{"id":"W2102578765","doi":"10.1088/1751-8113/40/28/s07","title":"Optimal phase estimation in quantum networks","year":2007,"lang":"en","type":"article","venue":"Journal of Physics A Mathematical and Theoretical","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo; St. Jerome's University","funders":"","keywords":"Estimation; Phase (matter); Quantum; Computer science; Statistical physics; Physics; Quantum mechanics; Engineering; Systems engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001279787,0.0001133736,0.000266903,0.00006897806,0.00004376245,0.0000849581,0.0002720417,0.00005366315,0.000006666337],"category_scores_gemma":[0.0001137367,0.00007770397,0.00007938348,0.0002188171,0.0001932684,0.0001508361,0.0001071196,0.0003611363,0.000002376468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001274595,"about_ca_system_score_gemma":0.00002194372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.564943e-7,"about_ca_topic_score_gemma":2.774458e-8,"domain_scores_codex":[0.998858,0.00004790107,0.0004659353,0.0001240773,0.0002564635,0.0002475807],"domain_scores_gemma":[0.9989636,0.000549805,0.0001455491,0.0001312654,0.00005785085,0.0001519382],"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":[0.00002572269,0.0002999629,0.000004610683,0.00001387555,0.000008315505,0.00007316675,0.0003658692,0.008669288,0.00004175143,0.9285554,0.000005680422,0.06193636],"study_design_scores_gemma":[0.0003862295,0.0001784385,0.00002682783,0.00005803794,0.000004488083,0.0001497941,0.00001058162,0.5432246,0.0001353358,0.455771,0.0000033809,0.00005133904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3918741,0.00003340973,0.6076715,0.0002580162,0.00005595767,0.00002991696,1.348552e-7,0.000008478234,0.00006851905],"genre_scores_gemma":[0.8566678,0.000003828923,0.1431313,0.00005363963,0.0001365963,2.799171e-7,1.437884e-7,0.000005413613,0.00000105535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5345553,"threshold_uncertainty_score":0.3168676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007070581204836997,"score_gpt":0.2674549856497301,"score_spread":0.2603844044448931,"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."}}