{"id":"W3028056599","doi":"10.1109/qce49297.2020.00045","title":"Digital zero noise extrapolation for quantum error mitigation","year":2020,"lang":"en","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xanadu Quantum Technologies (Canada)","funders":"","keywords":"Extrapolation; Noise (video); Quantum error correction; Quantum computer; Qubit; Quantum noise; Scaling; Error detection and correction; Quantum","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":[0.00006243955,0.0001044049,0.00009823246,0.00003429503,0.0001149782,0.0002695164,0.0003450676,0.00003688607,0.000004254804],"category_scores_gemma":[0.00006301207,0.00008902663,0.00007928825,0.0002159833,0.00001752744,0.000409483,0.00008446772,0.0000711322,0.00002752648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008030636,"about_ca_system_score_gemma":0.00003041354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001773179,"about_ca_topic_score_gemma":3.977703e-7,"domain_scores_codex":[0.9991719,0.00001207128,0.0001674757,0.0003138497,0.0001488456,0.0001858638],"domain_scores_gemma":[0.9995168,0.0000889744,0.00005727254,0.0001657097,0.00005440835,0.0001167707],"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":[0.0000274556,0.0000858388,0.0005354774,0.00008279628,0.00002866476,0.000006373514,0.002319209,0.01488173,0.005850786,0.1695059,0.009225297,0.7974504],"study_design_scores_gemma":[0.0002401414,0.0001382913,0.0005872616,0.000006268646,0.00000192694,0.000003627401,0.00001229922,0.9807288,0.0009374986,0.01104049,0.006171675,0.000131733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04510912,0.00002160717,0.9455016,0.008093025,0.000192205,0.0001848572,0.000007126276,0.0003460408,0.0005444086],"genre_scores_gemma":[0.9088444,4.58511e-7,0.08985743,0.0009825451,0.0001742249,0.000006935054,0.00001380282,0.000008657839,0.0001115625],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9658471,"threshold_uncertainty_score":0.3630401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962549543790076,"score_gpt":0.2444611465432061,"score_spread":0.2248356511053053,"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."}}