{"id":"W2951814536","doi":"10.22331/q-2020-04-20-254","title":"Time-dependent Hamiltonian simulation with<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:msup><mml:mi>L</mml:mi><mml:mn>1</mml:mn></mml:msup></mml:math>-norm scaling","year":2020,"lang":"lv","type":"article","venue":"Quantum","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Advanced Scientific Computing Research; U.S. Department of Defense; U.S. Department of Energy; Multidisciplinary University Research Initiative; Canadian Institute for Advanced Research; Office of Science; National Science Foundation","keywords":"Hamiltonian (control theory); Scaling; Quantum; Adiabatic quantum computation; Quantum simulator; Quantum algorithm; Exploit; Norm (philosophy)","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":[0.000586868,0.0004570475,0.0004787036,0.0003413227,0.0006556482,0.001303064,0.001322525,0.0008512601,0.02111699],"category_scores_gemma":[0.002888441,0.0002838165,0.0007797921,0.0005305315,0.000650358,0.001979179,0.001195166,0.001469036,0.003374408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009826954,"about_ca_system_score_gemma":0.001298913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004714645,"about_ca_topic_score_gemma":0.007788864,"domain_scores_codex":[0.9995443,0.0001137587,0.0000313148,0.00008870041,0.0001648842,0.00005690285],"domain_scores_gemma":[0.9986676,0.0005734763,0.00007180507,0.000375577,0.0002335256,0.00007795422],"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":[0.0002624761,0.0002724735,0.001308762,0.0001954175,0.00006639863,0.000215354,0.0002491279,0.447165,0.01461477,0.4287432,0.03118097,0.07572612],"study_design_scores_gemma":[0.00001909877,0.000009378687,0.00004613024,0.000004752184,0.00000368414,0.00001106849,0.000008096545,0.9632568,0.003593926,0.02713439,0.005905006,0.000007610136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02535961,0.0001260232,0.932798,0.001001579,0.0002203873,0.0001309957,0.001057976,0.006286075,0.03301931],"genre_scores_gemma":[0.3927953,0.0002974778,0.5742296,0.0004396938,0.00008799509,0.0005964261,0.002527939,0.001863655,0.02716198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02111699,"threshold_uncertainty_score":0.07064331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729070281128664,"score_gpt":0.2354904754487792,"score_spread":0.2181997726374925,"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."}}