{"id":"W2161982050","doi":"10.1109/pacrim.2007.4313212","title":"ESOP-based Toffoli Gate Cascade Generation","year":2007,"lang":"en","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":189,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Toffoli gate; Cascade; Computer science; Logic gate; Metric (unit); Heuristic; Algorithm; Quantum gate; Arithmetic; Parallel computing; Qubit; Mathematics; Artificial intelligence; Engineering; Quantum","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":[0.0004061394,0.0001015826,0.00008160316,0.00009192688,0.0001387533,0.0001119555,0.00037484,0.00004589708,0.0000159156],"category_scores_gemma":[0.00001752193,0.00008050396,0.000050082,0.0002698709,0.00001790326,0.00009168657,0.00007680712,0.0001054267,0.00004859706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001895397,"about_ca_system_score_gemma":0.00003911033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004121668,"about_ca_topic_score_gemma":0.00003020203,"domain_scores_codex":[0.9990531,0.00002437153,0.0001606041,0.00027747,0.000199047,0.0002853727],"domain_scores_gemma":[0.9994229,0.00007476617,0.00004015644,0.0003294847,0.00003861776,0.00009407502],"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":[0.000005846648,0.0001222034,0.0002613442,0.00001198521,0.00001607468,0.0001435679,0.0006099926,0.09313414,0.01731429,0.07215138,0.005205788,0.8110234],"study_design_scores_gemma":[0.0001609272,0.00004319526,0.0008366484,0.000003881947,0.000001152928,0.00001542546,0.000002094827,0.9542642,0.03839446,0.0005113083,0.005641455,0.00012531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1192001,0.00004279366,0.8768281,0.001203478,0.0003969523,0.00005667634,3.12098e-7,0.0002690849,0.00200254],"genre_scores_gemma":[0.7505602,5.992093e-7,0.2473686,0.00146893,0.000315608,9.431956e-7,0.000002047216,0.000005657184,0.0002774359],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.86113,"threshold_uncertainty_score":0.3282856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154981210069003,"score_gpt":0.2483026110710072,"score_spread":0.2328044900641069,"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."}}