{"id":"W4312132309","doi":"10.1364/oe.476440","title":"Efficient room-temperature molecular single-photon sources for quantum key distribution","year":2022,"lang":"en","type":"article","venue":"Optics Express","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"European Metrology Programme for Innovation and Research; H2020 Future and Emerging Technologies; Horizon 2020 Framework Programme; QuantERA","keywords":"Quantum key distribution; Quantum cryptography; Photon; Physics; Quantum information science; Key (lock); Optics; Computer science; Photon counting; Quantum network; Cryptography; Quantum optics; Quantum channel; Quantum; Single-photon source; Key distribution; Laser; Quantum information; Quantum mechanics; Public-key cryptography; Computer network; Encryption; Computer security; Quantum entanglement","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004946551,0.0003646403,0.0004430645,0.0003323849,0.0003653756,0.0006867625,0.00093612,0.0008867291,0.002810525],"category_scores_gemma":[0.0007346233,0.0002741328,0.000242032,0.0003985873,0.0006672951,0.001373339,0.0007718336,0.001616668,0.001517563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007527479,"about_ca_system_score_gemma":0.0005232612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001095967,"about_ca_topic_score_gemma":0.0001699268,"domain_scores_codex":[0.9995663,0.00005771962,0.00001796315,0.00008426828,0.0002361547,0.00003753431],"domain_scores_gemma":[0.9996661,0.000105518,0.00008527013,0.00005803527,0.00005814679,0.00002682887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001172304,0.00007614314,0.0002758062,0.0003608362,0.00001985377,0.000106791,0.0001033466,0.002287994,0.9205541,0.05968224,0.001082731,0.01533288],"study_design_scores_gemma":[0.00002844289,0.0001610754,0.0002188059,0.00003406318,0.00001432649,0.0001913577,0.00001768803,0.02282816,0.951564,0.004042898,0.02086177,0.00003746588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3347603,0.007083149,0.6360473,0.002030956,0.0005175233,0.0004132407,0.000836422,0.001624632,0.01668636],"genre_scores_gemma":[0.8179552,0.002152493,0.1759289,0.0002126751,0.00009689161,0.0002027364,0.000218096,0.0001103765,0.003122691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002810525,"threshold_uncertainty_score":0.009402156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00929808939616157,"score_gpt":0.2160012431449282,"score_spread":0.2067031537487666,"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."}}