{"id":"W3047757000","doi":"10.1103/physrevlett.125.240405","title":"Symmetry Breaking and Error Correction in Open Quantum Systems","year":2020,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Advanced Scientific Computing Research; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Multidisciplinary University Research Initiative; Air Force Office of Scientific Research; National Institute of Standards and Technology; U.S. Department of Energy; National Science Foundation","keywords":"Symmetry (geometry); Quantum; Explicit symmetry breaking; Physics; Symmetry breaking; Quantum mechanics; Theoretical physics; Spontaneous symmetry breaking; Mathematics; Geometry","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":[0.001028108,0.0002712353,0.0003883394,0.0005252993,0.0008293023,0.001278617,0.0008840566,0.0008025346,0.003141656],"category_scores_gemma":[0.005753811,0.000177779,0.0004201535,0.0003300445,0.002809731,0.002749081,0.00173696,0.001328852,0.0003259012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006514243,"about_ca_system_score_gemma":0.0006119014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004111943,"about_ca_topic_score_gemma":0.0002053867,"domain_scores_codex":[0.9991873,0.0002312137,0.00004233379,0.00008488259,0.0002918462,0.000162441],"domain_scores_gemma":[0.9973807,0.001199804,0.0004082727,0.0006592587,0.0002016717,0.0001502852],"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":[0.00004543649,0.0000295803,0.0002978387,0.00004381176,0.000006709498,0.0001028299,0.0002027084,0.01241976,0.006381471,0.9734834,0.0003239573,0.006662503],"study_design_scores_gemma":[0.00002276881,0.00006464322,0.0002166577,0.0000174315,0.00000430343,0.0001091426,0.00007401522,0.1073835,0.005881389,0.8851741,0.001030055,0.00002205988],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.621373,0.001058276,0.3407155,0.001442738,0.0003027912,0.0001262725,0.0001441779,0.0005696676,0.03426763],"genre_scores_gemma":[0.9872068,0.0002166927,0.01078073,0.0000700284,0.00004563976,0.00002750759,0.00002456569,0.00003459365,0.001593438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003141656,"threshold_uncertainty_score":0.01050985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03349519478763083,"score_gpt":0.3021552850788862,"score_spread":0.2686600902912553,"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."}}