{"id":"W3007806070","doi":"10.1088/2058-9565/ab98a5","title":"Towards scalable bosonic quantum error correction","year":2020,"lang":"en","type":"article","venue":"Quantum Science and Technology","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Institut Périmètre de physique théorique; Industry Canada; QuantERA; Ministero dello Sviluppo Economico; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Government of Canada","keywords":"Qubit; Error detection and correction; Scalability; Quantum error correction; Decoding methods; Quantum computer; Quantum decoherence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000542286,0.0004982983,0.0007207037,0.0004652101,0.0003607743,0.001122773,0.001301944,0.0009751892,0.004896218],"category_scores_gemma":[0.002054537,0.0002889313,0.0003156119,0.0006811575,0.001496134,0.001766641,0.001483347,0.001850289,0.001110934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007906345,"about_ca_system_score_gemma":0.0008403322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007590519,"about_ca_topic_score_gemma":0.0009475775,"domain_scores_codex":[0.9993669,0.00009770174,0.00002485368,0.0000840042,0.0003437042,0.00008279481],"domain_scores_gemma":[0.9992046,0.000304287,0.00006438061,0.0002013354,0.0001800693,0.00004537974],"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":[0.000206862,0.0001685602,0.0004710058,0.0006341404,0.00009682829,0.0002372235,0.0001880077,0.1605245,0.1661625,0.5841653,0.006167737,0.08097734],"study_design_scores_gemma":[0.00007029837,0.0001257858,0.0001878424,0.00008037755,0.0000290848,0.00008348639,0.00004771996,0.7504228,0.06849246,0.1611899,0.01924116,0.00002900203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1618425,0.004547778,0.7874518,0.003860696,0.0008016426,0.0002036789,0.0002616613,0.004213613,0.03681679],"genre_scores_gemma":[0.8353545,0.002106697,0.1560751,0.0004343843,0.0002119127,0.0001446899,0.0002049707,0.0001958769,0.005271866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004896218,"threshold_uncertainty_score":0.01637948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401739993106949,"score_gpt":0.2453845032057587,"score_spread":0.2313671032746892,"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."}}