{"id":"W4402169786","doi":"10.1364/quantum.2024.qth4c.5","title":"Quantum enhanced precision metrology for quantum networks","year":2024,"lang":"en","type":"article","venue":"Quantum 2.0 Conference and Exhibition","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xanadu Quantum Technologies (Canada)","funders":"","keywords":"Quantum metrology; Metrology; Quantum; Computer science; Quantum sensor; Quantum network; Physics; Quantum computer; Quantum mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004222313,0.0002213288,0.0002508042,0.0003452772,0.0003332769,0.0006046601,0.0005641171,0.000437206,0.002576657],"category_scores_gemma":[0.00138334,0.0001144989,0.0001158391,0.0003888866,0.0008226603,0.001506448,0.0009802642,0.0005476152,0.0002996489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004627101,"about_ca_system_score_gemma":0.0003064764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001624767,"about_ca_topic_score_gemma":0.0003292239,"domain_scores_codex":[0.9996759,0.00008457389,0.000009608594,0.00004444766,0.0001523725,0.00003301955],"domain_scores_gemma":[0.9995555,0.0001775373,0.00006993891,0.0001100067,0.00006137327,0.00002555731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001106378,0.00005153083,0.0003098394,0.0001039939,0.00001175276,0.000057899,0.00006954894,0.01606933,0.1134423,0.8217456,0.001231567,0.04679609],"study_design_scores_gemma":[0.00005343868,0.0002531459,0.0004973156,0.00004858794,0.00001817092,0.0002550144,0.00003728572,0.5424638,0.1383915,0.3003564,0.01757749,0.00004780291],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1245183,0.0009247316,0.849864,0.001225756,0.0001894729,0.00006347497,0.0001100708,0.0004989821,0.02260526],"genre_scores_gemma":[0.8707631,0.0003297294,0.1252849,0.0001123379,0.00006487322,0.00004292785,0.00004154318,0.00003323046,0.003327374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002576657,"threshold_uncertainty_score":0.008619726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217338064350846,"score_gpt":0.2668214448455224,"score_spread":0.2450876384104378,"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."}}