{"id":"W2144105074","doi":"10.1088/1367-2630/17/1/013042","title":"Accelerated randomized benchmarking","year":2015,"lang":"en","type":"article","venue":"New Journal of Physics","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Perimeter Institute; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Industry Canada; Canada Excellence Research Chairs, Government of Canada; National Science Foundation","keywords":"Benchmarking; Physics; Task (project management); Quantum; Homogeneous space; Computer engineering; Computer science; Systems engineering; Quantum mechanics","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":[0.0007437207,0.0001036333,0.0003573611,0.00005384102,0.00004560724,0.0001520968,0.0006256033,0.00002812316,0.000002644818],"category_scores_gemma":[0.00008776995,0.00007341728,0.000167933,0.0003071675,0.00002749448,0.0003053888,0.0001101719,0.0002594412,0.000006292142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002320424,"about_ca_system_score_gemma":0.0003301382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001116043,"about_ca_topic_score_gemma":1.645823e-7,"domain_scores_codex":[0.9989042,0.0001269955,0.000326207,0.0001044976,0.0003762702,0.0001617774],"domain_scores_gemma":[0.9988305,0.0001543523,0.0003698858,0.0001714361,0.0002575181,0.0002163165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001235292,0.000106184,0.00004517871,0.000007158694,0.0001400402,0.00009976383,0.004033245,0.05296508,0.0004851149,0.03196871,0.0194677,0.8894466],"study_design_scores_gemma":[0.06144491,0.0002623795,0.00004229064,0.00009651088,0.00002938549,0.0002311376,0.00001920193,0.7737222,0.002645877,0.1563968,0.004886328,0.0002229349],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03518023,0.0003942922,0.9619088,0.0007570737,0.001122414,0.00005069424,1.365243e-7,0.00002922896,0.0005570998],"genre_scores_gemma":[0.7682034,0.00003158693,0.227693,0.0004036653,0.003562945,3.416711e-7,4.695656e-7,0.0000124508,0.0000920837],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8892236,"threshold_uncertainty_score":0.299387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03340380963628503,"score_gpt":0.2678995359497066,"score_spread":0.2344957263134215,"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."}}