{"id":"W1989884560","doi":"10.1103/physreva.88.062109","title":"Compressing measurements in quantum dynamic parameter estimation","year":2013,"lang":"en","type":"article","venue":"Physical Review A","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Compressed sensing; Computer science; Quantum; Algorithm; Restricted isometry property; Quantum sensor; Basis (linear algebra); Merge (version control); Statistical physics; Quantum technology; Mathematics; Physics; Open quantum system; Quantum mechanics","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":[0.0001376336,0.0001437745,0.0003453318,0.0000291982,0.00004584729,0.00004640634,0.0001805128,0.00001073164,0.0002159715],"category_scores_gemma":[0.00002856842,0.0001181316,0.0001194568,0.000198159,0.00004315146,0.0002762241,0.00006230259,0.000205799,0.0006906726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006756461,"about_ca_system_score_gemma":0.00005644849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002194548,"about_ca_topic_score_gemma":5.61677e-7,"domain_scores_codex":[0.9988667,0.0001066141,0.0002376134,0.0002248797,0.0002712817,0.0002928536],"domain_scores_gemma":[0.9994034,0.0001437825,0.00007431935,0.000236793,0.00005742311,0.00008433948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004778142,0.0006259391,0.01280682,0.0004852896,0.00006300995,5.481636e-7,0.0001884167,0.0002808852,0.005622428,0.01218198,0.001030836,0.9667091],"study_design_scores_gemma":[0.0002524511,0.000007025264,0.003007046,0.0008280338,0.00001718933,1.003099e-7,0.00001775782,0.8633797,0.0002987483,0.1319024,0.000118569,0.0001709194],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956618,0.001581467,0.03466138,0.0004984822,0.00004991213,0.001090565,0.000004392974,0.00003286535,0.005462964],"genre_scores_gemma":[0.9992936,0.00005288293,0.0002169293,0.0001295731,0.00004204623,0.0001939072,0.0000206019,0.00001530081,0.00003515296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9665381,"threshold_uncertainty_score":0.8877429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05041933703691704,"score_gpt":0.3790969486774599,"score_spread":0.3286776116405428,"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."}}