{"id":"W2947234182","doi":"10.1002/que2.27","title":"Overcoming synthesizer phase noise in quantum sensing","year":2019,"lang":"en","type":"article","venue":"Quantum Engineering","topic":"Quantum optics and atomic interactions","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Phase noise; Spins; Noise (video); Frequency synthesizer; Direct digital synthesizer; Physics; Electronic engineering; Noise temperature; Quantum noise; Dephasing; Computer science; Phase-locked loop; Quantum; Engineering; Optics; Condensed matter physics; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001544079,0.0002134765,0.0002742163,0.0001804373,0.00004540091,0.00006797377,0.0001123843,0.00004367514,0.0003987935],"category_scores_gemma":[0.00001547806,0.0002268729,0.0001148706,0.0001901494,0.000009426464,0.0002159989,0.00004217061,0.0003240172,0.0002926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005998222,"about_ca_system_score_gemma":0.000030885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001476252,"about_ca_topic_score_gemma":0.000001165072,"domain_scores_codex":[0.9988612,0.00001575133,0.000324766,0.0002685065,0.0001211735,0.0004086237],"domain_scores_gemma":[0.999394,0.0001679931,0.00006748771,0.0002671161,0.0000270326,0.0000763823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007595813,0.0005112433,0.0077102,0.0001301867,0.0001884656,0.00005082815,0.001065513,0.09390592,0.5005596,0.3863427,0.0002461624,0.009213184],"study_design_scores_gemma":[0.000846569,0.00002773126,0.00051564,0.000188214,0.0000124504,0.000004251399,0.0002629839,0.9871228,0.006229151,0.0006928712,0.003779681,0.0003177121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832759,0.00002741187,0.013794,0.00006041373,0.00078456,0.0001657122,0.00001228081,0.00006437446,0.00181529],"genre_scores_gemma":[0.9990543,0.000001820527,0.0005430144,0.00001809145,0.0001822681,0.000005804241,0.00001084758,0.00004771735,0.0001361531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8932168,"threshold_uncertainty_score":0.9251609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007418668778565757,"score_gpt":0.2415217969921712,"score_spread":0.2341031282136055,"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."}}