{"id":"W1974654785","doi":"10.1103/physrevlett.105.030406","title":"Improving Quantum State Estimation with Mutually Unbiased Bases","year":2010,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":191,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mutually unbiased bases; Quantum tomography; Qubit; Computer science; Redundancy (engineering); Quantum; Quantum state; State (computer science); Estimation; Algorithm; Statistical physics; Quantum mechanics; Physics","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":[0.0001955535,0.0001546202,0.0002091331,0.00006158392,0.00008769264,0.0001377112,0.0004505639,0.0000061248,0.00001222731],"category_scores_gemma":[0.00005761076,0.0001109179,0.0001021899,0.0004610663,0.00006920969,0.0009566806,0.00005410609,0.0002222085,0.0001348178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008617393,"about_ca_system_score_gemma":0.00003724138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002061589,"about_ca_topic_score_gemma":0.000004352934,"domain_scores_codex":[0.9989436,0.00004152391,0.0002249827,0.0002210841,0.0003384998,0.0002302537],"domain_scores_gemma":[0.9990861,0.0000987138,0.0001760952,0.000465878,0.00006167585,0.0001115266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002599763,0.0005228262,0.0003289637,0.00306575,0.00008223255,0.00003748501,0.001226475,0.001174623,0.08291077,0.1954527,0.01189476,0.7032774],"study_design_scores_gemma":[0.0003212174,0.0001040188,0.00113584,0.0004304782,0.0000257875,0.00001222784,0.000004039299,0.9903513,0.001287314,0.0009623024,0.005002983,0.0003624889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2523249,0.0001053977,0.7411442,0.005695912,0.0001116701,0.0002874497,0.000002359029,0.0002082554,0.000119796],"genre_scores_gemma":[0.9431867,0.00009488797,0.0229185,0.03368722,0.0000422582,0.00004776468,0.0000100669,0.0000108688,0.000001728601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9891767,"threshold_uncertainty_score":0.4523101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00834547951793193,"score_gpt":0.2503720327214878,"score_spread":0.2420265532035559,"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."}}