{"id":"W4386794181","doi":"10.48550/arxiv.2309.07220","title":"Evading noise in multiparameter quantum metrology with indefinite causal order","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"Engineering and Physical Sciences Research Council","keywords":"Superposition principle; Quantum metrology; Noise (video); Dephasing; Unitary state; Statistical physics; Dimension (graph theory); Metrology; Quantum; Quantum noise; Mathematics; Physics; Control theory (sociology); Quantum mechanics; Computer science; Quantum network; Control (management); Quantum information; Artificial intelligence","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":[0.004998707,0.0006256707,0.0007130539,0.0007923466,0.000806932,0.001523102,0.000996414,0.0009937561,0.0007669832],"category_scores_gemma":[0.02247544,0.0005142589,0.0003451902,0.0008823019,0.004804561,0.003576584,0.002507786,0.00187644,0.000157179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261169,"about_ca_system_score_gemma":0.0009539348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004876693,"about_ca_topic_score_gemma":0.0006014847,"domain_scores_codex":[0.9958884,0.002091567,0.000155766,0.0004888985,0.001168473,0.0002069863],"domain_scores_gemma":[0.98487,0.009588517,0.001602669,0.003231721,0.0004251648,0.000281946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005783999,0.00006416266,0.002217565,0.0001062912,0.00002998943,0.0001403806,0.0004169663,0.1255295,0.01784108,0.815563,0.0003130062,0.03719974],"study_design_scores_gemma":[0.00003224913,0.00009523089,0.0004797757,0.00003415184,0.00001108803,0.00009094034,0.00003686459,0.673323,0.01275987,0.3121742,0.0009099778,0.00005257615],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.152631,0.0003555194,0.8418829,0.0005916076,0.00004461562,0.000041531,0.00006838846,0.0002736418,0.004110844],"genre_scores_gemma":[0.8916351,0.000180028,0.1069156,0.00009267858,0.00004895672,0.00005647957,0.00003933749,0.00005064259,0.0009812096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004998707,"threshold_uncertainty_score":0.02643603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08817689448317766,"score_gpt":0.2020352106284691,"score_spread":0.1138583161452914,"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."}}