{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003875912,0.000778607,0.001190925,0.0009414276,0.001736915,0.003489311,0.001781034,0.002466171,0.003680208],"category_scores_gemma":[0.02201986,0.0006947612,0.0008344519,0.001351577,0.005376144,0.00903002,0.004800894,0.004351562,0.000679791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006220532,"about_ca_system_score_gemma":0.000892545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001904629,"about_ca_topic_score_gemma":0.0001473732,"domain_scores_codex":[0.9960003,0.001266341,0.0002748938,0.0008444886,0.0008767322,0.0007371695],"domain_scores_gemma":[0.9742514,0.01562912,0.001653465,0.006729684,0.0009950548,0.0007411279],"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":[0.0002809275,0.00008721565,0.0005603207,0.0001572687,0.00003360796,0.0002284029,0.0001984948,0.01907187,0.00759613,0.953532,0.001234785,0.01701909],"study_design_scores_gemma":[0.00003133789,0.00005720768,0.0001786783,0.00003950789,0.0000200042,0.0002197764,0.00006401795,0.06306944,0.009714566,0.9246224,0.001951638,0.00003137282],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1856907,0.0004634729,0.7880337,0.002479341,0.000215634,0.00008371167,0.0004537557,0.0003001976,0.02227954],"genre_scores_gemma":[0.9378325,0.000358504,0.05850488,0.0004605742,0.000143233,0.0001303351,0.0001904524,0.00009261552,0.002286794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003875912,"threshold_uncertainty_score":0.02049804,"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."}}