{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007995036,0.0005099912,0.0005250338,0.0003629684,0.000552021,0.0006251024,0.000627769,0.001040359,0.001075382],"category_scores_gemma":[0.001671014,0.000337413,0.0002715999,0.0004037593,0.0013253,0.001481571,0.000849626,0.0007992884,0.0003933217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004698866,"about_ca_system_score_gemma":0.0003041272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002183068,"about_ca_topic_score_gemma":0.0003069844,"domain_scores_codex":[0.9989707,0.0001943107,0.00004295347,0.0002181434,0.0005035334,0.0000703107],"domain_scores_gemma":[0.9993879,0.0002560739,0.0001160487,0.0001114743,0.0001016616,0.00002689759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002774749,0.0001030727,0.0008266571,0.0003813705,0.00002760031,0.0002129857,0.0002527806,0.009208193,0.860765,0.07154424,0.0004985373,0.05590214],"study_design_scores_gemma":[0.00005380013,0.000590674,0.0005635614,0.00006243007,0.00004484597,0.0005016098,0.0000711449,0.1405969,0.820873,0.01753124,0.01903359,0.00007716934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.193995,0.004930795,0.7826926,0.0009151924,0.0004823857,0.0001532009,0.00005619889,0.0006161084,0.01615869],"genre_scores_gemma":[0.8589565,0.001747697,0.1360838,0.0003454981,0.000155966,0.00009064473,0.00005318032,0.00006204366,0.002504756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001075382,"threshold_uncertainty_score":0.004228234,"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."}}