{"id":"W2160877306","doi":"10.1103/physrevlett.102.090502","title":"Randomized Benchmarking and Process Tomography for Gate Errors in a Solid-State Qubit","year":2009,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":252,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Qubit; Benchmarking; Controlled NOT gate; Fidelity; Physics; Quantum decoherence; Quantum computer; Quantum mechanics; Quantum gate; Phase qubit; Algorithm; Computer science; Quantum; Telecommunications","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":[0.0005561248,0.0001660964,0.0005568566,0.0001506289,0.000058701,0.00008548501,0.0003140529,0.000007744666,0.000001459358],"category_scores_gemma":[0.00004811335,0.0001286332,0.0002769157,0.000681463,0.00007081026,0.0005548015,0.00002600095,0.0001088919,0.000003732563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007559607,"about_ca_system_score_gemma":0.00001208562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002590048,"about_ca_topic_score_gemma":8.234817e-7,"domain_scores_codex":[0.9987956,0.00008871269,0.0003784013,0.0002537178,0.0002002406,0.0002833155],"domain_scores_gemma":[0.9993549,0.0001576124,0.0001579972,0.0002032666,0.00004016392,0.00008607251],"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":[0.007255511,0.001737036,0.0009274161,0.01655393,0.0004247879,0.00005075362,0.02291745,0.00238729,0.00413909,0.3250424,0.01564309,0.6029212],"study_design_scores_gemma":[0.1041701,0.0003832928,0.003448487,0.00719966,0.0001648118,0.00001992299,0.00003502124,0.7287557,0.0006589175,0.1455801,0.007789889,0.001794172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.667152,0.009462493,0.2810008,0.03762233,0.0001567244,0.003902416,0.000004683421,0.0002453215,0.000453248],"genre_scores_gemma":[0.9462371,0.00341014,0.001996527,0.04808588,0.00003916052,0.0002203586,0.000004404218,0.000005699611,7.330798e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7263684,"threshold_uncertainty_score":0.5245511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197625183783019,"score_gpt":0.3031809108488869,"score_spread":0.2912046590110567,"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."}}