{"id":"https://openalex.org/W7222102306","doi":"https://doi.org/10.48550/arxiv.2610.19471","title":"Retrieving Metrological Information from Noisy Squeezed Spin States via Bayesian Optimization","display_name":"Retrieving Metrological Information from Noisy Squeezed Spin States via Bayesian Optimization","publication_year":2026,"publication_date":"2026-10-14","ids":{"openalex":"https://openalex.org/W7222102306","doi":"https://doi.org/10.48550/arxiv.2610.19471"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2610.19471","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.19471","pdf_url":"https://arxiv.org/pdf/2610.19471","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"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2610.19471","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117777740","display_name":"\u674e\u6069\u6cfd Li Enze","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Li, Enze","raw_affiliation_strings":["Department of Computer and Network Engineering , The University of Electro-Communications , 1-5-1 Chofugaoka , Chofu , Tokyo 182-8585 , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Network Engineering , The University of Electro-Communications , 1-5-1 Chofugaoka , Chofu , Tokyo 182-8585 , Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5158805751","display_name":"Yunjie Cai","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cai, Yunjie","raw_affiliation_strings":["Department of Information and Electronic Engineering ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Electronic Engineering ,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5158846909","display_name":"Jingwei Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I87531838","display_name":"Teikyo University","ror":"https://ror.org/01gaw2478","country_code":"JP","type":"education","lineage":["https://openalex.org/I87531838"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhang, Jingwei","raw_affiliation_strings":["Department of Information and Electronic Engineering ,","Faculty of Science and Engineering , Teikyo University , 1-1 Toyosodai , Utsunomiya-shi , Tochigi 320-8551 , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Electronic Engineering ,","institution_ids":[]},{"raw_affiliation_string":"Faculty of Science and Engineering , Teikyo University , 1-1 Toyosodai , Utsunomiya-shi , Tochigi 320-8551 , Japan","institution_ids":["https://openalex.org/I87531838"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034696818","display_name":"Emi Yukawa","orcid":"https://orcid.org/0000-0003-1772-3849","observed_orcids":["https://orcid.org/0000-0003-1772-3849"]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukawa, Emi","raw_affiliation_strings":["Department of Physics , The University of Tokyo , 7-3-1 Hongo , Bunkyo-ku , Tokyo 113-0033 , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics , The University of Tokyo , 7-3-1 Hongo , Bunkyo-ku , Tokyo 113-0033 , Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"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":0.9550999999046326,"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"}},"topics":[{"id":"https://openalex.org/T10020","display_name":"Quantum Information and Cryptography","score":0.9550999999046326,"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/T10622","display_name":"Quantum Mechanics and Applications","score":0.017799999564886093,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.0071000000461936,"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/bayesian-optimization","display_name":"Bayesian optimization","score":0.8289999961853027},{"id":"https://openalex.org/keywords/quantum-fisher-information","display_name":"quantum Fisher information","score":0.9070000052452087},{"id":"https://openalex.org/keywords/classical-fisher-information","display_name":"classical Fisher information","score":0.953000009059906},{"id":"https://openalex.org/keywords/standard-quantum-limit","display_name":"standard quantum limit","score":0.9110000133514404},{"id":"https://openalex.org/keywords/quantum-metrology","display_name":"quantum metrology","score":0.7379999756813049}],"concepts":[{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.7167999744415283},{"id":"https://openalex.org/C95013731","wikidata":"https://www.wikidata.org/wiki/Q7269071","display_name":"Quantum metrology","level":5,"score":0.6920999884605408},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.6065000295639038},{"id":"https://openalex.org/C195766429","wikidata":"https://www.wikidata.org/wiki/Q394","display_name":"Metrology","level":2,"score":0.5806999802589417},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5638999938964844},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5371999740600586},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.5202000141143799},{"id":"https://openalex.org/C173523689","wikidata":"https://www.wikidata.org/wiki/Q215589","display_name":"Dipole","level":2,"score":0.5073999762535095},{"id":"https://openalex.org/C42704618","wikidata":"https://www.wikidata.org/wiki/Q910917","display_name":"Spin (aerodynamics)","level":2,"score":0.5059000253677368},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5004000067710876},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.49239999055862427},{"id":"https://openalex.org/C39984356","wikidata":"https://www.wikidata.org/wiki/Q2121987","display_name":"Quadrupole","level":2,"score":0.4440999925136566},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C29406490","wikidata":"https://www.wikidata.org/wiki/Q1420659","display_name":"Fisher information","level":2,"score":0.41260001063346863},{"id":"https://openalex.org/C169699857","wikidata":"https://www.wikidata.org/wiki/Q2122243","display_name":"Quantum information","level":3,"score":0.4108000099658966},{"id":"https://openalex.org/C180214583","wikidata":"https://www.wikidata.org/wiki/Q4439348","display_name":"Quantum limit","level":3,"score":0.4020000100135803},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3537999987602234},{"id":"https://openalex.org/C68717125","wikidata":"https://www.wikidata.org/wiki/Q735602","display_name":"Quantum optics","level":2,"score":0.3452000021934509},{"id":"https://openalex.org/C89143813","wikidata":"https://www.wikidata.org/wiki/Q17105423","display_name":"Quantum sensor","level":5,"score":0.3449000120162964},{"id":"https://openalex.org/C33332235","wikidata":"https://www.wikidata.org/wiki/Q18362","display_name":"Theoretical physics","level":1,"score":0.3073999881744385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2971999943256378},{"id":"https://openalex.org/C2778361524","wikidata":"https://www.wikidata.org/wiki/Q44746","display_name":"Heisenberg limit","level":5,"score":0.29190000891685486},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.28360000252723694},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.2831000089645386},{"id":"https://openalex.org/C49874194","wikidata":"https://www.wikidata.org/wiki/Q5282045","display_name":"Discrete dipole approximation","level":3,"score":0.2777000069618225},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C15706264","wikidata":"https://www.wikidata.org/wiki/Q230883","display_name":"Quantum state","level":3,"score":0.27059999108314514},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.25220000743865967},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25119999051094055}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2610.19471","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.19471","pdf_url":"https://arxiv.org/pdf/2610.19471","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":"doi:10.48550/arxiv.2610.19471","doi":"https://doi.org/10.48550/arxiv.2610.19471","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2610.19471","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":"pmh:oai:arXiv.org:2610.19471","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.19471","pdf_url":"https://arxiv.org/pdf/2610.19471","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"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338111","display_name":"Precursory Research for Embryonic Science and Technology","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7222102306.pdf","grobid_xml":"https://content.openalex.org/works/W7222102306.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W7158748642"],"related_works":["https://openalex.org/W4405102765","https://openalex.org/W4401306950","https://openalex.org/W4385666619","https://openalex.org/W7136637568","https://openalex.org/W2945265573","https://openalex.org/W4398145103","https://openalex.org/W7203954550","https://openalex.org/W4404569505","https://openalex.org/W2615913313","https://openalex.org/W7117448152"],"abstract_inverted_index":{"Frequency":[0],"inhomogeneity":[1],"can":[2],"obscure":[3],"the":[4,12,41,60,77,90,97,102,106,110,117,134],"metrological":[5,127],"advantage":[6],"of":[7,14,40,68,136],"squeezed":[8],"spin":[9,131],"states,":[10],"making":[11],"choice":[13,135],"readout":[15,32,63,92],"crucial.":[16],"We":[17],"study":[18],"interacting":[19],"spin-1/2":[20],"ensembles":[21,67,99,132],"with":[22],"static":[23],"local":[24],"frequency":[25],"disorder":[26,35,83],"and":[27,50],"optimize":[28],"a":[29,87,123],"common":[30],"collective":[31,137],"over":[33],"independent":[34],"realizations.":[36],"Using":[37],"Bayesian":[38],"optimization":[39],"full":[42],"measurement-outcome":[43],"distribution,":[44],"we":[45],"identify":[46,122],"observables":[47],"combining":[48],"dipole":[49,62,91],"quadrupole":[51],"operators":[52],"that":[53,108],"yield":[54],"greater":[55],"classical":[56],"Fisher":[57,113],"information":[58,114,128],"than":[59],"optimized":[61],"considered":[64],"here.":[65],"For":[66,96],"up":[69],"to":[70,105,125],"17":[71],"spins,":[72],"their":[73],"disorder-averaged":[74,111],"CFI":[75],"surpasses":[76],"standard":[78],"quantum":[79,112],"limit":[80],"at":[81],"both":[82],"strengths":[84],"studied,":[85,100],"including":[86],"regime":[88],"where":[89],"remains":[93],"below":[94],"it.":[95],"larger":[98],"fixing":[101],"encoding":[103],"axis":[104],"direction":[107],"maximizes":[109],"retains":[115],"nearly":[116],"same":[118],"performance.":[119],"These":[120],"results":[121],"route":[124],"extracting":[126],"from":[129],"frequency-disordered":[130],"through":[133],"observable.":[138]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-16T00:00:00"}