{"id":"W2971493483","doi":"10.1007/jhep09(2019)021","title":"Quantum error-detection at low energies","year":2019,"lang":"en","type":"article","venue":"Journal of High Energy Physics","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission; Institute for Quantum Information and Matter, California Institute of Technology; Simons Foundation Autism Research Initiative; Technische Universität München; Kavli Institute for Theoretical Physics, University of California, Santa Barbara; QuantERA; Simons Foundation; National Science Foundation","keywords":"Bethe ansatz; Toric code; Degenerate energy levels; Eigenvalues and eigenvectors; Tensor (intrinsic definition); Tensor product; Gapless playback; Ansatz; Excited state","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":[0.0006114513,0.0003581651,0.0004599285,0.0005725826,0.0007249605,0.000976262,0.0006458758,0.0008728905,0.003747393],"category_scores_gemma":[0.004080986,0.0002215353,0.0002126873,0.0002818696,0.002424159,0.002136179,0.001486301,0.001091897,0.0003472678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005929114,"about_ca_system_score_gemma":0.0004001464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004221838,"about_ca_topic_score_gemma":0.0003175218,"domain_scores_codex":[0.9993653,0.0001660471,0.00002805111,0.00009726602,0.0002383924,0.0001049993],"domain_scores_gemma":[0.9981564,0.000899588,0.00019561,0.0004013614,0.0002205216,0.0001265661],"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":[0.0001609794,0.00007278259,0.00143369,0.00009032346,0.00001795912,0.0001624248,0.0003409708,0.03835001,0.02041823,0.9291937,0.0006464303,0.00911257],"study_design_scores_gemma":[0.000023851,0.0001142442,0.0008245162,0.00003002012,0.00001117778,0.0002335407,0.0001455165,0.3175323,0.01959487,0.6603964,0.001056352,0.00003726314],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8821468,0.0001861999,0.09664166,0.000403297,0.0000713371,0.000020918,0.00007278351,0.0003493569,0.02010765],"genre_scores_gemma":[0.9926385,0.00003270316,0.00592594,0.00003114848,0.00001179362,0.00001357164,0.00002429259,0.00003063283,0.001291423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003747393,"threshold_uncertainty_score":0.01253629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006661869818167387,"score_gpt":0.2064968648408902,"score_spread":0.1998349950227228,"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."}}