{"id":"W1888321505","doi":"10.1103/physrevlett.104.157201","title":"Measuring Renyi Entanglement Entropy in Quantum Monte Carlo Simulations","year":2010,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum many-body systems","field":"Physics and Astronomy","cited_by":433,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rényi entropy; Statistical physics; Quantum entanglement; Quantum relative entropy; Quantum Monte Carlo; Joint quantum entropy; Physics; Monte Carlo method; Entropy (arrow of time); Generalized relative entropy; Quantum mechanics; Quantum discord; Quantum; Mathematics; Principle of maximum entropy; Statistics","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":[0.003175391,0.0004298237,0.0007414698,0.001047077,0.0006584486,0.001179558,0.001293955,0.0009255384,0.0008782729],"category_scores_gemma":[0.01200896,0.0005030651,0.0004247589,0.0006893963,0.00174916,0.002201704,0.001194787,0.0009965531,0.0001497307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277233,"about_ca_system_score_gemma":0.0009579923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002396544,"about_ca_topic_score_gemma":0.00219346,"domain_scores_codex":[0.9988922,0.0005710679,0.00004533285,0.00008939744,0.0002924706,0.0001094543],"domain_scores_gemma":[0.9955628,0.002845971,0.0003148754,0.0007643897,0.0003162757,0.0001957602],"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":[0.00009296965,0.00007296764,0.002114572,0.00002771373,0.00004309675,0.00007139648,0.0001040715,0.8319026,0.005571418,0.1551616,0.0001358836,0.004701857],"study_design_scores_gemma":[0.000004489402,0.000008572314,0.0001410308,0.000002827351,0.000001950066,0.000005626871,0.000003269382,0.9865118,0.001257609,0.01197599,0.00007853801,0.000008318022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5082211,0.0002452472,0.4846267,0.0003030507,0.0000500886,0.0001253529,0.00009312246,0.000414613,0.00592068],"genre_scores_gemma":[0.9258275,0.0001376296,0.07285774,0.00004908322,0.00001994086,0.0001774031,0.00008051057,0.00008997283,0.0007601788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003175391,"threshold_uncertainty_score":0.01679331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366794518582426,"score_gpt":0.2866147097879345,"score_spread":0.2629467646021103,"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."}}