{"id":"W3102429237","doi":"10.1088/1367-2630/18/4/043021","title":"Robust characterization of leakage errors","year":2016,"lang":"en","type":"article","venue":"New Journal of Physics","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; University of Waterloo","funders":"Army Research Office","keywords":"Physics; Quantum error correction; Quantum decoherence; Subspace topology; Quantum computer; Algorithm; Qubit; Leakage (economics); Decoherence-free subspaces; Quantum; Computer engineering; Quantum mechanics; Computer science; Artificial intelligence","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":[0.0001108654,0.00005175869,0.0001074822,0.0000723916,0.00002009312,0.00002225619,0.0003407677,0.00002001633,0.00001413761],"category_scores_gemma":[0.0000100794,0.00003292437,0.00009386552,0.0002426513,0.00002041757,0.001250152,0.00002636143,0.00004820989,0.00001311188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009089872,"about_ca_system_score_gemma":0.0000733437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.948987e-7,"about_ca_topic_score_gemma":1.6838e-7,"domain_scores_codex":[0.9993516,0.0000168326,0.0002854055,0.00004013791,0.0002299205,0.00007608221],"domain_scores_gemma":[0.9991691,0.00001842466,0.000492409,0.00013364,0.0001228791,0.00006360018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001696507,0.00008075163,0.001071554,0.0000140096,0.00003600639,0.00000240187,0.001290738,0.0000733646,0.2873916,0.1900798,0.001538511,0.5184043],"study_design_scores_gemma":[0.004862006,0.001147923,0.0607818,0.0006341628,0.00005181844,0.0001117059,0.0001300233,0.01031891,0.8059769,0.07469634,0.04065301,0.0006354047],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1261702,0.000006174803,0.8725951,0.0005872742,0.0002357349,0.0000175813,8.916197e-7,0.000008680528,0.0003783389],"genre_scores_gemma":[0.9916673,0.00003705137,0.0078893,0.0001568837,0.0001840693,1.289198e-7,4.057689e-7,0.000003454318,0.00006137324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8654971,"threshold_uncertainty_score":0.1342617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02456059516466495,"score_gpt":0.2237470207012901,"score_spread":0.1991864255366251,"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."}}