{"id":"W2051086903","doi":"10.1103/physrevlett.102.250501","title":"All Entangled States are Useful for Channel Discrimination","year":2009,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bipartite graph; State (computer science); Channel (broadcasting); Task (project management); Computer science; Separable space; Separable state; Quantum entanglement; W state; Quantum channel; Quantum mechanics; Statistical physics; Quantum; Physics; Theoretical computer science; Mathematics; Algorithm; Quantum discord; Telecommunications; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001184633,0.000117098,0.0001971996,0.00004634854,0.00005303066,0.00007357813,0.0003641755,0.000005570893,0.000002536408],"category_scores_gemma":[0.00002298513,0.00009264944,0.0001881519,0.0002283961,0.00001697462,0.0005813208,0.00002352044,0.00005683903,0.00004515718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001748206,"about_ca_system_score_gemma":0.00000458253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.306304e-7,"about_ca_topic_score_gemma":3.072478e-7,"domain_scores_codex":[0.9992061,0.00002922431,0.0001886264,0.0001739765,0.0002006444,0.0002014171],"domain_scores_gemma":[0.9994469,0.00005387142,0.0001330826,0.0002484371,0.00004786345,0.00006990255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003193147,0.001435561,0.0001348495,0.003888413,0.0001334284,0.00001137281,0.005467453,0.000471705,0.004791455,0.4094214,0.4138462,0.1603662],"study_design_scores_gemma":[0.002418172,0.0007268866,0.03456676,0.00401247,0.0002448969,0.00001366013,0.0001384934,0.5279236,0.002856293,0.1050368,0.3200791,0.001982837],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04731737,0.001901096,0.7742357,0.1747603,0.0001986552,0.001070145,0.00001268139,0.0002890746,0.000215046],"genre_scores_gemma":[0.7720437,0.001522727,0.002048469,0.2241523,0.00008953386,0.00008834292,0.00004525395,0.000006249448,0.000003467629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7721872,"threshold_uncertainty_score":0.3778135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669508285412921,"score_gpt":0.2956514689158698,"score_spread":0.2689563860617406,"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."}}