{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008002368,0.0005380746,0.0005044821,0.0005111982,0.0005836455,0.0006932017,0.001046711,0.0006649981,0.003497496],"category_scores_gemma":[0.003893598,0.0002623574,0.0003166841,0.0005311521,0.001671697,0.002072552,0.001630488,0.001836193,0.000758635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005011478,"about_ca_system_score_gemma":0.0005008438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002547012,"about_ca_topic_score_gemma":0.0003697613,"domain_scores_codex":[0.9992315,0.0001951192,0.00003637827,0.0001258604,0.0003488485,0.00006237722],"domain_scores_gemma":[0.998666,0.0007017027,0.0001021298,0.0003167095,0.0001737217,0.00003972668],"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":[0.0003503257,0.0001755168,0.001479415,0.0005333878,0.00005680176,0.0002485327,0.0004263795,0.09360238,0.1192551,0.4904172,0.004575246,0.2888798],"study_design_scores_gemma":[0.00003516229,0.0003362835,0.0004803822,0.0002372123,0.00004639816,0.0004841014,0.0001057853,0.5741289,0.1907936,0.2006374,0.03263547,0.00007926885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02697744,0.00154799,0.9585395,0.0005504395,0.0001705841,0.00005414988,0.00005517094,0.001365098,0.01073955],"genre_scores_gemma":[0.6505075,0.00199397,0.3405928,0.00065948,0.0001419956,0.0001117185,0.0001115078,0.00030221,0.005578824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003497496,"threshold_uncertainty_score":0.01170021,"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."}}