{"id":"W4389348821","doi":"10.1103/physrevlett.131.230601","title":"Superposed Quantum Error Mitigation","year":2023,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Engineering and Physical Sciences Research Council; Canada First Research Excellence Fund; Austrian Science Fund; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Computer science; Noise (video); Probabilistic logic; Superposition principle; Quantum computer; Computation; Fidelity; IBM; Unitary state; Computer engineering; Quantum noise; Quantum; Algorithm; Physics; Quantum mechanics; Telecommunications; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001003201,0.0005314464,0.0006457841,0.0002714686,0.0003554713,0.0007894852,0.00160546,0.0008136414,0.003195575],"category_scores_gemma":[0.003153873,0.0002658392,0.0003740248,0.0003513265,0.001866111,0.001839533,0.002189056,0.001280971,0.0005338127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004829489,"about_ca_system_score_gemma":0.0007061367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003184437,"about_ca_topic_score_gemma":0.000409069,"domain_scores_codex":[0.9989421,0.0002590593,0.00003580801,0.0001836529,0.0004958247,0.0000835465],"domain_scores_gemma":[0.9981301,0.000810436,0.0001952567,0.0006309681,0.0001667547,0.00006652303],"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":[0.0003114331,0.0001303031,0.0007217951,0.00025471,0.0001091724,0.000260114,0.0002850088,0.2414482,0.1745405,0.4884202,0.001336101,0.09218247],"study_design_scores_gemma":[0.0000228889,0.0001683596,0.0002536652,0.00002413836,0.00002707378,0.0001417248,0.00002759707,0.8357529,0.07318429,0.08690082,0.003459949,0.00003661322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05148187,0.0001849892,0.9416088,0.0002351229,0.00006083367,0.00005119584,0.00003092772,0.0004969219,0.005849252],"genre_scores_gemma":[0.8336343,0.0002120594,0.1610987,0.0001506103,0.00005544109,0.00006504323,0.00003361352,0.0001175379,0.004632673],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003195575,"threshold_uncertainty_score":0.01069027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838621201854497,"score_gpt":0.2882338472608237,"score_spread":0.2698476352422787,"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."}}