{"id":"W2135328793","doi":"10.1364/ol.35.000312","title":"High-speed quantum random number generation by measuring phase noise of a single-mode laser","year":2010,"lang":"en","type":"article","venue":"Optics Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":289,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Quantum Research Center; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canadian Institute for Advanced Research","keywords":"Optics; Random number generation; Phase noise; Interferometry; Quantum noise; Physics; Lasing threshold; Laser; Noise (video); Phase (matter); Quantum; Computer science; Quantum mechanics; Algorithm","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":[0.0009003059,0.0003158395,0.0002699786,0.0005871162,0.0002179387,0.0003954843,0.0005627705,0.0004795845,0.0005104844],"category_scores_gemma":[0.001795219,0.0001821702,0.0000823948,0.0002432841,0.0005526864,0.0007988704,0.0003750302,0.0005007694,0.0001580988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002897384,"about_ca_system_score_gemma":0.0001915473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001456401,"about_ca_topic_score_gemma":0.0001835931,"domain_scores_codex":[0.9993254,0.0002051028,0.00002005409,0.0001145626,0.0002892479,0.00004575323],"domain_scores_gemma":[0.9989501,0.0004979274,0.0002160792,0.0001343032,0.0001490103,0.00005261049],"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":[0.0003147049,0.00008823394,0.004245843,0.0000585819,0.0000215151,0.0000958378,0.0001464801,0.004514679,0.9511014,0.006679655,0.0001662129,0.03256676],"study_design_scores_gemma":[0.00005912094,0.0005122499,0.002447094,0.000009624565,0.00002213729,0.0002753984,0.00001530905,0.1454381,0.8482403,0.001735969,0.001191196,0.00005347029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8677484,0.0003772757,0.1293686,0.0001755287,0.00005308142,0.00006868133,0.00006158651,0.0004853213,0.001661553],"genre_scores_gemma":[0.9368032,0.0001068278,0.06252593,0.00002509542,0.00001779053,0.00003512837,0.00003497694,0.00001843566,0.0004326469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009003059,"threshold_uncertainty_score":0.004761398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661399641131926,"score_gpt":0.2420673610608594,"score_spread":0.2254533646495402,"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."}}