{"id":"W3105735460","doi":"10.22331/q-2022-07-14-766","title":"Quantum XYZ Product Codes","year":2022,"lang":"en","type":"article","venue":"Quantum","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth","funders":"QuantERA; Agence Nationale de la Recherche","keywords":"Hypergraph; Product (mathematics); Block code; Expander code; Mathematics; Code (set theory); Linear code; Discrete mathematics; Computer science; Algorithm; Decoding methods; Set (abstract data type)","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":[0.0003659581,0.0002961191,0.0002637312,0.0006107634,0.0006258416,0.001011154,0.000529916,0.0007564209,0.004682218],"category_scores_gemma":[0.001373139,0.0001592699,0.000446816,0.0005509489,0.00153187,0.001486842,0.001168944,0.0008104348,0.0006849255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006594025,"about_ca_system_score_gemma":0.0006087399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001169769,"about_ca_topic_score_gemma":0.0008675184,"domain_scores_codex":[0.9995639,0.00009248315,0.00001521039,0.00006773856,0.0001539167,0.0001067101],"domain_scores_gemma":[0.9992482,0.0002523907,0.0001264755,0.0001544127,0.000144004,0.00007444983],"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":[0.00002686732,0.000009172872,0.0003162981,0.00001965458,0.00000351912,0.0000905229,0.0000905317,0.005843539,0.001543864,0.9862652,0.0007777257,0.005013066],"study_design_scores_gemma":[0.00002678257,0.00006117053,0.0005485234,0.00002182832,0.00001031206,0.0003816594,0.0001144087,0.1122053,0.005207934,0.8719895,0.009400813,0.00003177361],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.554073,0.0009061596,0.3398188,0.001050732,0.0002650655,0.00009408116,0.0003991064,0.0003918935,0.103001],"genre_scores_gemma":[0.9482909,0.0004585501,0.0352843,0.0002280853,0.0001046448,0.00008747177,0.0002035648,0.00008844995,0.01525399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004682218,"threshold_uncertainty_score":0.01566356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132650016964475,"score_gpt":0.2366214633604379,"score_spread":0.2233564616639904,"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."}}