{"id":"W4247896598","doi":"10.18130/v3t095","title":"Calculating Long Range Two Photon Visibility for Entanglement Swapping Based Quantum Communication via Sampling","year":2015,"lang":"en","type":"dissertation","venue":"Libra","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National University of Sciences and Technology; Alberta Innovates - Technology Futures","keywords":"Visibility; Quantum entanglement; Quantum information science; Photon; Computer science; Sampling (signal processing); Quantum; Monte Carlo method; Physics; Telecommunications; Optics; Mathematics; Quantum mechanics; Statistics; Detector","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001804632,0.0004020176,0.0006651886,0.0005602171,0.0006330889,0.0009093427,0.001224164,0.0006977448,0.002044555],"category_scores_gemma":[0.005041569,0.0003984508,0.0005665263,0.0005649143,0.001507862,0.00185499,0.001106939,0.001198407,0.0001921617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272852,"about_ca_system_score_gemma":0.001320065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658055,"about_ca_topic_score_gemma":0.001693288,"domain_scores_codex":[0.9993861,0.0002309978,0.00002162177,0.000054916,0.0002408992,0.00006559285],"domain_scores_gemma":[0.9975809,0.001823348,0.0001489111,0.0002220583,0.0001400514,0.00008473247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000666108,0.00006187465,0.001062957,0.00006644287,0.00002549692,0.00009644771,0.0001111202,0.6601301,0.004148201,0.3231944,0.0002267135,0.0108096],"study_design_scores_gemma":[0.000003717972,0.000008002205,0.00004617206,0.000003253923,0.000001932711,0.00001111624,0.000007138994,0.9831517,0.000792147,0.01585358,0.00011688,0.000004318331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06509315,0.00009664187,0.9303919,0.0001052393,0.00002199198,0.0000501678,0.00002053537,0.00009167329,0.004128754],"genre_scores_gemma":[0.7880344,0.0002152227,0.2091587,0.00006932764,0.00002133163,0.0001361387,0.00006864002,0.0001049204,0.00219138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002044555,"threshold_uncertainty_score":0.009543955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04234832816052814,"score_gpt":0.33464599002739,"score_spread":0.2922976618668619,"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."}}