{"id":"W2148541058","doi":"10.1109/pacrim.2009.5291282","title":"Generating Toffoli networks from ESOP expressions","year":2009,"lang":"en","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Toffoli gate; Computer science; Benchmark (surveying); Heuristic; Set (abstract data type); Algorithm; Cascade; Quantum gate; Theoretical computer science; Quantum; Qubit; Artificial intelligence","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":[0.0003552608,0.0005469298,0.0003188864,0.0005050595,0.0002981432,0.0004899393,0.0006516663,0.0003968401,0.003994357],"category_scores_gemma":[0.001118942,0.0002082692,0.0003650154,0.0003164644,0.0004299023,0.0008810356,0.0004416628,0.0004737611,0.0006579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006454884,"about_ca_system_score_gemma":0.0005118211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004101727,"about_ca_topic_score_gemma":0.0008123527,"domain_scores_codex":[0.9997539,0.00004899926,0.00001433171,0.00004247385,0.0001123114,0.0000280758],"domain_scores_gemma":[0.9997585,0.0001330298,0.00002256281,0.00003112367,0.00004840919,0.000006449716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001234792,0.00006070556,0.0003819784,0.0005115727,0.00003370955,0.0004148385,0.0001840905,0.4387989,0.06827773,0.2189663,0.003103088,0.2691436],"study_design_scores_gemma":[0.00002983304,0.00008377175,0.0001068502,0.00004288868,0.00001630061,0.0001985401,0.00005662397,0.8322734,0.0719314,0.07946407,0.01577432,0.00002196527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02560675,0.0001550244,0.9599561,0.0001177649,0.00004412057,0.0001024259,0.0001521217,0.000419074,0.01344669],"genre_scores_gemma":[0.3404396,0.0003697367,0.6513638,0.000115744,0.0000261174,0.0002990881,0.0004077471,0.0002076095,0.006770656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003994357,"threshold_uncertainty_score":0.01336241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008812621163523908,"score_gpt":0.2281127389143206,"score_spread":0.2193001177507967,"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."}}