{"id":"W2569934227","doi":"10.1145/2493252.2493256","title":"Quantum rejection sampling","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Computation Theory","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Army Research Office; Defense Advanced Research Projects Agency","keywords":"Quantum algorithm; Mathematics; Quantum state; Quantum sort; Quantum; Quantum phase estimation algorithm; Quantum operation; Algorithm; Computer science; Quantum error correction; Open quantum system; 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":[0.000349824,0.0001869717,0.0001495743,0.0002732893,0.0004942378,0.0002569465,0.0006480297,0.00007534782,0.00007981909],"category_scores_gemma":[0.00004452878,0.0001731347,0.0001163087,0.0005319823,0.00004787661,0.0004247407,0.00002130443,0.0003262809,0.0004377853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004613414,"about_ca_system_score_gemma":0.00004004097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003303901,"about_ca_topic_score_gemma":0.000001107777,"domain_scores_codex":[0.998534,0.0002139789,0.0002755456,0.0004395403,0.000258173,0.0002788234],"domain_scores_gemma":[0.9983588,0.0007322882,0.00009544045,0.0005830264,0.0001266203,0.0001037974],"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":[0.00000641958,0.00008686406,0.000002510459,0.000007453898,0.00002327714,0.000001228213,0.0005233233,0.2408008,0.0003165611,0.02256999,0.0000787183,0.7355829],"study_design_scores_gemma":[0.0002256611,0.0001273094,0.0007278292,0.00002578069,0.000005871775,0.00002980824,0.00005556949,0.6439404,0.0006249526,0.3537554,0.0002908985,0.0001904972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03752192,0.0000271967,0.9586483,0.001684601,0.0009576529,0.0002308971,0.000001674003,0.0006768296,0.0002508867],"genre_scores_gemma":[0.8137676,0.000005688055,0.1853757,0.0005640423,0.00007325308,0.00003224982,0.000003126324,0.00001731947,0.0001610601],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7762457,"threshold_uncertainty_score":0.7060227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902076159639874,"score_gpt":0.2617099762310813,"score_spread":0.2426892146346825,"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."}}