{"id":"W2035292785","doi":"10.1103/physrevlett.91.120402","title":"Diagnosis, Prescription, and Prognosis of a Bell-State Filter by Quantum Process Tomography","year":2003,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Quantum decoherence; Tomography; Quantum process; Asymmetry; Physics; Quantum state; Quantum error correction; Process (computing); Quantum tomography; Residual; Quantum; Quantum mechanics; Algorithm; Computer science; Quantum computer; Statistical physics; Optics; Quantum dynamics","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":[0.0001991881,0.0001726701,0.0003096114,0.00008135158,0.00006247123,0.00006364479,0.000341058,0.000009077196,0.00001023718],"category_scores_gemma":[0.00004146818,0.0001391059,0.000165776,0.0007619765,0.0001115405,0.0006629511,0.00004026907,0.0001058736,0.00001178972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004878838,"about_ca_system_score_gemma":0.00001241199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004885851,"about_ca_topic_score_gemma":2.601582e-7,"domain_scores_codex":[0.9987272,0.0001056159,0.000345844,0.0002667005,0.0003183425,0.0002363079],"domain_scores_gemma":[0.9992545,0.0000681841,0.0001940228,0.0002895743,0.00008075546,0.0001129717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002784863,0.004244795,0.0979817,0.02883743,0.0005902489,0.00001278759,0.008183219,0.00007228013,0.01458376,0.1940463,0.5605005,0.09091919],"study_design_scores_gemma":[0.005082139,0.001747596,0.05089262,0.01810543,0.0007778432,0.00008085853,0.0001789226,0.03522064,0.1295013,0.06992759,0.6824991,0.005985955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9152808,0.02978216,0.04359886,0.009204331,0.0001458436,0.001429698,0.00002626328,0.0001969279,0.0003351347],"genre_scores_gemma":[0.9773006,0.008097203,0.0007470182,0.01349947,0.00001079414,0.0003288596,0.0000053895,0.000009076139,0.000001573574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1241187,"threshold_uncertainty_score":0.5672573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024899529206322,"score_gpt":0.2551111896230567,"score_spread":0.2448621943309935,"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."}}