{"id":"W2019131952","doi":"10.1103/physrevlett.102.020505","title":"Simulating Quantum Systems Using Real Hilbert Spaces","year":2009,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"","keywords":"Hilbert space; Multipartite; POVM; Quantum state; Quantum; SIC-POVM; Quantum operation; Statistical physics; Computer science; Physics; Quantum mechanics; Open quantum system; Theoretical physics; Quantum entanglement","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":[0.002280682,0.0004827264,0.0005625045,0.0003418796,0.0004749256,0.001170487,0.001541685,0.001007705,0.001952782],"category_scores_gemma":[0.005549833,0.0004450803,0.0007865491,0.0003361311,0.002696792,0.00294833,0.00201923,0.001734157,0.000167729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008151116,"about_ca_system_score_gemma":0.0006719095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001305293,"about_ca_topic_score_gemma":0.0009252443,"domain_scores_codex":[0.9988583,0.000620735,0.00005860146,0.0001012187,0.0002694112,0.00009167576],"domain_scores_gemma":[0.9960243,0.002777172,0.0002442589,0.0006564782,0.0001526888,0.0001451372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000117824,0.00009410289,0.000829245,0.00005084493,0.00004688359,0.0001293364,0.00031929,0.7762731,0.005577092,0.2106015,0.0001741405,0.005786618],"study_design_scores_gemma":[0.00002238087,0.00004017726,0.00005102076,0.000003320217,0.000004456453,0.00001688351,0.00001829587,0.9676319,0.00221705,0.02955414,0.0004273018,0.00001303352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2846233,0.0001601767,0.7083474,0.0005627064,0.00009936555,0.0001378265,0.00008325589,0.0005113873,0.005474571],"genre_scores_gemma":[0.8738044,0.0001166048,0.1242785,0.00007452122,0.00002139284,0.0001425177,0.00005267279,0.00005329119,0.001456045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002280682,"threshold_uncertainty_score":0.01206154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02847407369617162,"score_gpt":0.321928608875959,"score_spread":0.2934545351797874,"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."}}