{"id":"W3104009600","doi":"10.1103/physrevapplied.4.024012","title":"Controlling Quantum Devices with Nonlinear Hardware","year":2015,"lang":"en","type":"article","venue":"Physical Review Applied","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Computer science; Nonlinear system; Quantum; Imperfect; Fidelity; High fidelity; Control (management); Computer hardware; Physics; Quantum mechanics; Artificial intelligence; Telecommunications","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":[0.0007833126,0.0004269358,0.0003689813,0.0003208484,0.0005292711,0.001123365,0.000863412,0.0008920502,0.001852573],"category_scores_gemma":[0.002635457,0.0002880424,0.0003209466,0.0002442172,0.002523152,0.001766905,0.001247772,0.001119162,0.0003559384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006653621,"about_ca_system_score_gemma":0.0004917359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002872712,"about_ca_topic_score_gemma":0.0003274622,"domain_scores_codex":[0.9995291,0.000102032,0.00003043313,0.00007537864,0.0002113933,0.00005171625],"domain_scores_gemma":[0.999221,0.000376518,0.00009148471,0.000204737,0.00006946952,0.00003683009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008048038,0.00004437962,0.0001617169,0.0001442388,0.00001898443,0.00005022093,0.0001247298,0.05239233,0.03338651,0.88514,0.0007456415,0.02771073],"study_design_scores_gemma":[0.00008971307,0.0002757773,0.0001838007,0.00007438354,0.00002572885,0.0001117822,0.00004831315,0.4517578,0.06292999,0.4618215,0.02261742,0.00006388927],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08548006,0.001755768,0.8785364,0.00161379,0.0003895699,0.0001207017,0.00005092526,0.0004898185,0.03156301],"genre_scores_gemma":[0.8583405,0.00117869,0.1332074,0.0004033348,0.0001627144,0.0001279924,0.00002905926,0.00006536513,0.006484937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001852573,"threshold_uncertainty_score":0.006197453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446965013434417,"score_gpt":0.2790749514386107,"score_spread":0.2546053013042665,"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."}}