{"id":"W4399759489","doi":"10.1103/prxquantum.6.020342","title":"Finite-Size Analysis of Prepare-and-Measure and Decoy-State Quantum Key Distribution via Entropy Accumulation","year":2025,"lang":"en","type":"preprint","venue":"PRX Quantum","topic":"Quantum-Dot Cellular Automata","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; National Science Foundation","keywords":"Decoy; Measure (data warehouse); Entropy (arrow of time); Statistical physics; Quantum key distribution; Computer science; Physics; Mathematics; Data mining; Quantum mechanics; Biology; Genetics","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":[0.004734877,0.0007839361,0.001024168,0.001248397,0.000975068,0.001666709,0.002076607,0.001306665,0.003989374],"category_scores_gemma":[0.0227519,0.0005303131,0.00113228,0.0005552254,0.004623021,0.006545299,0.003356816,0.003464056,0.0003770023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003052433,"about_ca_system_score_gemma":0.001572173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000780011,"about_ca_topic_score_gemma":0.0005765208,"domain_scores_codex":[0.9977131,0.0007905102,0.00009718276,0.0003325503,0.0007426573,0.0003240189],"domain_scores_gemma":[0.9741883,0.02066493,0.001335782,0.002103395,0.001018214,0.0006893704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001398611,0.00007069074,0.0006213644,0.0001362552,0.00003296438,0.0001177631,0.0001892374,0.1515317,0.007925294,0.8314931,0.0009458787,0.006795865],"study_design_scores_gemma":[0.00001744518,0.00003582817,0.0002021719,0.000019961,0.0000109521,0.00003597835,0.00002183609,0.6847929,0.006049436,0.3081844,0.000607282,0.00002187515],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1540413,0.0005573292,0.8280335,0.001464591,0.0001032361,0.0001449243,0.0001668372,0.000420417,0.01506783],"genre_scores_gemma":[0.9414904,0.0003352442,0.0524495,0.000243563,0.0001148985,0.0004173262,0.0001444484,0.0002595377,0.00454504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004734877,"threshold_uncertainty_score":0.02504069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02390456872253113,"score_gpt":0.2853474100001608,"score_spread":0.2614428412776297,"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."}}