{"id":"https://openalex.org/W7220650764","doi":"https://doi.org/10.48550/arxiv.2610.06388","title":"Value of spatially multiplexed SNSPDs with photon-number-resolving capabilities","display_name":"Value of spatially multiplexed SNSPDs with photon-number-resolving capabilities","publication_year":2026,"publication_date":"2026-10-05","ids":{"openalex":"https://openalex.org/W7220650764","doi":"https://doi.org/10.48550/arxiv.2610.06388"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2610.06388","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.06388","pdf_url":"https://arxiv.org/pdf/2610.06388","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/2610.06388","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069054513","display_name":"Fabio Auriemma","orcid":"https://orcid.org/0000-0002-8305-0884","observed_orcids":["https://orcid.org/0000-0002-8305-0884"]},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Auriemma, Fabio","raw_affiliation_strings":["CNR -Institute for SuPerconductors , INnovative materials, and devices (SPIN) , Via Campi Flegrei , 34 , Pozzuoli ( ZIP 80078) , Napoli , Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNR -Institute for SuPerconductors , INnovative materials, and devices (SPIN) , Via Campi Flegrei , 34 , Pozzuoli ( ZIP 80078) , Napoli , Italy","institution_ids":["https://openalex.org/I4210155236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087275019","display_name":"Mikkel Ejrnaes","orcid":"https://orcid.org/0000-0002-7461-9143","observed_orcids":["https://orcid.org/0000-0002-7461-9143"]},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ejrnaes, Mikkel","raw_affiliation_strings":["CNR -Institute for SuPerconductors , INnovative materials, and devices (SPIN) , Via Campi Flegrei , 34 , Pozzuoli ( ZIP 80078) , Napoli , Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNR -Institute for SuPerconductors , INnovative materials, and devices (SPIN) , Via Campi Flegrei , 34 , Pozzuoli ( ZIP 80078) , Napoli , Italy","institution_ids":["https://openalex.org/I4210155236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210155236"],"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":0.5303000211715698,"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":0.5303000211715698,"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/T11803","display_name":"Superconducting and THz Device Technology","score":0.3059000074863434,"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/T11216","display_name":"Radiation Detection and Scintillator Technologies","score":0.023600000888109207,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"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/superconducting-nanowire-single-photon-detectors","display_name":"superconducting nanowire single-photon detectors","score":0.9890000224113464},{"id":"https://openalex.org/keywords/photon-number-resolving-detection","display_name":"photon-number-resolving detection","score":0.7260000109672546},{"id":"https://openalex.org/keywords/spatial-multiplexing","display_name":"spatial multiplexing","score":0.8059999942779541},{"id":"https://openalex.org/keywords/dark-counts","display_name":"dark counts","score":0.7770000100135803},{"id":"https://openalex.org/keywords/value-of-information","display_name":"value of information","score":0.6959999799728394}],"concepts":[{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.8245999813079834},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.765500009059906},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5932000279426575},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5697000026702881},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5020999908447266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4542999863624573},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.42890000343322754},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4065999984741211},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.3944999873638153},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3926999866962433},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.35409998893737793},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3433000147342682},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3398999869823456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3352999985218048},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.33390000462532043},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2522999942302704}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2610.06388","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.06388","pdf_url":"https://arxiv.org/pdf/2610.06388","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.2610.06388","doi":"https://doi.org/10.48550/arxiv.2610.06388","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2610.06388","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:2610.06388","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.06388","pdf_url":"https://arxiv.org/pdf/2610.06388","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":[{"id":"https://openalex.org/G675437911","display_name":null,"funder_award_id":"2021 2027","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"}],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7220650764.pdf","grobid_xml":"https://content.openalex.org/works/W7220650764.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W4403885945","https://openalex.org/W4410886304","https://openalex.org/W4414808898","https://openalex.org/W7128432244"],"related_works":["https://openalex.org/W4413456730","https://openalex.org/W2106512914","https://openalex.org/W4206462962","https://openalex.org/W7214785947","https://openalex.org/W3085898876","https://openalex.org/W4392678776","https://openalex.org/W3212975051","https://openalex.org/W4399365209","https://openalex.org/W4410886304","https://openalex.org/W4390962067"],"abstract_inverted_index":{"We":[0,76,112],"develop":[1],"a":[2,39,98,103,166],"combinatorial":[3],"and":[4,107,120,129,141,154],"Bayesian":[5,104,142],"framework":[6],"to":[7,38,116],"quantify":[8],"the":[9,14,43,50,54,59,87,108,148],"information":[10],"gained":[11],"by":[12,30,57,158],"increasing":[13,132],"local":[15,133],"photon-number":[16,35,105,134,143,156],"resolution":[17,135],"of":[18,63,73,89,127],"multiplexed":[19,64,122,161],"detection":[20,46],"systems":[21,65,123],"based":[22,66],"on":[23,67],"superconducting":[24],"nanowire":[25],"single-photon":[26],"detectors":[27,128],"(SNSPDs).":[28],"Motivated":[29],"recent":[31],"studies":[32],"that":[33,131],"attribute":[34],"resolving":[36],"capabilities":[37],"single":[40],"SNSPD":[41],"overcoming":[42],"typical":[44],"on/off":[45],"mechanism,":[47],"we":[48,96],"generalize":[49],"existing":[51],"formulation":[52,115],"for":[53,170],"binary":[55,160],"devices":[56],"deriving":[58],"probability":[60],"response":[61,94],"tensor":[62,95],"SNSPDs":[68],"with":[69,124],"an":[70],"arbitrary":[71],"number":[72,153],"resolvable":[74,155],"states.":[75],"include":[77],"finite":[78],"efficiency":[79],"through":[80],"binomial":[81],"loss":[82],"convolution":[83],"and,":[84],"separately,":[85],"assess":[86],"impact":[88],"dark":[90],"counts.":[91],"From":[92],"this":[93,114],"derive":[97],"generalized":[99],"N-photon":[100],"detector":[101,139,152,173],"fidelity,":[102],"reconstruction,":[106],"corresponding":[109],"reconstruction":[110],"fidelity.":[111],"particularize":[113],"study":[117],"2-,":[118],"3-":[119],"4-state":[121],"different":[125],"numbers":[126],"show":[130],"systematically":[136],"improves":[137],"both":[138],"fidelity":[140],"reconstruction.":[144],"This":[145],"substantially":[146],"relaxes":[147],"quadratic":[149],"scaling":[150],"between":[151],"required":[157],"purely":[159],"arrays.":[162,174],"These":[163],"results":[164],"provide":[165],"quantitative":[167],"value-of-information":[168],"assessment":[169],"multi-state":[171],"photon-number-resolving":[172]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-07T00:00:00"}