{"id":"W4365151014","doi":"10.1103/physrevapplied.19.044034","title":"Efficient Algorithms for High-Dimensional Quantum Optimal Control of a Transmon Qubit","year":2023,"lang":"en","type":"article","venue":"Physical Review Applied","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Intelligence Advanced Research Projects Activity","keywords":"Transmon; Qubit; Computer science; Algorithm; Quantum algorithm; Quantum; Quantum Fourier transform; Benchmark (surveying); Quantum computer; Quantum gate; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001639816,0.0009821109,0.001204887,0.0004644906,0.0006409147,0.001090558,0.001350029,0.001412435,0.003430768],"category_scores_gemma":[0.004884474,0.0006616899,0.0005934255,0.0004787771,0.001667264,0.001500528,0.001938477,0.002213085,0.0006281763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207703,"about_ca_system_score_gemma":0.001905778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002586217,"about_ca_topic_score_gemma":0.00338461,"domain_scores_codex":[0.9995487,0.0001651972,0.0000208062,0.00009460404,0.0001174389,0.00005308167],"domain_scores_gemma":[0.9980941,0.001360733,0.0001282392,0.0001802978,0.000165129,0.0000714561],"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":[0.0001007936,0.00005001112,0.0003209516,0.0000874419,0.00003653254,0.00003565388,0.00005561926,0.8987164,0.001989668,0.05623455,0.001192492,0.04117994],"study_design_scores_gemma":[0.000007450083,0.00000925939,0.00002355917,0.000003777002,0.000001573444,0.000003939419,0.000003168436,0.9896909,0.0003148856,0.009753316,0.0001853624,0.000002887842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01074861,0.0002173486,0.9857325,0.0002874967,0.00004023882,0.00004993614,0.00003345164,0.0004107935,0.002479612],"genre_scores_gemma":[0.4800119,0.0003078603,0.5148972,0.0002579539,0.00007248746,0.0003822993,0.0001655183,0.0003027216,0.003602025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003430768,"threshold_uncertainty_score":0.01147699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416701969469297,"score_gpt":0.2764244080200985,"score_spread":0.2622573883254056,"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."}}