{"id":"W1914973616","doi":"10.1063/1.4936880","title":"Random matrix techniques in quantum information theory","year":2015,"lang":"en","type":"article","venue":"Journal of Mathematical Physics","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Japan Society for the Promotion of Science; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Quantum entanglement; Random matrix; Quantum information; Quantum discord; Statistical physics; Information theory; Mathematics; Quantum relative entropy; Quantum; Quantum channel; Entropy (arrow of time); Computer science; Quantum mechanics; Physics; Eigenvalues and eigenvectors; Statistics","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":[0.002610539,0.001087892,0.001835865,0.002426742,0.0006829248,0.002173148,0.001467014,0.001622609,0.004682249],"category_scores_gemma":[0.004592346,0.000527157,0.001100184,0.002473011,0.003676407,0.004680163,0.00149393,0.004307876,0.002136366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163779,"about_ca_system_score_gemma":0.001007017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004834123,"about_ca_topic_score_gemma":0.0003312894,"domain_scores_codex":[0.9977937,0.001008263,0.000130043,0.0002473202,0.0006927163,0.0001280001],"domain_scores_gemma":[0.9969723,0.002229722,0.0001616302,0.0003213169,0.0002657213,0.00004928065],"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":[0.000007243892,0.00001233363,0.0000409069,0.000445053,0.00001829319,0.00005561449,0.00007361802,0.002388608,0.0007268947,0.9801758,0.001912754,0.01414281],"study_design_scores_gemma":[0.000009420396,0.00003393904,0.0001023665,0.0001990499,0.00001330038,0.0001784804,0.00002390799,0.01068136,0.0006278025,0.9630549,0.02504635,0.00002901949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007122488,0.1986857,0.7147918,0.005406445,0.002063825,0.0001559885,0.0003253169,0.0003746676,0.07107374],"genre_scores_gemma":[0.3111558,0.2615985,0.3885735,0.003937322,0.009078607,0.0008659288,0.0005499183,0.0004467199,0.02379366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004682249,"threshold_uncertainty_score":0.01566368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792110541799957,"score_gpt":0.2749653120305433,"score_spread":0.2570442066125437,"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."}}