{"id":"W3088382764","doi":"10.1073/pnas.2006337117","title":"Generation of Thermofield Double States and Critical Ground States with a Quantum Computer","year":2019,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Quantum and electron transport phenomena","field":"Physics and Astronomy","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Basic Energy Sciences; Division of Physics; Air Force Office of Scientific Research; Intelligence Advanced Research Projects Activity; High Energy Physics; U.S. Army; Office of the Director of National Intelligence","keywords":"Physics; Quantum mechanics; Statistical physics","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":[0.0002572788,0.0002051074,0.0002293009,0.0002401576,0.0004074869,0.0005827759,0.0004380061,0.0003829211,0.002080797],"category_scores_gemma":[0.0007830846,0.0001426025,0.0001608113,0.0002010712,0.0008038503,0.0007101294,0.0006270214,0.0005258281,0.00009736688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004692721,"about_ca_system_score_gemma":0.0003813048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005197314,"about_ca_topic_score_gemma":0.0008712743,"domain_scores_codex":[0.9999026,0.00002366162,0.000005651413,0.00002105578,0.00002502809,0.00002202023],"domain_scores_gemma":[0.9996867,0.0001540828,0.00003966177,0.00005757395,0.00003105283,0.00003083464],"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":[0.0006215147,0.0004454929,0.002479465,0.0001928159,0.00007055615,0.0002422426,0.0003144775,0.3436684,0.2129338,0.4067849,0.001218784,0.03102763],"study_design_scores_gemma":[0.00005549622,0.0001673589,0.000201893,0.000009261189,0.00001207333,0.00002871453,0.00003806514,0.9195971,0.04761383,0.03159175,0.0006702091,0.00001424682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941608,0.00008090487,0.05238161,0.000212444,0.00002817935,0.00003849692,0.00003592803,0.0002460812,0.005368367],"genre_scores_gemma":[0.9848651,0.00002153028,0.01455804,0.00002131135,0.000003184672,0.00002228096,0.00001542777,0.00001578089,0.0004773529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002080797,"threshold_uncertainty_score":0.006960988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03456364215807278,"score_gpt":0.1800452392011119,"score_spread":0.1454815970430391,"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."}}