{"id":"W3047180424","doi":"10.1103/physrevresearch.3.023092","title":"Quantum-optimal-control-inspired ansatz for variational quantum algorithms","year":2021,"lang":"en","type":"article","venue":"Physical Review Research","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Université de Sherbrooke","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Ansatz; Quantum; Quantum algorithm; Quantum control; Algorithm; Optimal control; Computer science; Mathematics; Physics; Mathematical optimization; Quantum mechanics; Mathematical physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002307126,0.0002728048,0.0006579069,0.0001182233,0.0005337936,0.0003011658,0.001340913,0.00005909599,0.00002573103],"category_scores_gemma":[0.001345599,0.000226449,0.0004369069,0.001518011,0.0001285123,0.0002609944,0.00049495,0.000711248,0.0001521252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007738453,"about_ca_system_score_gemma":0.0006027247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000193787,"about_ca_topic_score_gemma":0.000001348277,"domain_scores_codex":[0.9953235,0.0007733423,0.000456222,0.001036956,0.001412104,0.0009978164],"domain_scores_gemma":[0.9951233,0.00225915,0.0001089951,0.001041606,0.001154631,0.0003123233],"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":[0.00002573966,0.001065082,0.00001568925,0.001650493,0.0001526471,0.0001179564,0.0003346697,0.002335364,0.003263621,0.7073588,0.01235528,0.2713247],"study_design_scores_gemma":[0.0005649556,0.0002374696,0.0002470218,0.0005691225,0.00001726839,0.00002640484,0.000004441235,0.8981951,0.0003527285,0.05951765,0.0400096,0.0002582442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004001839,0.02218909,0.953195,0.0186715,0.0003904238,0.001029763,0.00005266006,0.0002140477,0.0002557102],"genre_scores_gemma":[0.6356962,0.01008549,0.3384047,0.007021541,0.005937994,0.001530053,0.0001940641,0.0002033804,0.0009265627],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8958597,"threshold_uncertainty_score":0.9234322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05539146404889738,"score_gpt":0.3838026292654731,"score_spread":0.3284111652165757,"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."}}