{"id":"W4407904335","doi":"10.1103/physrevb.111.054311","title":"Spatiotemporal quenches for efficient critical ground state preparation in the two-dimensional transverse field Ising model","year":2025,"lang":"en","type":"article","venue":"Physical review. B./Physical review. B","topic":"Quantum many-body systems","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Division of Materials Sciences and Engineering; Basic Energy Sciences; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Office of Science","keywords":"Ising model; Transverse field; Ground state; Transverse plane; Physics; Statistical physics; Condensed matter physics; Field (mathematics); Quantum mechanics; Mathematics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002878604,0.0001808175,0.0003085786,0.0002363437,0.0003878688,0.0003819677,0.0003743811,0.0003877479,0.001777819],"category_scores_gemma":[0.001002809,0.0001447421,0.0002428285,0.0001488036,0.0006914368,0.000617496,0.0005468685,0.0004816589,0.00009317142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006138895,"about_ca_system_score_gemma":0.0006288388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00270092,"about_ca_topic_score_gemma":0.003083449,"domain_scores_codex":[0.9999493,0.0000184042,0.000002463327,0.000004596222,0.00001167995,0.00001342389],"domain_scores_gemma":[0.9997757,0.0001148111,0.00004460761,0.00002395396,0.00001867544,0.00002229988],"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":[0.0001689353,0.0001196988,0.001522441,0.0001442085,0.00003113165,0.0002705053,0.000183597,0.716478,0.02568485,0.2471017,0.0009797571,0.007315253],"study_design_scores_gemma":[0.0000223688,0.00003455006,0.0001839589,0.000006116457,0.000006457371,0.00001069174,0.00001656453,0.9849309,0.001229675,0.0132145,0.0003383519,0.000005872308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8819472,0.0005644339,0.1073316,0.0005624192,0.00005002408,0.00005412593,0.00008045181,0.0001984839,0.009211153],"genre_scores_gemma":[0.9917223,0.0001613789,0.007362396,0.00002386283,0.000006291682,0.00003306404,0.00002071725,0.00001849606,0.0006515075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00270092,"threshold_uncertainty_score":0.005947411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457832355152839,"score_gpt":0.4160930487526322,"score_spread":0.3915147252011038,"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."}}