{"id":"W4391175656","doi":"10.1103/physrevb.109.035156","title":"Dynamical mean-field theory for Rényi entanglement entropy and mutual information in the Hubbard model","year":2024,"lang":"en","type":"article","venue":"Physical review. B./Physical review. B","topic":"Quantum many-body systems","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Science and Engineering Research Board; Council of Scientific and Industrial Research, India; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Quantum entanglement; Mutual information; Statistical physics; Physics; Entropy (arrow of time); Hubbard model; Quantum mutual information; Quantum mechanics; Joint quantum entropy; Information theory; Quantum discord; Theoretical physics; Mathematics; Quantum; 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":[0.001248657,0.000361553,0.0006091679,0.001238692,0.0006733834,0.0009303463,0.001083807,0.0006623272,0.001375432],"category_scores_gemma":[0.002932578,0.000271574,0.0007002532,0.0005302244,0.001860864,0.002402618,0.0008847252,0.000990239,0.000108739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527454,"about_ca_system_score_gemma":0.0006386945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00211847,"about_ca_topic_score_gemma":0.001847811,"domain_scores_codex":[0.9997671,0.00009806064,0.000006905843,0.00002156353,0.00006697723,0.00003938271],"domain_scores_gemma":[0.9991042,0.0005418991,0.0001023756,0.0001171772,0.00007338027,0.00006085824],"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":[0.00003560377,0.00002475084,0.0005116073,0.00004341832,0.00002115998,0.0001030992,0.00009848251,0.1029081,0.003021692,0.8905984,0.0003701407,0.002263563],"study_design_scores_gemma":[0.000009002189,0.00001098463,0.0007169394,0.00001102577,0.00000772269,0.00003231855,0.00001585508,0.600526,0.0005582472,0.3977766,0.0003188787,0.00001641028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7152345,0.002443735,0.2604067,0.001814513,0.0001089995,0.00004926392,0.0001828172,0.0003391198,0.01942031],"genre_scores_gemma":[0.9884227,0.0004490701,0.009334639,0.00007053388,0.00004585479,0.00004055333,0.00004113974,0.00004477155,0.001550753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00211847,"threshold_uncertainty_score":0.01108253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241184409360351,"score_gpt":0.3518145567142296,"score_spread":0.3394027126206261,"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."}}