{"id":"W2051528035","doi":"10.1103/physreva.80.062319","title":"Decoherence suppression via environment preparation","year":2009,"lang":"en","type":"article","venue":"Physical Review A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Quantum decoherence; Hamiltonian (control theory); Quantum; Tensor product; Physics; Decoherence-free subspaces; Quantum mechanics; Statistical physics; Open quantum system; Mathematics; Quantum error correction; Pure mathematics","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":[0.0006784698,0.0003219929,0.0003676798,0.0002174121,0.0005052896,0.000854758,0.0006262992,0.0005627589,0.001613057],"category_scores_gemma":[0.002049442,0.000261916,0.0003919416,0.0002383321,0.001687982,0.001972467,0.001889511,0.0009644355,0.0002444313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003515887,"about_ca_system_score_gemma":0.0005100661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002229763,"about_ca_topic_score_gemma":0.000214764,"domain_scores_codex":[0.9995795,0.0001452436,0.0000159465,0.00007370801,0.00008294995,0.0001026644],"domain_scores_gemma":[0.9985701,0.0005791235,0.0002186014,0.0004244774,0.0001036012,0.0001042325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002574457,0.0001415106,0.001423482,0.0002194394,0.00006015093,0.0003835655,0.0005375706,0.05992123,0.1190524,0.8033251,0.0006304086,0.01404774],"study_design_scores_gemma":[0.0001347511,0.000604873,0.001383199,0.00005663086,0.00007340343,0.0005744568,0.0002642943,0.5045474,0.1708379,0.3160983,0.00534535,0.00007940922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6531959,0.0005457772,0.3250665,0.0006202551,0.00005156221,0.00005431464,0.00004845739,0.0002840266,0.02013331],"genre_scores_gemma":[0.9868285,0.000142389,0.01155822,0.00003179479,0.00001196354,0.00002689562,0.00001553745,0.0000206953,0.001363904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001613057,"threshold_uncertainty_score":0.005396187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076284369839958,"score_gpt":0.2933532085093142,"score_spread":0.2825903648109147,"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."}}