{"id":"W2075846738","doi":"10.1038/ncomms1166","title":"Experimental magic state distillation for fault-tolerant quantum computing","year":2011,"lang":"en","type":"article","venue":"Nature Communications","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Industry Canada; Government of Ontario; Canadian Institute for Advanced Research","keywords":"Computer science; Quantum computer; MAGIC (telescope); Distillation; Fault tolerance; Quantum; State (computer science); Computational science; Distributed computing; Physics; Chemistry; Algorithm; Quantum mechanics; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002875574,0.0001796685,0.0001753107,0.0001097442,0.0005837465,0.0001125132,0.00231667,0.0001185749,0.00000349732],"category_scores_gemma":[0.00005100303,0.0001638777,0.0001125223,0.000329202,0.00009905891,0.0001863057,0.0007821557,0.0005715223,0.00001442645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004201874,"about_ca_system_score_gemma":0.00004763497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002895672,"about_ca_topic_score_gemma":0.00001582162,"domain_scores_codex":[0.9987651,0.0001167396,0.0003023205,0.0003414128,0.0001758787,0.0002985192],"domain_scores_gemma":[0.9975649,0.0002833707,0.0001710171,0.001736693,0.0001553392,0.00008871998],"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":[0.00004849434,0.001177558,0.001105208,0.00004777611,0.0001319852,0.000007778138,0.03037716,0.004179945,0.004296246,0.8350093,0.003384039,0.1202345],"study_design_scores_gemma":[0.0003159073,0.00008547639,0.003703983,0.00002904317,0.000005797463,0.0000170005,0.00007331534,0.979068,0.001670545,0.006032677,0.008764796,0.0002334094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08832794,0.003782508,0.9023816,0.001705202,0.0008355944,0.0005955708,0.00002744747,0.000553493,0.00179066],"genre_scores_gemma":[0.7330845,0.00001025154,0.2665355,0.0002519779,0.00004388349,0.00001154273,0.00002471402,0.00001360151,0.00002398928],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9748881,"threshold_uncertainty_score":0.668274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03392110741825129,"score_gpt":0.3030597747880555,"score_spread":0.2691386673698042,"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."}}