{"id":"W2342198989","doi":"10.1103/physrevlett.117.010501","title":"Thresholds for Universal Concatenated Quantum Codes","year":2016,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Perimeter Institute; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; Canadian Institute for Advanced Research","keywords":"Controlled NOT gate; Qubit; Universal set; Quantum computer; Quantum error correction; Hadamard transform; Computer science; Algorithm; Physics; Topology (electrical circuits); Discrete mathematics; Quantum; Theoretical computer science; Quantum mechanics; Set (abstract data type); Mathematics; Combinatorics","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":[0.001031275,0.0003977531,0.0006901053,0.001028805,0.0009309403,0.001897872,0.001317546,0.001375253,0.004082744],"category_scores_gemma":[0.01329174,0.0003994105,0.0004384517,0.0005642088,0.0026545,0.002766218,0.003057148,0.001668786,0.000791954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001863177,"about_ca_system_score_gemma":0.0009700204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006385536,"about_ca_topic_score_gemma":0.0004753565,"domain_scores_codex":[0.99826,0.0002416154,0.0001286656,0.000333693,0.0006939693,0.0003421122],"domain_scores_gemma":[0.9929645,0.003357136,0.0009088421,0.001375395,0.0007940904,0.0005998944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000393457,0.00009894486,0.002071894,0.0002005831,0.00003483428,0.0003000722,0.0004810568,0.1491465,0.06101994,0.7652039,0.001261137,0.01978763],"study_design_scores_gemma":[0.00003019105,0.0001523246,0.0006760997,0.00006919458,0.00002355119,0.000427279,0.00006676511,0.5874642,0.03856617,0.3702867,0.002169566,0.00006799505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6476435,0.0007413247,0.3143057,0.0006972152,0.0001266605,0.0001117687,0.0003203725,0.001628533,0.03442494],"genre_scores_gemma":[0.9845924,0.000118217,0.01319924,0.00007053305,0.00002240227,0.00005847797,0.00007796688,0.00008059346,0.001780191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004082744,"threshold_uncertainty_score":0.01365811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01592247019834413,"score_gpt":0.2731895369896437,"score_spread":0.2572670667912995,"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."}}