{"id":"W4312108358","doi":"10.48550/arxiv.2212.11144","title":"QuOCS: The Quantum Optimal Control Suite","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Center for Integrated Quantum Science and Technology; QuantERA; Women's College Research Institute; Deutsche Forschungsgemeinschaft; European Commission; Bundesministerium für Bildung und Forschung; Baden-Württemberg Stiftung","keywords":"Toolbox; Computer science; Suite; Qubit; Software; Quantum; Quantum computer; Optimal control; Computational science; Quantum technology; Focus (optics); License; Theoretical computer science; Computer engineering; Mathematical optimization; Open quantum system; Physics; Mathematics; Programming language; Operating system; Quantum mechanics","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":[0.002032308,0.001905296,0.001400044,0.001145939,0.0005943389,0.001690057,0.002486356,0.001657996,0.04713541],"category_scores_gemma":[0.00789474,0.0008376469,0.001180378,0.001125207,0.0008030511,0.001321261,0.001687888,0.002381304,0.01484344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008874722,"about_ca_system_score_gemma":0.00217611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003984516,"about_ca_topic_score_gemma":0.004226236,"domain_scores_codex":[0.9987478,0.0003300099,0.0001036592,0.0001611157,0.0005162994,0.0001410667],"domain_scores_gemma":[0.9975151,0.001481124,0.0001152336,0.0003115666,0.00046307,0.0001139353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005378234,0.000301287,0.00209716,0.002670158,0.0002336158,0.0003620675,0.0002490388,0.3030296,0.006392389,0.08717851,0.3926754,0.2042731],"study_design_scores_gemma":[0.000339002,0.0001007419,0.0007196754,0.0001270059,0.00003258156,0.0001320413,0.00003183525,0.769995,0.008732448,0.07010102,0.1495935,0.00009508566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.005254608,0.0008980084,0.6944904,0.000746975,0.0003465556,0.0003529974,0.01782308,0.25526,0.02482747],"genre_scores_gemma":[0.18239,0.002139896,0.6544904,0.00149343,0.00027639,0.003007916,0.05266254,0.08506709,0.01847235],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04713541,"threshold_uncertainty_score":0.1576837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05834906737163335,"score_gpt":0.2055553498766376,"score_spread":0.1472062825050043,"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."}}