{"id":"W2103532256","doi":"10.1109/isit.2007.4557324","title":"A class of quantum LDPC codes: construction and performances under iterative decoding","year":2007,"lang":"en","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Low-density parity-check code; Computer science; Quantum convolutional code; Quantum; Binary erasure channel; Code (set theory); Raptor code; Decoding methods; Set (abstract data type); Algorithm; Theoretical computer science; Block code; Linear code; Channel (broadcasting); Channel capacity; Computer network; Physics; Error floor; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003439403,0.00009283486,0.0001316631,0.0001130522,0.0001270893,0.0000675929,0.00017191,0.00003749141,0.000004910146],"category_scores_gemma":[0.00001034204,0.00007042529,0.00002770536,0.000224191,0.000117182,0.0001987381,0.0001060773,0.000102803,0.000001509295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001058336,"about_ca_system_score_gemma":0.00002497719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000177262,"about_ca_topic_score_gemma":0.00001139123,"domain_scores_codex":[0.9992463,0.0000223898,0.0002020322,0.0002082399,0.0001380834,0.0001829548],"domain_scores_gemma":[0.9994976,0.0001635948,0.00008729229,0.0001394744,0.00005773989,0.00005429921],"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":[0.00001466071,0.00003577712,0.004271529,0.0000423157,0.00003297592,0.00000620077,0.003285952,0.002508529,0.002486625,0.6758674,0.0000603491,0.3113877],"study_design_scores_gemma":[0.000211069,0.0001189329,0.003943774,0.0000398585,0.000002679882,0.00008720852,0.0004270824,0.9807721,0.006911918,0.00714501,0.0002238091,0.0001165708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4321233,0.00005314847,0.5666893,0.0001418159,0.0001417559,0.00003295854,4.051401e-7,0.00004318796,0.0007741375],"genre_scores_gemma":[0.8337945,0.0000110739,0.1660272,0.0001051756,0.00003835963,4.128346e-7,3.543171e-7,0.00000264052,0.00002026082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9782636,"threshold_uncertainty_score":0.287186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120771721707466,"score_gpt":0.2515618188903275,"score_spread":0.2403541016732528,"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."}}