{"id":"W3204653979","doi":"10.1103/physrevlett.129.050504","title":"Constant-Overhead Quantum Error Correction with Thin Planar Connectivity","year":2022,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Qubit; Low-density parity-check code; Quantum convolutional code; Computer science; Error detection and correction; Quantum computer; Quantum error correction; Parity bit; Planar; Quantum; Topology (electrical circuits); Algorithm; Discrete mathematics; Physics; Mathematics; Quantum mechanics; Decoding methods; Combinatorics","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":[0.0003412878,0.0002109194,0.0003883994,0.00004704874,0.0004098206,0.00005688082,0.0006207442,0.000005645031,0.00001473256],"category_scores_gemma":[0.00003488388,0.000163682,0.0001353488,0.0005745358,0.00007624466,0.0001530288,0.0002208985,0.0005558941,0.00002386737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007893337,"about_ca_system_score_gemma":0.00006038761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004975429,"about_ca_topic_score_gemma":0.000003738145,"domain_scores_codex":[0.9980718,0.0003574647,0.0001836204,0.0005250009,0.0005253979,0.0003367517],"domain_scores_gemma":[0.9988946,0.0003264025,0.0001614367,0.0004955987,0.00002529638,0.00009667219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000233299,0.00271564,0.001659269,0.002692202,0.0005345561,0.001184693,0.005848692,0.2145254,0.01456398,0.136265,0.3180491,0.3017282],"study_design_scores_gemma":[0.0003078422,0.0003700609,0.0005711634,0.0004077936,0.00003049247,0.0002069023,0.00002103114,0.9768126,0.00007353297,0.00103228,0.01976958,0.0003967397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.604262,0.003376546,0.3387234,0.04942589,0.002153144,0.0009557643,0.00002550902,0.00070984,0.000367928],"genre_scores_gemma":[0.9708539,0.00009278345,0.002027743,0.02675032,0.0001682369,0.00006721504,0.000007707281,0.00001915947,0.00001289501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7622872,"threshold_uncertainty_score":0.6674758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413639307410487,"score_gpt":0.2588004234991527,"score_spread":0.2446640304250478,"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."}}