{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002405577,0.0004605536,0.0006463677,0.00080794,0.0005308343,0.0008672019,0.0006666887,0.0007673414,0.001846685],"category_scores_gemma":[0.006291702,0.000151544,0.0002922102,0.0009855964,0.0008413101,0.001054358,0.0006606464,0.0006707333,0.000424707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002197072,"about_ca_system_score_gemma":0.001277292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002716277,"about_ca_topic_score_gemma":0.001474499,"domain_scores_codex":[0.9981539,0.0004083724,0.00008827059,0.0002463756,0.0006686148,0.0004344213],"domain_scores_gemma":[0.9934109,0.004070859,0.0007111628,0.0006734133,0.0009760633,0.0001575973],"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":[0.003636756,0.0006093872,0.01239806,0.0004801953,0.0002709443,0.0003234078,0.0002273546,0.7443473,0.1136159,0.04339772,0.003696125,0.07699674],"study_design_scores_gemma":[0.00004072792,0.0008389538,0.003022438,0.00001665286,0.00005313979,0.0001289013,0.00004899091,0.9289382,0.06297445,0.003215381,0.0006722976,0.00004992583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538768,0.001858191,0.03540819,0.0004431209,0.00004820164,0.00005484657,0.0003010882,0.0003673598,0.007642265],"genre_scores_gemma":[0.9961881,0.0003192328,0.002624606,0.00001924635,0.00001050623,0.00001142236,0.0001073952,0.00001896316,0.0007006308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002716277,"threshold_uncertainty_score":0.01594096,"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."}}