{"id":"https://openalex.org/W4388685406","doi":"https://doi.org/10.48550/arxiv.2311.07203","title":"Optical Quantum Sensing for Agnostic Environments via Deep Learning","display_name":"Optical Quantum Sensing for Agnostic Environments via Deep Learning","publication_year":2023,"publication_date":"2023-11-13","ids":{"openalex":"https://openalex.org/W4388685406","doi":"https://doi.org/10.48550/arxiv.2311.07203"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2311.07203","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.07203","pdf_url":"https://arxiv.org/pdf/2311.07203","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2311.07203","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031403146","display_name":"Z.-F. Zhou","orcid":"https://orcid.org/0000-0001-5835-6753"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhou, Zeqiao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102777227","display_name":"Yuxuan Du","orcid":"https://orcid.org/0000-0002-1193-9756"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Yuxuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101094574","display_name":"Xu-Fei Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Xu-Fei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114860317","display_name":"Shanshan Zhao","orcid":"https://orcid.org/0009-0009-5523-8407"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Shanshan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071510961","display_name":"Xinmei Tian","orcid":"https://orcid.org/0000-0002-5952-8753"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Xinmei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao, Dacheng","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5031403146"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10020","display_name":"Quantum Information and Cryptography","score":0.994700014591217,"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":0.994700014591217,"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/T11449","display_name":"Mechanical and Optical Resonators","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9873999953269958,"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":0.6491575837135315},{"id":"https://openalex.org/keywords/quantum-sensor","display_name":"Quantum sensor","score":0.5813421010971069},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.47714540362358093},{"id":"https://openalex.org/keywords/trigonometry","display_name":"Trigonometry","score":0.4681824743747711},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.44861096143722534},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43165016174316406},{"id":"https://openalex.org/keywords/quantum-metrology","display_name":"Quantum metrology","score":0.43049219250679016},{"id":"https://openalex.org/keywords/quantum-limit","display_name":"Quantum limit","score":0.42368319630622864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.386546790599823},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.3236919641494751},{"id":"https://openalex.org/keywords/quantum-network","display_name":"Quantum network","score":0.2594921886920929},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.20507723093032837},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15618768334388733},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.09195393323898315}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6491575837135315},{"id":"https://openalex.org/C89143813","wikidata":"https://www.wikidata.org/wiki/Q17105423","display_name":"Quantum sensor","level":5,"score":0.5813421010971069},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.47714540362358093},{"id":"https://openalex.org/C29001434","wikidata":"https://www.wikidata.org/wiki/Q8084","display_name":"Trigonometry","level":2,"score":0.4681824743747711},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.44861096143722534},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43165016174316406},{"id":"https://openalex.org/C95013731","wikidata":"https://www.wikidata.org/wiki/Q7269071","display_name":"Quantum metrology","level":5,"score":0.43049219250679016},{"id":"https://openalex.org/C180214583","wikidata":"https://www.wikidata.org/wiki/Q4439348","display_name":"Quantum limit","level":3,"score":0.42368319630622864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.386546790599823},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.3236919641494751},{"id":"https://openalex.org/C186468114","wikidata":"https://www.wikidata.org/wiki/Q836478","display_name":"Quantum network","level":4,"score":0.2594921886920929},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20507723093032837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15618768334388733},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.09195393323898315},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","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}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2311.07203","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.07203","pdf_url":"https://arxiv.org/pdf/2311.07203","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2311.07203","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2311.07203","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2311.07203","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.07203","pdf_url":"https://arxiv.org/pdf/2311.07203","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5030940285","display_name":null,"funder_award_id":"2023M","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5970473805","display_name":null,"funder_award_id":"2023M733418","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8525381311","display_name":null,"funder_award_id":"62222117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4388685406.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2334416918","https://openalex.org/W4293761477","https://openalex.org/W1418485628","https://openalex.org/W2491603880","https://openalex.org/W4389097682","https://openalex.org/W1964618210","https://openalex.org/W3014974827","https://openalex.org/W4309767120","https://openalex.org/W3141427317","https://openalex.org/W4221159799"],"abstract_inverted_index":{"Optical":[0],"quantum":[1,49,105,177,189],"sensing":[2,178],"promises":[3],"measurement":[4],"precision":[5],"beyond":[6],"classical":[7],"sensors":[8,50],"termed":[9],"the":[10,23,80,89,93,99,103,112,119,138,143,153],"Heisenberg":[11],"limit":[12],"(HL).":[13],"However,":[14],"conventional":[15],"methodologies":[16],"often":[17],"rely":[18],"on":[19,84],"prior":[20],"knowledge":[21,117],"of":[22,121,155],"target":[24],"system":[25],"to":[26,51,87,136,151,161,174],"achieve":[27],"HL,":[28],"presenting":[29],"challenges":[30],"in":[31,54,97],"practical":[32],"applications.":[33],"Addressing":[34],"this":[35],"limitation,":[36],"we":[37],"introduce":[38],"an":[39],"innovative":[40],"Deep":[41],"Learning-based":[42],"Quantum":[43],"Sensing":[44],"scheme":[45],"(DQS),":[46],"enabling":[47],"optical":[48,94,123,145,176],"attain":[52],"HL":[53],"agnostic":[55,113],"environments.":[56],"DQS":[57,78,130,156],"incorporates":[58],"two":[59],"essential":[60],"components:":[61],"a":[62,69,75,132,169],"Graph":[63],"Neural":[64],"Network":[65],"(GNN)":[66],"predictor":[67],"and":[68,102,188],"trigonometric":[70,133],"interpolation":[71,134],"algorithm.":[72],"Operating":[73],"within":[74],"data-driven":[76],"paradigm,":[77],"utilizes":[79],"GNN":[81],"predictor,":[82],"trained":[83],"offline":[85],"data,":[86],"unveil":[88],"intrinsic":[90],"relationships":[91],"between":[92],"setups":[95,124],"employed":[96],"preparing":[98],"probe":[100],"state":[101],"resulting":[104],"Fisher":[106],"information":[107],"(QFI)":[108],"after":[109],"interaction":[110],"with":[111,126],"environment.":[114],"This":[115],"distilled":[116],"facilitates":[118],"identification":[120],"optimal":[122],"associated":[125],"maximal":[127],"QFI.":[128],"Subsequently,":[129],"employs":[131],"algorithm":[135],"recover":[137],"unknown":[139],"parameter":[140],"estimates":[141],"for":[142],"identified":[144],"setups.":[146],"Extensive":[147],"experiments":[148],"are":[149],"conducted":[150],"investigate":[152],"performance":[154],"under":[157],"different":[158],"settings":[159],"up":[160],"eight":[162],"photons.":[163],"Our":[164],"findings":[165],"not":[166],"only":[167],"offer":[168],"new":[170],"lens":[171],"through":[172],"which":[173],"accelerate":[175],"tasks":[179],"but":[180],"also":[181],"catalyze":[182],"future":[183],"research":[184],"integrating":[185],"deep":[186],"learning":[187],"mechanics.":[190]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}