{"id":"W4404636185","doi":"10.3390/e26121009","title":"A Hybrid Quantum Solver for the Lorenz System","year":2024,"lang":"en","type":"article","venue":"Entropy","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Lorenz system; Discretization; Solver; Nonlinear system; Applied mathematics; Quantum; Hybrid system; Euler method; Backward Euler method; Computer science; Set (abstract data type); Mathematics; Quantum system; Euler equations; Differential equation; Mathematical optimization; Mathematical analysis; Physics; Quantum mechanics; Attractor","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":[0.0006104579,0.0002843726,0.0004452924,0.0003636447,0.0006036199,0.000665848,0.00100371,0.0007631904,0.004649979],"category_scores_gemma":[0.001253391,0.0002748883,0.0004387636,0.0004026589,0.000607905,0.001012821,0.001142905,0.0008733976,0.0006395022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000599699,"about_ca_system_score_gemma":0.001249875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003823025,"about_ca_topic_score_gemma":0.003897286,"domain_scores_codex":[0.9997262,0.0000840615,0.00001051176,0.00002770622,0.000128201,0.00002329553],"domain_scores_gemma":[0.9995955,0.0001837918,0.00002740296,0.00004449183,0.0001161403,0.00003272841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005666682,0.00006190636,0.0007415127,0.0001178729,0.00005895756,0.0001156838,0.0001111687,0.6908646,0.01074181,0.2456655,0.002925515,0.04853876],"study_design_scores_gemma":[0.00001093661,0.000007637221,0.00003614291,0.000003175734,0.000001764556,0.00001288953,0.000005360695,0.9893612,0.0005967117,0.008259329,0.001699935,0.000005012922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01385262,0.000138236,0.9767494,0.0002861352,0.00006543828,0.00005202021,0.00009943321,0.0003307655,0.008426021],"genre_scores_gemma":[0.3318777,0.0002606639,0.6565104,0.0002506998,0.00008705647,0.0002555384,0.0001849712,0.0002066707,0.01036629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004649979,"threshold_uncertainty_score":0.01555568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009369817358140633,"score_gpt":0.2316548527049266,"score_spread":0.222285035346786,"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."}}