{"id":"W2090447085","doi":"10.1049/el:20031202","title":"Improved quantum cost for <i>n</i> -bit Toffoli gates","year":2003,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Toffoli gate; Quantum gate; Bit (key); Arithmetic; Quantum circuit; Realization (probability); Computer science; 4-bit; Logic gate; Quantum; Quantum computer; Mathematics; Electronic engineering; Algorithm; Quantum error correction; Quantum mechanics; Physics; Engineering; CMOS","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":[0.0003860977,0.0002362831,0.0002135491,0.00008540208,0.0002670294,0.0001998279,0.0007256156,0.00006166902,0.000003807413],"category_scores_gemma":[0.00008192125,0.0002174394,0.0001516836,0.000309781,0.00003922831,0.0001462145,0.00006872438,0.0002939607,0.0000115158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009266732,"about_ca_system_score_gemma":0.0001326362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006798106,"about_ca_topic_score_gemma":0.000005857096,"domain_scores_codex":[0.9980639,0.0000715893,0.0002318638,0.000534698,0.0001735138,0.0009245003],"domain_scores_gemma":[0.9989625,0.0002457799,0.000103226,0.0005297576,0.00004787044,0.0001108427],"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":[0.00002901808,0.0001759635,0.00006928744,0.00006067978,0.0001359881,0.00002061753,0.0007005722,0.006440698,0.2258309,0.680169,0.02540346,0.06096375],"study_design_scores_gemma":[0.0009067641,0.0002981756,0.00001833611,0.00001534871,0.00001206551,0.00005931893,0.000005563426,0.6703165,0.05064516,0.01328504,0.2639206,0.0005170483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04427276,0.0007785293,0.9412055,0.01211615,0.0006561177,0.0005139822,0.000003886029,0.0002978623,0.0001552245],"genre_scores_gemma":[0.8582588,0.00005521981,0.1239041,0.01700387,0.0003619774,0.000160474,0.00001450759,0.00007727277,0.0001637691],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8173014,"threshold_uncertainty_score":0.8866922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007024623797034774,"score_gpt":0.2198301916659753,"score_spread":0.2128055678689405,"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."}}