{"id":"W2149740076","doi":"10.1063/1.4962340","title":"Maximum privacy without coherence, zero-error","year":2016,"lang":"en","type":"article","venue":"Journal of Mathematical Physics","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Zero (linguistics); Quantum; Coherence (philosophical gambling strategy); Dimension (graph theory); Quantum error correction; Quantum capacity; Quantum mechanics; Mathematics; Error detection and correction; Physics; Quantum information; Quantum network; Algorithm; Combinatorics; Philosophy","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":[0.004379918,0.0006647669,0.0007258388,0.0009116287,0.001240743,0.002795489,0.001501478,0.00178723,0.001731186],"category_scores_gemma":[0.02440822,0.0004666332,0.0005205453,0.001148205,0.007842992,0.008315288,0.005173551,0.003321826,0.0003220777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562812,"about_ca_system_score_gemma":0.001053651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004332687,"about_ca_topic_score_gemma":0.0003619855,"domain_scores_codex":[0.9961546,0.001597696,0.0001132623,0.0005296137,0.000981996,0.0006228097],"domain_scores_gemma":[0.9792173,0.01491285,0.001584619,0.002874739,0.0008097864,0.0006006812],"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":[0.0001365223,0.00003014424,0.0004349189,0.00006325544,0.00001875746,0.0001225064,0.0001882072,0.02242609,0.002339561,0.970193,0.000759562,0.003287485],"study_design_scores_gemma":[0.00003419871,0.00004625607,0.0001659085,0.00002170962,0.000009423103,0.0001266044,0.00004663269,0.09262334,0.002243177,0.9038976,0.0007628348,0.0000223145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4449107,0.001785808,0.4959496,0.007309432,0.0001558624,0.00006695002,0.0005204154,0.0003341884,0.0489671],"genre_scores_gemma":[0.9876558,0.0002680551,0.009943961,0.0002594009,0.0001020553,0.00003059667,0.00005345928,0.00003277338,0.001653905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004379918,"threshold_uncertainty_score":0.0231635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754296411431645,"score_gpt":0.2719338895333093,"score_spread":0.2443909254189928,"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."}}