{"id":"W4408600449","doi":"10.1117/12.3043250","title":"Quantum network loss estimation with quantum enhanced precision metrology","year":2025,"lang":"en","type":"article","venue":"","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; Electronic engineering; Physics; Quantum computer; Optics; Quantum mechanics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001094811,0.0006297094,0.0004755809,0.0007797877,0.0004067132,0.001066748,0.001164451,0.0008167812,0.001860589],"category_scores_gemma":[0.00372654,0.0004058555,0.000276001,0.000829896,0.00138817,0.003238967,0.002556003,0.0009333525,0.0003860706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152796,"about_ca_system_score_gemma":0.0005622896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006924869,"about_ca_topic_score_gemma":0.00134786,"domain_scores_codex":[0.9978927,0.0006146345,0.00004354583,0.0003074599,0.001019128,0.0001226314],"domain_scores_gemma":[0.9989232,0.0003924407,0.0002561629,0.0002533234,0.0001363213,0.00003847917],"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":[0.0007814627,0.0004123,0.00774219,0.0003453826,0.0001470811,0.0002716864,0.0003788496,0.1619946,0.3473426,0.2110882,0.002897299,0.2665985],"study_design_scores_gemma":[0.00002293831,0.0001298019,0.001210371,0.00003781301,0.00001831806,0.0001846199,0.00003522564,0.8948724,0.07083359,0.03026563,0.00231985,0.00006934478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1543951,0.0004822848,0.831542,0.0007806068,0.00006198854,0.00009968039,0.0001375147,0.000930713,0.01157012],"genre_scores_gemma":[0.8531977,0.0001928263,0.1447918,0.000106706,0.00004097155,0.00004987404,0.00008463408,0.00005684486,0.001478697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001860589,"threshold_uncertainty_score":0.008364201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006020358415236246,"score_gpt":0.2426765440583547,"score_spread":0.2366561856431184,"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."}}