{"id":"W2964113733","doi":"10.26421/qic18.1-2-6","title":"Magic state distillation at intermediate size","year":2018,"lang":"en","type":"article","venue":"Quantum Information and Computation","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut quantique; Université de Sherbrooke","funders":"","keywords":"MAGIC (telescope); Qubit; BCH code; Computer science; Error detection and correction; State (computer science); Algorithm; Mathematics; Discrete mathematics; Quantum; Quantum mechanics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001532416,0.0004305179,0.0008103279,0.0006938927,0.0008641684,0.0008569007,0.00159466,0.0008938157,0.002544676],"category_scores_gemma":[0.007739053,0.0002665981,0.0003000322,0.0006833271,0.003312747,0.002705626,0.002050767,0.002502932,0.0002968996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326868,"about_ca_system_score_gemma":0.0008315389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004420965,"about_ca_topic_score_gemma":0.0004073346,"domain_scores_codex":[0.9988542,0.0002671721,0.00004176338,0.0001589975,0.0005182296,0.0001596791],"domain_scores_gemma":[0.994789,0.00350649,0.0003643957,0.0008197794,0.0003505325,0.0001697824],"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":[0.0005146809,0.0001511007,0.0009936228,0.0001786391,0.00004125791,0.0001872061,0.0002511649,0.1182338,0.03305135,0.8236713,0.001893279,0.02083253],"study_design_scores_gemma":[0.00006986393,0.0001657194,0.0003143267,0.00002729005,0.00002047985,0.0001126158,0.00002369459,0.6829125,0.04303699,0.2707371,0.002535739,0.00004373916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4277978,0.001175085,0.5393936,0.001534544,0.0001284226,0.0001278329,0.0002008896,0.0009139277,0.02872802],"genre_scores_gemma":[0.9416426,0.0002361444,0.05552441,0.0001031583,0.0000421239,0.00009955121,0.00008261794,0.00005433948,0.002215044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002544676,"threshold_uncertainty_score":0.009627163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00670973982452309,"score_gpt":0.2338286375290081,"score_spread":0.2271188977044851,"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."}}