{"id":"W2183090941","doi":"","title":"Algorithm for Quantum Simulation","year":2009,"lang":"en","type":"article","venue":"Arab Journal of Basic and Applied Sciences","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Oracle; Adiabatic quantum computation; Hamiltonian (control theory); Computer science; Quantum; Algorithm; Mathematics; Theoretical computer science; Quantum computer; Applied mathematics; Statistical physics; Mathematical optimization; Physics; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008591113,0.00008959531,0.0001624251,0.0001201053,0.0003261092,0.0001810625,0.0004527006,0.00002692306,7.744632e-7],"category_scores_gemma":[0.00001961496,0.00006201507,0.00005526741,0.0002755396,0.00009783747,0.000228985,0.0000311247,0.0001027662,6.904754e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006116435,"about_ca_system_score_gemma":0.0000607367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.90164e-7,"about_ca_topic_score_gemma":6.606946e-8,"domain_scores_codex":[0.9990829,0.00001631978,0.0002562624,0.0001853279,0.0002638273,0.0001953567],"domain_scores_gemma":[0.999324,0.0002283869,0.0002189081,0.00008378523,0.00006440086,0.00008057251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000345577,0.00002438507,0.00000774833,0.000001793691,0.000003479415,0.000001719183,0.0002891896,0.03004679,0.0004063412,0.02930707,0.00005594464,0.9398521],"study_design_scores_gemma":[0.0003020903,0.0004672709,0.0007561396,0.00001774672,0.00000422959,0.00004412215,0.00004869993,0.9009956,0.0005584764,0.09603702,0.0006788804,0.00008977248],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1076447,0.0002274996,0.8905075,0.001172491,0.0001815518,0.00006847762,5.176949e-7,0.00001705588,0.0001801722],"genre_scores_gemma":[0.7493826,0.000008463941,0.250077,0.0003696816,0.0001550061,3.73591e-7,7.505175e-8,0.000001417621,0.000005407137],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9397623,"threshold_uncertainty_score":0.2528901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674681273143156,"score_gpt":0.2667647000800775,"score_spread":0.2500178873486459,"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."}}