{"id":"W3019010777","doi":"10.1103/physrevresearch.3.013274","title":"Numerical calculations of the finite key rate for general quantum key distribution protocols","year":2021,"lang":"en","type":"article","venue":"Physical Review Research","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Huawei Technologies; Innovation, Science and Economic Development Canada","keywords":"Key (lock); Quantum key distribution; Statement (logic); Computer science; Process (computing); Applied mathematics; Distribution (mathematics); Statistical physics; Theoretical computer science; Mathematics; Calculus (dental); Quantum; Mathematical analysis; Quantum mechanics; Physics; Computer security","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":[0.004705473,0.000661956,0.0009224293,0.001256844,0.0008478622,0.00123799,0.001694248,0.001191817,0.004185597],"category_scores_gemma":[0.032874,0.0004153672,0.0006035785,0.0009144721,0.001943186,0.003342451,0.001788255,0.002633838,0.0006625796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617264,"about_ca_system_score_gemma":0.001406325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00151037,"about_ca_topic_score_gemma":0.001404303,"domain_scores_codex":[0.9987883,0.0005234244,0.00007011139,0.00009455741,0.0004129629,0.0001107381],"domain_scores_gemma":[0.9870076,0.01027945,0.0006020525,0.00119875,0.0007291071,0.0001829783],"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":[0.0001032324,0.00006026036,0.0004085728,0.0001578532,0.0000278425,0.00008468066,0.0001981122,0.449108,0.003539182,0.536623,0.0008147851,0.008874538],"study_design_scores_gemma":[0.00001669538,0.0000137651,0.00007077906,0.00002730213,0.000006082721,0.00002690462,0.00002284807,0.9226174,0.001332157,0.07530753,0.0005423352,0.00001609737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04484657,0.0004468027,0.9393054,0.0005466849,0.0001085332,0.0001008297,0.0001114951,0.00038693,0.01414674],"genre_scores_gemma":[0.7025608,0.0007471502,0.291985,0.000219238,0.00007653036,0.0003716454,0.0001707767,0.0004407564,0.003428036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004705473,"threshold_uncertainty_score":0.02488524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1124072889652326,"score_gpt":0.4477473061134484,"score_spread":0.3353400171482158,"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."}}