{"id":"W4390702910","doi":"10.22331/q-2024-01-10-1220","title":"Multivariate trace estimation in constant quantum depth","year":2024,"lang":"en","type":"article","venue":"Quantum","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Louisiana State University; National Science Foundation","keywords":"Algorithm; Computer science; TRACE (psycholinguistics); Quantum computer; Artificial intelligence; Quantum; Physics; Quantum mechanics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005529765,0.0002291853,0.0002340652,0.0003113038,0.0001074859,0.0003981109,0.0005960044,0.00009149994,0.00001025553],"category_scores_gemma":[0.0000765898,0.0001946188,0.00009271674,0.0008714925,0.00005767537,0.0003729628,0.0001628083,0.000421326,0.000170215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000649225,"about_ca_system_score_gemma":0.0001524415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000154782,"about_ca_topic_score_gemma":0.00002508488,"domain_scores_codex":[0.9981005,0.0001232341,0.0003858407,0.000626036,0.0003025873,0.0004617851],"domain_scores_gemma":[0.9990422,0.0003215312,0.00005727202,0.0004441911,0.00003094346,0.0001038942],"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":[0.000008070836,0.0001037795,0.00008417818,0.00009751218,0.0000186384,0.0006097024,0.00282613,0.02499487,0.0012942,0.762309,0.0005642463,0.2070898],"study_design_scores_gemma":[0.0002253553,0.00008218196,0.001277138,0.0002336452,0.00000422137,0.0001039614,0.00002840276,0.9437436,0.0002569681,0.05158537,0.002206029,0.0002531228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1242657,0.00126361,0.8691867,0.0021953,0.001568389,0.00019861,0.000005257663,0.0007361302,0.0005802644],"genre_scores_gemma":[0.9632356,0.00001517354,0.03648148,0.0001006854,0.00007259068,0.00001192405,0.00000362909,0.00002091921,0.00005801669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9187487,"threshold_uncertainty_score":0.7936325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01559188200905942,"score_gpt":0.2751254188229745,"score_spread":0.2595335368139151,"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."}}