","https://openalex.org/W2557329635","https://openalex.org/W2559803643","https://openalex.org/W2559966404","https://openalex.org/W2586112714","https://openalex.org/W2596927731","https://openalex.org/W2768952972","https://openalex.org/W2953127659","https://openalex.org/W4214717370","https://openalex.org/W4240946638"],"related_works":["https://openalex.org/W2964023233","https://openalex.org/W2977970236","https://openalex.org/W7169677976","https://openalex.org/W4311503328","https://openalex.org/W3133811611","https://openalex.org/W4280516283","https://openalex.org/W3083895408","https://openalex.org/W4281261692","https://openalex.org/W4206780573","https://openalex.org/W4414647431"],"abstract_inverted_index":{"Reinforcement":[0],"learning":[1],"involves":[2],"decision":[3,42,134],"making":[4,43,135],"in":[5,79,167,185],"dynamic":[6],"and":[7,10,85,112,132,156,170],"uncertain":[8],"environments":[9],"constitutes":[11],"an":[12,152],"important":[13],"element":[14],"of":[15,31,47,61,81,88,109,122,141,182,188,194],"artificial":[16],"intelligence":[17],"(AI).":[18],"In":[19],"this":[20],"work,":[21],"we":[22,157],"experimentally":[23],"demonstrate":[24],"that":[25,146],"the":[26,35,51,56,86,159,163,176,186,191],"ultrafast":[27,183],"chaotic":[28],"oscillatory":[29],"dynamics":[30],"lasers":[32],"efficiently":[33],"solve":[34,55],"multi-armed":[36],"bandit":[37],"problem":[38],"(MAB),":[39],"which":[40],"requires":[41],"concerning":[44],"a":[45,58,101,106,116,125,137,179],"class":[46],"difficult":[48],"trade-offs":[49],"called":[50,120],"exploration-exploitation":[52],"dilemma.":[53],"To":[54],"MAB,":[57],"certain":[59],"degree":[60],"randomness":[62,89],"is":[63],"required":[64],"for":[65,178],"exploration":[66],"purposes.":[67],"However,":[68],"pseudorandom":[69],"numbers":[70],"generated":[71],"using":[72,100],"conventional":[73],"electronic":[74],"circuitry":[75],"encounter":[76],"severe":[77],"limitations":[78],"terms":[80],"their":[82,92],"data":[83],"rate":[84,108],"quality":[87],"due":[90],"to":[91,128],"algorithmic":[93],"foundations.":[94],"We":[95,144],"generate":[96],"laser":[97,103,168],"chaos":[98,169],"signals":[99],"semiconductor":[102],"sampled":[104],"at":[105,136],"maximum":[107,138],"100":[110],"GSample/s,":[111],"combine":[113],"it":[114],"with":[115,124,151],"simple":[117],"decision-making":[118,147,171],"principle":[119],"tug":[121],"war":[123],"variable":[126],"threshold,":[127],"ensure":[129],"ultrafast,":[130],"adaptive,":[131],"accurate":[133],"adaptation":[139],"speed":[140],"1":[142],"GHz.":[143],"found":[145],"performance":[148],"was":[149],"maximized":[150],"optimal":[153],"sampling":[154],"interval,":[155],"highlight":[158],"exact":[160],"coincidence":[161],"between":[162],"negative":[164],"autocorrelation":[165],"inherent":[166],"performance.":[172],"This":[173],"study":[174],"paves":[175],"way":[177],"new":[180,199],"realm":[181],"photonics":[184],"age":[187],"AI,":[189],"where":[190],"ultrahigh":[192],"bandwidth":[193],"light":[195],"wave":[196],"can":[197],"provide":[198],"value.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2019-07-30T00:00:00"}
