{"id":"W2636034934","doi":"10.1109/tit.2018.2876280","title":"A Hypothesis Testing Approach for Communication Over Entanglement-Assisted Compound Quantum Channel","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Ministry of Education, India; National Research Foundation Singapore; National Science Foundation, United Arab Emirates; National Research Foundation","keywords":"Converse; Communication source; Decoding methods; Quantum channel; Channel (broadcasting); Quantum; Independent and identically distributed random variables; Quantum capacity; Amplitude damping channel","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":[0.000870363,0.00019714,0.0001618471,0.0005332484,0.0008816706,0.0003443613,0.0007016269,0.00009550865,0.00005534491],"category_scores_gemma":[0.00003817322,0.0001894111,0.0001464044,0.0008004683,0.0001509924,0.003175931,0.000006372778,0.0001553588,0.0001365947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007906234,"about_ca_system_score_gemma":0.00005514636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001206007,"about_ca_topic_score_gemma":0.000002687317,"domain_scores_codex":[0.9985278,0.0001215312,0.0005970097,0.0001555697,0.0003161273,0.000281981],"domain_scores_gemma":[0.99795,0.0005661365,0.0003242827,0.0006929775,0.0003731667,0.00009343313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004356888,0.0007260374,0.000008732736,0.000232375,0.0002590257,2.001384e-7,0.01722058,0.004552055,0.0004187408,0.5019988,0.003901661,0.4702461],"study_design_scores_gemma":[0.001913105,0.0004466391,0.0003486109,0.00006111046,0.00004152981,0.00002593164,0.001841903,0.948123,0.008059889,0.03384177,0.004792556,0.0005039613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001895477,0.000006815188,0.9868386,0.0001351894,0.0003128908,0.0005885787,0.00004843789,0.000399026,0.009774962],"genre_scores_gemma":[0.9080669,0.000007230592,0.08995914,0.001573976,0.00002847156,0.0002914588,0.00002308025,0.00001052688,0.00003924485],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9435709,"threshold_uncertainty_score":0.7723961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03868913772233459,"score_gpt":0.2499863663796165,"score_spread":0.2112972286572819,"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."}}