{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005330073,0.0004219055,0.000364121,0.0003186472,0.0003712695,0.0008828709,0.0008540188,0.0008895145,0.002800333],"category_scores_gemma":[0.001402804,0.0002265503,0.0003322091,0.0003512937,0.00198881,0.001521229,0.001363124,0.001221713,0.0004144433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006475096,"about_ca_system_score_gemma":0.0003248038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002842826,"about_ca_topic_score_gemma":0.0001704889,"domain_scores_codex":[0.9994028,0.00009837506,0.00003319736,0.0002063227,0.0001894429,0.00006992448],"domain_scores_gemma":[0.9996013,0.0001569701,0.00005296163,0.0001072734,0.00005586981,0.00002570108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001415553,0.0001162008,0.0003486192,0.0001910062,0.00003678216,0.0002026769,0.0002024075,0.03741165,0.1444128,0.7583039,0.001909377,0.05672305],"study_design_scores_gemma":[0.00007205294,0.0002174526,0.000340976,0.00003001741,0.00002946726,0.0001924177,0.00003225475,0.667918,0.0521934,0.2630719,0.01581074,0.00009135417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08718041,0.001587415,0.8726289,0.001355634,0.0004816322,0.0002107634,0.00009734357,0.001024926,0.03543296],"genre_scores_gemma":[0.9348998,0.0007715015,0.05722755,0.0004106687,0.000147725,0.0001923756,0.00004571557,0.00007735807,0.006227364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002800333,"threshold_uncertainty_score":0.009368062,"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."}}