{"id":"W1971384536","doi":"10.1038/ncomms1147","title":"Efficient quantum state tomography","year":2010,"lang":"en","type":"article","venue":"Nature Communications","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":684,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Perimeter Institute","funders":"Army Research Office; Australian Research Council; Natural Sciences and Engineering Research Council of Canada; Universität Ulm; Fonds Québécois de la Recherche sur la Nature et les Technologies; Institut Périmètre de physique théorique; Industry Canada; Government of Canada","keywords":"Quantum tomography; Quantum; Quantum state; Quantum computer; Tomography; Computer science; Quantum process; Quantum algorithm; Quantum system; Ansatz; Statistical physics; Algorithm; Mathematics; Quantum mechanics; Physics; Quantum dynamics","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":[0.0006822463,0.0005212009,0.0007794686,0.0005471874,0.0007656449,0.001742341,0.0008787346,0.001170014,0.01369428],"category_scores_gemma":[0.002257125,0.0004534402,0.0004027071,0.001049917,0.001743351,0.002967963,0.002458591,0.00218035,0.001769296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008054859,"about_ca_system_score_gemma":0.0007519521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003351188,"about_ca_topic_score_gemma":0.0005498868,"domain_scores_codex":[0.9992363,0.0002106045,0.00002223723,0.0001086437,0.0003403601,0.00008183264],"domain_scores_gemma":[0.9990264,0.0004763874,0.00005585589,0.0003066112,0.00008311265,0.00005164875],"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":[0.0001149104,0.00005080175,0.0002195367,0.00006766766,0.00001767775,0.00005020453,0.00007558129,0.010466,0.01087099,0.9443799,0.003496162,0.03019057],"study_design_scores_gemma":[0.00004018304,0.00004268721,0.0003484897,0.00002778867,0.00001825619,0.0001458982,0.00004033362,0.2561935,0.01858889,0.7129843,0.0115414,0.000028236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07488194,0.001016676,0.7943303,0.003760005,0.0004481364,0.0001539833,0.0006309986,0.001252527,0.1235254],"genre_scores_gemma":[0.8292537,0.0006740488,0.1336159,0.0004750706,0.0001985529,0.0001500267,0.0004005553,0.0002659692,0.0349662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01369428,"threshold_uncertainty_score":0.04581195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009612907585604975,"score_gpt":0.2681740433843954,"score_spread":0.2585611357987905,"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."}}