{"id":"W2103406724","doi":"10.1103/physrevlett.100.130503","title":"Effect of Local Minima on Adiabatic Quantum Optimization","year":2008,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"D-Wave Systems (Canada)","funders":"","keywords":"Adiabatic process; Adiabatic quantum computation; Maxima and minima; Physics; Quantum; Hamiltonian (control theory); Quantum computer; Exponential growth; Computation; Quantum mechanics; Quantum algorithm; Statistical physics; Mathematics; Mathematical optimization; Algorithm; Mathematical analysis","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":[0.002025422,0.0005032701,0.001191153,0.000561277,0.001162159,0.0008653034,0.0009961877,0.0007671315,0.003861962],"category_scores_gemma":[0.009486672,0.0003799369,0.0005396298,0.0003889407,0.002066822,0.002304236,0.002278555,0.001777572,0.000258355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007083997,"about_ca_system_score_gemma":0.0006884267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007299449,"about_ca_topic_score_gemma":0.0008447032,"domain_scores_codex":[0.999153,0.0003839232,0.00002935748,0.0000907879,0.0002320843,0.0001108145],"domain_scores_gemma":[0.9940941,0.004597801,0.0003320441,0.0005087332,0.0002340441,0.0002333392],"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":[0.0005090215,0.000167436,0.001786794,0.000327448,0.0001161495,0.0004101453,0.0003551728,0.614601,0.0192508,0.3353773,0.001260552,0.02583815],"study_design_scores_gemma":[0.00002355718,0.0001175534,0.0003454088,0.0000253596,0.00002379943,0.00004825471,0.00004807663,0.920713,0.007004461,0.07131556,0.0003144564,0.00002046878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6210316,0.001124234,0.3573115,0.001034966,0.00008563592,0.00008066384,0.00006152215,0.0005883278,0.01868144],"genre_scores_gemma":[0.9816428,0.0001520048,0.01704212,0.00008132416,0.00001570544,0.00005576592,0.00001677668,0.00009833329,0.0008951611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003861962,"threshold_uncertainty_score":0.01291955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008461654635145165,"score_gpt":0.2570818649109064,"score_spread":0.2486202102757612,"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."}}