{"id":"W2664720010","doi":"10.1103/physrevlett.120.020502","title":"Quantum Transduction with Adaptive Control","year":2018,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Alfred P. Sloan Foundation; Fondation Muriel McQueen Fergusson; Air Force Office of Scientific Research; David and Lucile Packard Foundation; National Science Foundation","keywords":"Quantum decoherence; Quantum; Quantum sensor; Quantum state; Homodyne detection; Computer science; Quantum network; Physics; Quantum error correction; Quantum information science; Open quantum system; Quantum information; Topology (electrical circuits); Quantum mechanics; Quantum entanglement; Electrical engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001125003,0.000116664,0.0001981943,0.00003894467,0.00007929849,0.00004103027,0.0003146653,0.000004851882,0.00001841643],"category_scores_gemma":[0.000005476169,0.00007976457,0.000108361,0.0004426746,0.0001277297,0.0005872152,0.00001215845,0.00009141825,0.0002895692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001001589,"about_ca_system_score_gemma":0.00001371263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004399765,"about_ca_topic_score_gemma":6.880466e-7,"domain_scores_codex":[0.9991747,0.00005836654,0.0001474341,0.0001835111,0.0002528584,0.0001831133],"domain_scores_gemma":[0.9994465,0.00003291769,0.00008191787,0.0002926019,0.00007266447,0.00007343286],"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":[0.00009173259,0.0003975646,0.00009607771,0.000628655,0.0002003684,0.00001084986,0.00174763,0.00005996926,0.007078662,0.8385894,0.03444916,0.1166499],"study_design_scores_gemma":[0.004304746,0.003395405,0.005723452,0.00380276,0.0003356252,0.0001031239,0.00006409911,0.6945792,0.003505028,0.01076236,0.2713044,0.002119784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02007524,0.0006309592,0.963832,0.01422634,0.0001084455,0.0003027469,0.00000145028,0.000148981,0.0006738936],"genre_scores_gemma":[0.9519026,0.0002610995,0.002083553,0.04554449,0.0001663073,0.00003454336,0.000001093378,0.000005221377,0.00000112609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9617484,"threshold_uncertainty_score":0.3721922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311374317042833,"score_gpt":0.2518131129635071,"score_spread":0.2386993697930787,"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."}}