{"id":"W2081214899","doi":"10.1142/s1793830914500542","title":"A combinatorial approach to quantum error correcting codes","year":2014,"lang":"en","type":"article","venue":"Discrete Mathematics Algorithms and Applications","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Calgary","funders":"","keywords":"Quantum algorithm; Quantum computer; Quantum; Quantum convolutional code; Quantum error correction; Error detection and correction; Sequence (biology); Graph","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":[0.00100317,0.0007872502,0.0007855619,0.00223993,0.001541447,0.003033555,0.002562637,0.001824826,0.006765184],"category_scores_gemma":[0.00499782,0.0004866166,0.001128007,0.002506173,0.005001724,0.004728253,0.002198947,0.003704816,0.00105511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661667,"about_ca_system_score_gemma":0.001196525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001125067,"about_ca_topic_score_gemma":0.001160751,"domain_scores_codex":[0.9986743,0.0004658836,0.00006317557,0.0002304853,0.0004388175,0.0001273104],"domain_scores_gemma":[0.9970945,0.001669035,0.0001848053,0.0005441324,0.0003671368,0.0001403153],"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":[0.000006398648,0.00001458791,0.00005884407,0.00003185459,0.000004632485,0.00002610152,0.0000302571,0.01732503,0.0005733679,0.977071,0.0005379589,0.004320027],"study_design_scores_gemma":[0.000007381333,0.00001634891,0.00004618026,0.000013341,0.000004480674,0.00004609441,0.00002275012,0.08418762,0.000496561,0.9114676,0.003680411,0.00001134097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01157057,0.0005961982,0.963025,0.001586112,0.0002506824,0.00005041404,0.0001154662,0.000136033,0.02266959],"genre_scores_gemma":[0.360164,0.00197687,0.6196125,0.001033657,0.001245233,0.0003311862,0.000267012,0.0002432524,0.01512628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006765184,"threshold_uncertainty_score":0.02263182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425455687108847,"score_gpt":0.2576466227332637,"score_spread":0.2433920658621752,"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."}}