{"id":"https://openalex.org/W7225568563","doi":"https://doi.org/10.6084/m9.figshare.34948315","title":"Inverting Bosonic Gaussian Channels: One-Photon Tests and Sharp Tomography Rates","display_name":"Inverting Bosonic Gaussian Channels: One-Photon Tests and Sharp Tomography Rates","publication_year":2026,"publication_date":"2026-11-08","ids":{"openalex":"https://openalex.org/W7225568563","doi":"https://doi.org/10.6084/m9.figshare.34948315"},"language":"en","primary_location":{"id":"doi:10.6084/m9.figshare.34948315","doi":"https://doi.org/10.6084/m9.figshare.34948315","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34948315","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.6084/m9.figshare.34948315","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5158201465","display_name":"Akihiro Koide","orcid":"https://orcid.org/0009-0002-8391-3480","observed_orcids":["https://orcid.org/0009-0002-8391-3480"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Akihiro Koide","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0002-8391-3480","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5158201465"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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":0.9994999766349792,"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":0.9994999766349792,"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":0.00019999999494757503,"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/T11414","display_name":"Quantum optics and atomic interactions","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bosonic-gaussian-channels","display_name":"bosonic Gaussian channels","score":0.8479999899864197},{"id":"https://openalex.org/keywords/quantum-state-tomography","display_name":"quantum state tomography","score":0.7170000076293945},{"id":"https://openalex.org/keywords/minimax-rates","display_name":"minimax rates","score":0.7609999775886536},{"id":"https://openalex.org/keywords/vacuum-testing","display_name":"vacuum testing","score":0.8069999814033508},{"id":"https://openalex.org/keywords/trace-distance","display_name":"trace distance","score":0.5789999961853027},{"id":"https://openalex.org/keywords/collective-measurements","display_name":"collective measurements","score":0.8389999866485596},{"id":"https://openalex.org/keywords/quantum-hypothesis-testing","display_name":"quantum hypothesis testing","score":0.4020000100135803}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.691100001335144},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.6746000051498413},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5874000191688538},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.4587000012397766},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.4499000012874603},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4487999975681305},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.38199999928474426},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.3582000136375427},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.32260000705718994},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C128107574","wikidata":"https://www.wikidata.org/wiki/Q182003","display_name":"Injective function","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C43169469","wikidata":"https://www.wikidata.org/wiki/Q580922","display_name":"Preprint","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C201080289","wikidata":"https://www.wikidata.org/wiki/Q5156587","display_name":"Complex normal distribution","level":3,"score":0.2669999897480011},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C36649600","wikidata":"https://www.wikidata.org/wiki/Q762521","display_name":"Logarithmic derivative","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.25859999656677246},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.6084/m9.figshare.34948315","doi":"https://doi.org/10.6084/m9.figshare.34948315","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34948315","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.6084/m9.figshare.34948315.v1","doi":"https://doi.org/10.6084/m9.figshare.34948315.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34948315.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.6084/m9.figshare.34948315","doi":"https://doi.org/10.6084/m9.figshare.34948315","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34948315","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7220696487","https://openalex.org/W1852611171","https://openalex.org/W2028569273","https://openalex.org/W4416050340","https://openalex.org/W2794550150","https://openalex.org/W7214018024","https://openalex.org/W2057996361","https://openalex.org/W3043015683","https://openalex.org/W7214021044","https://openalex.org/W1755995055"],"abstract_inverted_index":{"This":[0],"preprint":[1],"studies":[2],"the":[3,11,74,85,104,140],"reconstruction":[4],"of":[5,13,20,56,76,133],"arbitrary":[6],"bosonic":[7],"input":[8,25],"states":[9],"from":[10],"output":[12,27,112],"a":[14,30,41,63,67,81,120],"known":[15],"Gaussian":[16,64],"channel.":[17],"For":[18,80,108],"families":[19],"channels":[21],"with":[22,66],"possibly":[23],"varying":[24],"and":[26,58,61,119,137],"mode":[28],"counts,":[29],"semidefinite":[31],"condition":[32,47],"characterizes":[33],"uniform":[34,51,68],"inverse":[35,70],"continuity":[36],"in":[37,53,73,139],"trace":[38],"distance":[39],"under":[40],"total":[42],"photon":[43],"moment":[44],"bound.":[45],"The":[46,96,126],"is":[48,106,114,124],"equivalent":[49,115],"to":[50,116],"separation":[52],"two":[54],"types":[55],"vacuum":[57],"one-photon":[59],"tests":[60],"gives":[62,87],"receiver":[65],"logarithmic":[69,89],"bound,":[71],"including":[72],"presence":[75],"an":[77],"untouched":[78],"reference.":[79],"fixed":[82],"injective":[83],"channel,":[84],"paper":[86],"sharp":[88],"minimax":[90],"rates":[91,98],"for":[92,100],"ordinary":[93],"heterodyne":[94],"tomography.":[95],"same":[97],"hold":[99],"collective":[101,111],"measurements":[102],"when":[103],"channel":[105],"irreversible.":[107],"reversible":[109],"channels,":[110],"tomography":[113],"direct-input":[117],"tomography,":[118],"polynomial":[121],"upper":[122],"bound":[123],"given.":[125],"computational":[127],"supplement":[128],"reproduces":[129],"14,634":[130],"exact":[131],"checks":[132],"finite":[134],"identities,":[135],"bounds,":[136],"examples":[138],"manuscript.":[141]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-11-09T00:00:00"}