{"id":"W2149071737","doi":"10.5555/942808.943941","title":"Simplification of Toffoli networks via templates","year":2003,"lang":"en","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Toffoli gate; Template; Computer science; Transformation (genetics); Function (biology); Logic gate; Algorithm; Arithmetic; Topology (electrical circuits); Quantum gate; Mathematics; Programming language; Combinatorics","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":[0.0001755283,0.00006955826,0.00009115972,0.00004122177,0.00005714873,0.0000293451,0.000301632,0.00003396187,0.00001231413],"category_scores_gemma":[0.00002207659,0.00005424171,0.00003726412,0.0002628801,0.00001951092,0.00006762661,0.00004602805,0.00006452473,0.000007758856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004616783,"about_ca_system_score_gemma":0.00001510202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001292449,"about_ca_topic_score_gemma":0.000001114471,"domain_scores_codex":[0.9993827,0.00004057395,0.000153237,0.0001789671,0.00009656098,0.0001479795],"domain_scores_gemma":[0.9994296,0.0001023777,0.00006101311,0.0003253766,0.00004095807,0.00004063699],"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":[0.000001890087,0.0001105549,0.001202705,0.00001437245,0.00002301536,0.000003631255,0.0003563583,0.1364776,0.002308872,0.5418483,0.001081539,0.3165712],"study_design_scores_gemma":[0.00007747953,0.00003712892,0.0010044,0.000005532306,0.000001320777,0.00001630329,0.000003695958,0.9813624,0.004793334,0.009935246,0.002677898,0.0000852482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02130479,0.00009078308,0.9752903,0.0001805537,0.0001765942,0.00005002442,1.387088e-7,0.00009712142,0.00280971],"genre_scores_gemma":[0.89951,0.000003665764,0.1002839,0.00009763079,0.00002362522,0.000001205799,5.252709e-7,0.000003396879,0.00007612841],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8782052,"threshold_uncertainty_score":0.2211913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007926842676705171,"score_gpt":0.2177303218128314,"score_spread":0.2098034791361262,"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."}}