{"id":"W4378805998","doi":"10.1103/physrevlett.130.220801","title":"Fully Passive Quantum Key Distribution","year":2023,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; Atlantic Research Center for Information and Communication Technologies; Mitacs; Huawei Technologies; Ministerio de Ciencia e Innovación; Xunta de Galicia; University of Hong Kong; Ministerio de Economía y Competitividad; European Regional Development Fund; European Commission; Ontario Research Foundation; Canada Foundation for Innovation; Royal Bank of Canada; Innovative Solutions Canada","keywords":"Quantum key distribution; Postselection; BB84; Computer science; Quantum cryptography; Robustness (evolution); Detector; Key generation; Quantum; Reference frame; Key (lock); Physics; Algorithm; Frame (networking); Cryptography; Quantum information; Quantum mechanics; Computer network; Telecommunications; Quantum entanglement","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007026155,0.0003847407,0.0005140199,0.0002782076,0.0004042631,0.001344033,0.001722645,0.001263538,0.004914836],"category_scores_gemma":[0.001385357,0.0004416915,0.0002858609,0.0003044402,0.001113479,0.003489017,0.001680826,0.0009367567,0.00198878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004925776,"about_ca_system_score_gemma":0.0005540005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001081723,"about_ca_topic_score_gemma":0.0001068218,"domain_scores_codex":[0.9990065,0.00013697,0.00004161659,0.0002260572,0.0005027633,0.0000861806],"domain_scores_gemma":[0.9989765,0.0002632404,0.0001123207,0.0003639465,0.0002285796,0.00005551747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006421099,0.0002387744,0.000755912,0.0005100651,0.00007416544,0.0002123108,0.0001897287,0.01872416,0.3647029,0.4967542,0.007136797,0.1100589],"study_design_scores_gemma":[0.0002877639,0.0007475404,0.0007593968,0.0001000239,0.00007179204,0.0009354018,0.00003666499,0.4507481,0.3000287,0.1749903,0.07114477,0.0001496102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05206975,0.0007473332,0.9169137,0.001253292,0.0003437601,0.0002023724,0.000457341,0.001633113,0.02637925],"genre_scores_gemma":[0.8219414,0.0005618695,0.1604542,0.0007736663,0.000204112,0.0002580367,0.0003424587,0.0001575384,0.01530668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004914836,"threshold_uncertainty_score":0.01644182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490267703981522,"score_gpt":0.2747254145737394,"score_spread":0.2598227375339242,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}