{"id":"W4386887906","doi":"10.1103/physrevresearch.5.033198","title":"Evading noise in multiparameter quantum metrology with indefinite causal order","year":2023,"lang":"en","type":"article","venue":"Physical Review Research","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia e Innovación","keywords":"Superposition principle; Dephasing; Quantum metrology; Noise (video); Unitary state; Statistical physics; Metrology; Dimension (graph theory); Quantum; Physics; Quantum noise; Mathematics; Quantum mechanics; Control theory (sociology); Computer science; Control (management); Quantum network; Quantum information; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004568642,0.0006319414,0.000742561,0.000836531,0.0008007132,0.001450042,0.001091855,0.0009296015,0.0008493306],"category_scores_gemma":[0.01916127,0.000505026,0.0003665852,0.0009089482,0.004826287,0.003541265,0.002273664,0.001617089,0.0001436014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232045,"about_ca_system_score_gemma":0.0009413636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005560041,"about_ca_topic_score_gemma":0.0006927361,"domain_scores_codex":[0.9967253,0.001605543,0.000119098,0.0004427203,0.000928195,0.0001791035],"domain_scores_gemma":[0.9876382,0.007965208,0.001408518,0.002405655,0.0003636626,0.0002187412],"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":[0.0005052934,0.00005567549,0.00196788,0.00012741,0.00003335574,0.0001390295,0.0003959837,0.1086864,0.01885949,0.8332017,0.0002428706,0.03578488],"study_design_scores_gemma":[0.00003220476,0.0001273195,0.0006271732,0.00005305405,0.00001651888,0.0001288486,0.00004966335,0.6490656,0.01737389,0.3312216,0.001235491,0.0000687388],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1321813,0.0004997185,0.862107,0.0004704262,0.0000472364,0.00004391519,0.00006133224,0.0002439473,0.004345038],"genre_scores_gemma":[0.8758558,0.0002784618,0.1226056,0.00008875966,0.00004583738,0.00005777305,0.00003550564,0.00004818518,0.0009841163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004568642,"threshold_uncertainty_score":0.02416158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1109083376818601,"score_gpt":0.4269453610280942,"score_spread":0.316037023346234,"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."}}