{"id":"W2069228520","doi":"10.1103/physreva.84.034303","title":"Experimental quantum error correction with high fidelity","year":2011,"lang":"en","type":"article","venue":"Physical Review A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"","keywords":"Computer science; High fidelity; Error detection and correction; Quantum error correction; Algorithm; Quantum; Physics; Quantum computer; Quantum mechanics","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":[0.001939649,0.0004446495,0.0005190799,0.0004701443,0.001325209,0.0007910411,0.001352135,0.001228185,0.009115936],"category_scores_gemma":[0.003360682,0.0004523831,0.0002267697,0.0009639261,0.001625699,0.001316338,0.001326613,0.002408785,0.001771565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007219545,"about_ca_system_score_gemma":0.0005330586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003353776,"about_ca_topic_score_gemma":0.0003742964,"domain_scores_codex":[0.9980394,0.0004129875,0.00009884872,0.0003140591,0.0008330509,0.0003015885],"domain_scores_gemma":[0.998175,0.0005112741,0.0001657509,0.0007936479,0.00028162,0.00007260955],"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":[0.0005233149,0.0005212568,0.001465455,0.0005837157,0.00006313127,0.0003987276,0.0005286788,0.003953978,0.8003193,0.1513117,0.00628629,0.03404448],"study_design_scores_gemma":[0.0000789629,0.0003148219,0.0005138349,0.00004123917,0.00001761271,0.000276382,0.00003681664,0.008241632,0.9625246,0.006289819,0.02161684,0.00004752919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.657509,0.003336934,0.2510622,0.002591725,0.001029355,0.0008661352,0.002297243,0.002544293,0.07876304],"genre_scores_gemma":[0.9246499,0.001211459,0.06487716,0.0003124361,0.0001112954,0.0003806402,0.0005494767,0.0002497216,0.007657871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009115936,"threshold_uncertainty_score":0.03049582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.033590636373128,"score_gpt":0.2914070696873571,"score_spread":0.2578164333142291,"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."}}