{"id":"W1520541362","doi":"10.1103/physrevlett.105.200504","title":"Hedged Maximum Likelihood Quantum State Estimation","year":2010,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Maximum likelihood; Qubit; Quantum state; Density matrix; Quantum; State (computer science); Estimation; Statistical physics; Mathematics; Applied mathematics; Statistics; Physics; Computer science; Algorithm; 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":[0.003749565,0.0005572219,0.001262571,0.0009904125,0.0005562116,0.001539729,0.001550477,0.001339333,0.002371422],"category_scores_gemma":[0.01739891,0.0006121196,0.0006672849,0.0008531985,0.001706296,0.00298447,0.002667166,0.001532729,0.0006984224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008707481,"about_ca_system_score_gemma":0.0009407681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008991222,"about_ca_topic_score_gemma":0.0007393446,"domain_scores_codex":[0.9972269,0.001460423,0.00009893586,0.0003204541,0.0007389915,0.0001543793],"domain_scores_gemma":[0.9943274,0.003819351,0.0002821117,0.0009817309,0.0004841721,0.0001052571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003262831,0.00006787601,0.002622328,0.0002373973,0.0001609572,0.0001888455,0.000212392,0.3145213,0.004889667,0.4919932,0.004942399,0.1798373],"study_design_scores_gemma":[0.00001698586,0.00001747288,0.0002167497,0.00001757512,0.000007585361,0.00005263341,0.000009502105,0.861962,0.001174805,0.1352666,0.001237022,0.00002104514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006310019,0.0003098223,0.9910539,0.0002787817,0.00003105401,0.00001925042,0.000064996,0.0002485988,0.001683666],"genre_scores_gemma":[0.5017183,0.0005001921,0.4918103,0.0005289685,0.0001832762,0.0001473421,0.0005100589,0.0002214823,0.004380113],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003749565,"threshold_uncertainty_score":0.01982981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009004745399496052,"score_gpt":0.2663315748423913,"score_spread":0.2573268294428953,"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."}}