{"id":"W1529624360","doi":"10.1103/physrevlett.105.150401","title":"Quantum State Tomography via Compressed Sensing","year":2010,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":1124,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Quantum tomography; Quantum state; Pauli exclusion principle; Quantum; Compressed sensing; Computer science; Tomography; Dimension (graph theory); A priori and a posteriori; Rank (graph theory); POVM; Density matrix; Statistical physics; State (computer science); Algorithm; Quantum operation; Physics; Quantum mechanics; Mathematics; Open quantum system; Optics; Pure mathematics","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":[0.001288447,0.0008085527,0.0007104374,0.00118616,0.0005447047,0.001303902,0.001205665,0.001289614,0.003600064],"category_scores_gemma":[0.006285737,0.0004210346,0.0006053844,0.001121004,0.002527102,0.002947749,0.003094638,0.002707967,0.000845162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007340708,"about_ca_system_score_gemma":0.0007798861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009466783,"about_ca_topic_score_gemma":0.000973931,"domain_scores_codex":[0.9986345,0.0004230147,0.00004519883,0.0001621137,0.0006417134,0.00009347632],"domain_scores_gemma":[0.9972101,0.001481732,0.0002959108,0.000672986,0.0002438512,0.00009555164],"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":[0.00007008288,0.00005524621,0.0003376394,0.0001443246,0.00004188905,0.0001102646,0.0001481879,0.06384172,0.009449652,0.8467166,0.005170741,0.07391369],"study_design_scores_gemma":[0.00002626379,0.00004725369,0.0001688932,0.0000321831,0.000009655803,0.0001529964,0.00002089179,0.6724558,0.004757385,0.3160687,0.00622564,0.00003433317],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003820778,0.0002833199,0.9889382,0.0005632773,0.00008541536,0.00005542622,0.0001308615,0.000187934,0.005934861],"genre_scores_gemma":[0.3307733,0.001505321,0.6579008,0.0008029759,0.0006090319,0.0004137245,0.0004904551,0.0001451589,0.007359226],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003600064,"threshold_uncertainty_score":0.01204342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111093605003397,"score_gpt":0.251041044657655,"score_spread":0.2399316841573153,"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."}}