{"id":"W4400535420","doi":"10.1103/physrevx.14.031006","title":"Certifying Ground-State Properties of Many-Body Systems","year":2024,"lang":"en","type":"article","venue":"Physical Review X","topic":"Quantum many-body systems","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"HORIZON EUROPE Marie Sklodowska-Curie Actions; H2020 European Research Council; Horizon 2020 Framework Programme; Institut Périmètre de physique théorique; FUNDACIÓ Privada MIR-PUIG; Hopkins Population Center, Johns Hopkins University; Generalitat de Catalunya; Departament d'Innovació, Universitats i Empresa, Generalitat de Catalunya; H2020 Marie Skłodowska-Curie Actions; Fundación Carmen y Severo Ochoa; National Natural Science Foundation of China; National Research Foundation Singapore; Ontario Ministry of Research, Innovation and Science; Agence Nationale de la Recherche; Fundación Cellex; Providence Health Care; Government of Canada; National Science Foundation","keywords":"Ground state; Observable; Scalability; Semidefinite programming; Relaxation (psychology); Upper and lower bounds; Statistical physics; State (computer science); Energy (signal processing); Computer science; Quantum; Applied mathematics; Mathematics; Mathematical optimization; Quantum mechanics; Physics; Algorithm; Mathematical analysis","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":[0.00027073,0.0002421781,0.0006733743,0.00004460272,0.00005202074,0.0001104957,0.0002466534,0.00001341758,0.0000487545],"category_scores_gemma":[0.00001114219,0.0001711033,0.000316291,0.0003179014,0.00007866085,0.0002395864,0.00008311297,0.0001949306,0.0006575936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003508186,"about_ca_system_score_gemma":0.00006500049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004135277,"about_ca_topic_score_gemma":1.526071e-7,"domain_scores_codex":[0.998369,0.0001329685,0.000516224,0.0003475603,0.0003338881,0.0003004055],"domain_scores_gemma":[0.999239,0.00006469347,0.000135903,0.0003945906,0.00007810398,0.00008774598],"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":[0.000005319871,0.0001633738,0.0002638073,0.02426146,0.000259109,0.000005924826,0.000478542,0.00002080394,0.02499561,0.9415274,0.001000368,0.007018232],"study_design_scores_gemma":[0.0006929651,0.000368797,0.000737522,0.1505071,0.001276706,0.00002232738,0.0007148323,0.5767035,0.02356529,0.03125594,0.2118164,0.002338601],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8215749,0.1621342,0.003938226,0.0003812045,0.001088101,0.001554992,0.0000570012,0.0002206927,0.009050611],"genre_scores_gemma":[0.9979073,0.0004773671,0.000006571866,0.00002496139,0.0006766297,0.0001845825,0.000009363848,0.00004501443,0.0006682054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9102715,"threshold_uncertainty_score":0.8452255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0370050511996544,"score_gpt":0.3043178623325699,"score_spread":0.2673128111329154,"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."}}