{"id":"W4410392375","doi":"10.1103/physrevresearch.7.023155","title":"Thermal state structure in the Tavis-Cummings model and rapid simulations in mesoscopic quantum ensembles","year":2025,"lang":"en","type":"article","venue":"Physical Review Research","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canada First Research Excellence Fund; Industry Canada; Canada Excellence Research Chairs, Government of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Mesoscopic physics; Physics; Quantum; Statistical physics; Thermal; State (computer science); Quantum mechanics; Quantum state; Computer science; Thermodynamics; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009219224,0.0001018886,0.0002093189,0.0002571174,0.0001260541,0.0001547384,0.0007052677,0.00002126757,0.000006524815],"category_scores_gemma":[0.0001668197,0.00006512777,0.00004795861,0.001951272,0.0001109085,0.0004131433,0.000206803,0.0004729511,0.000008060575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002129995,"about_ca_system_score_gemma":0.0001071241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000353049,"about_ca_topic_score_gemma":0.00003356359,"domain_scores_codex":[0.9983096,0.0004116889,0.0002613397,0.0002203074,0.000479885,0.0003172314],"domain_scores_gemma":[0.9988666,0.0005394093,0.00003448488,0.0004147269,0.000101424,0.00004334517],"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":[0.00001009029,0.0001646403,0.0006355637,0.001177349,0.00001134998,0.000004367396,0.004895291,0.003709091,0.001508177,0.8799479,0.001121951,0.1068142],"study_design_scores_gemma":[0.0002152353,0.00003274316,0.005592921,0.0005689039,0.000002513713,3.158883e-7,0.0000473135,0.8517107,0.0001212242,0.1394988,0.002124754,0.00008457667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703925,0.01325914,0.006314966,0.007306437,0.00002803464,0.0009695311,0.000009049778,0.00003013827,0.001690152],"genre_scores_gemma":[0.9955321,0.003078919,0.0002390304,0.001085748,0.000008504025,0.0000365773,0.000002940039,0.000002992881,0.00001321563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8480017,"threshold_uncertainty_score":0.2655833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04866289716772298,"score_gpt":0.4072040510085982,"score_spread":0.3585411538408752,"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."}}