{"id":"W3081030053","doi":"10.1103/prxquantum.2.020332","title":"Protocol Discovery for the Quantum Control of Majoranas by Differentiable Programming and Natural Evolution Strategies","year":2021,"lang":"en","type":"article","venue":"PRX Quantum","topic":"Topological Materials and Phenomena","field":"Physics and Astronomy","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Waterloo","funders":"Compute Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research; Science Foundation Ireland; U.S. Department of Energy","keywords":"MAJORANA; Computer science; Quantum; Jump; Differentiable function; Physics; Topology (electrical circuits); Mathematics; Quantum mechanics; Superconductivity; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001956325,0.0005724587,0.0007614212,0.0004835201,0.0007759953,0.001388882,0.00133826,0.00116426,0.003761532],"category_scores_gemma":[0.005100162,0.0003580299,0.0007186976,0.0005579893,0.002861074,0.001993613,0.002059413,0.002672276,0.0003839947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308106,"about_ca_system_score_gemma":0.001696851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008126306,"about_ca_topic_score_gemma":0.001341879,"domain_scores_codex":[0.9992087,0.0003320068,0.00003874897,0.0001311455,0.0001852498,0.0001042349],"domain_scores_gemma":[0.9977724,0.001616666,0.0001753874,0.0001875954,0.0001221709,0.0001257351],"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":[0.0001177882,0.0001042603,0.0001962058,0.0001187654,0.00003426386,0.0001039622,0.0001149973,0.1073101,0.004400552,0.8653349,0.001673465,0.02049076],"study_design_scores_gemma":[0.00004038932,0.00006294242,0.00004980447,0.00001515053,0.000007955617,0.00002709297,0.00001598458,0.7410973,0.001286094,0.2559412,0.001439293,0.00001692758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04468857,0.0004732469,0.9360301,0.001267674,0.0001411869,0.0001483959,0.00007454024,0.0002470234,0.01692922],"genre_scores_gemma":[0.7970858,0.0005270482,0.1932648,0.0003852887,0.00008929012,0.0004918977,0.00009211237,0.000147497,0.007916245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003761532,"threshold_uncertainty_score":0.01258355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064387563016754,"score_gpt":0.2632689160193313,"score_spread":0.2526250403891638,"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."}}