{"id":"W2054324003","doi":"10.1126/science.1145699","title":"Symmetrized Characterization of Noisy Quantum Processes","year":2007,"lang":"en","type":"article","venue":"Science","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":270,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"","keywords":"Quantum error correction; Noise (video); Quantum computer; Quantum decoherence; Quantum; Computer science; Quantum operation; Open quantum system; Symmetrization; Quantum system; Characterization (materials science); Physics; Statistical physics; Quantum mechanics; Mathematics; 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":[0.001188013,0.00006195259,0.00008129163,0.0005443086,0.0001378168,0.000107882,0.0009618528,0.00002093344,0.000007260207],"category_scores_gemma":[0.0001882759,0.0000523702,0.00002437742,0.005428321,0.0002529277,0.001837211,0.00009867147,0.0000418318,0.00002655774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001295329,"about_ca_system_score_gemma":0.0002102428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002349511,"about_ca_topic_score_gemma":0.000001040726,"domain_scores_codex":[0.998795,0.000006625104,0.0002580624,0.0001743885,0.0005293891,0.0002365732],"domain_scores_gemma":[0.9990222,0.00003993826,0.0001697009,0.0002792499,0.0004038397,0.00008504235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009168928,0.00007191784,0.002469986,0.00006876844,0.000002350086,0.000001204813,0.001861178,0.000002365454,0.5288131,0.4348509,0.00001335162,0.0318357],"study_design_scores_gemma":[0.0003782868,0.0001395036,0.1581486,0.000044597,0.00000244362,0.00001225233,0.00014114,0.01838816,0.8125103,0.004790518,0.005190169,0.0002541208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4149991,0.00001261623,0.5825119,0.00009694996,0.0002263673,0.00006553529,8.506277e-7,0.00006778734,0.002018858],"genre_scores_gemma":[0.9941405,0.00001227395,0.005611653,0.0002038055,0.00001241458,0.000001683891,0.00000117169,0.000001602036,0.00001487509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5791414,"threshold_uncertainty_score":0.2608128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009685594537232509,"score_gpt":0.2465450672931674,"score_spread":0.2368594727559349,"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."}}