{"id":"W2017477211","doi":"10.1103/physreva.85.042311","title":"Characterizing quantum gates via randomized benchmarking","year":2012,"lang":"en","type":"article","venue":"Physical Review A","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":470,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Benchmarking; Protocol (science); Computer science; Scalability; Noise (video); Quantum; Algorithm; Theoretical computer science; Physics; Quantum mechanics; Artificial intelligence; Medicine","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":[0.006219002,0.0009188049,0.001373881,0.0009856533,0.001016197,0.002179778,0.002512089,0.001631279,0.002587603],"category_scores_gemma":[0.02680722,0.0004626909,0.0006962745,0.001281181,0.00402463,0.004751733,0.003703122,0.002514782,0.000347332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101357,"about_ca_system_score_gemma":0.00201398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009395164,"about_ca_topic_score_gemma":0.0008926462,"domain_scores_codex":[0.9924298,0.003589781,0.0003522929,0.0009343962,0.002053498,0.0006402192],"domain_scores_gemma":[0.9851432,0.008449981,0.001515701,0.003474758,0.001067566,0.0003488009],"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":[0.0001737576,0.0001330569,0.0008126738,0.0001155378,0.00005202618,0.000127206,0.0001179419,0.2460183,0.01438963,0.7172709,0.0008984145,0.01989061],"study_design_scores_gemma":[0.00003436899,0.000123082,0.0001862558,0.00002009089,0.00001247003,0.00004282482,0.0000280458,0.7131053,0.008750092,0.2767568,0.0009079171,0.0000327583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1024196,0.0002366869,0.8856244,0.0006584866,0.00007406813,0.0003202788,0.0001974898,0.0006122497,0.009856693],"genre_scores_gemma":[0.8805061,0.0002485357,0.1164496,0.0002608651,0.00006299225,0.0006185407,0.0002023352,0.0001547811,0.001496166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006219002,"threshold_uncertainty_score":0.0328896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242349675240052,"score_gpt":0.2778698790394128,"score_spread":0.2654463822870123,"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."}}