{"id":"W2949379443","doi":"10.1103/physreva.100.032319","title":"Performance analysis of <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mi>d</mml:mi></mml:math>-dimensional quantum cryptography under state-dependent diffraction","year":2019,"lang":"en","type":"article","venue":"Physical review. A/Physical review, A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Quantum key distribution; Diffraction; Communication source; Protocol (science); Computer science; Encoding (memory); Phase (matter); Key (lock); Quantum cryptography; Quantum; Algorithm; State (computer science); Symbol (formal); Compensation (psychology); Telecommunications; Physics; Optics; Quantum mechanics; Quantum information; Computer security; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007184583,0.000414859,0.0008175925,0.0002204611,0.0002120306,0.0001315109,0.000938654,0.00009657428,0.00006863757],"category_scores_gemma":[0.0001382675,0.0003886257,0.001783852,0.002274464,0.0002033289,0.001153585,0.0004210424,0.0005287268,0.001916817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001909902,"about_ca_system_score_gemma":0.0001553392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003750742,"about_ca_topic_score_gemma":0.000004771539,"domain_scores_codex":[0.9960513,0.0001886741,0.0009836766,0.0006813628,0.001520284,0.0005747147],"domain_scores_gemma":[0.9967745,0.0004206467,0.001005978,0.001300169,0.0002024857,0.0002961993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002673089,0.0004124414,0.0000519794,0.002576032,0.0004596883,0.000003943841,0.0001295062,0.0003596891,0.001701253,0.9881896,0.0004290281,0.005660131],"study_design_scores_gemma":[0.0002862834,0.0004341357,0.001793118,0.002763267,0.001005939,0.00001173247,0.00002232636,0.9816189,0.002917783,0.00499663,0.003671551,0.0004783514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872774,0.004027045,0.006651159,0.0003653574,0.0002599435,0.0002014655,0.00002432412,0.0001197162,0.001073526],"genre_scores_gemma":[0.9740967,0.02264927,0.0005262898,0.002292578,0.000114075,0.0001866865,0.00008774097,0.00003915557,0.000007519424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9831929,"threshold_uncertainty_score":0.9998566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462593077701742,"score_gpt":0.2826478564407885,"score_spread":0.2680219256637711,"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."}}