{"id":"W2102708856","doi":"10.1142/s0218126612500181","title":"DESIGN AND OPTIMIZATION OF SINGLE AND MULTIPLE-LOOP REVERSIBLE AND QUANTUM FEEDBACK CIRCUITS","year":2012,"lang":"en","type":"article","venue":"Journal of Circuits Systems and Computers","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Sequential logic; Electronic circuit; Computer science; Combinational logic; Logic gate; Logic synthesis; Quantum logic; Electronic engineering; Algorithm; Computer engineering; Arithmetic; Quantum; Quantum computer; Mathematics; Engineering; Electrical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002993057,0.0002955395,0.0003347573,0.0003104823,0.0002239624,0.0004064142,0.0006612395,0.0004339073,0.001802808],"category_scores_gemma":[0.0006178616,0.0002109311,0.0002856445,0.00031456,0.0003274182,0.0004322051,0.0002241442,0.0002514285,0.0001505124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007134842,"about_ca_system_score_gemma":0.0005962245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007757908,"about_ca_topic_score_gemma":0.001709702,"domain_scores_codex":[0.9998028,0.00002540016,0.000007934772,0.00004412752,0.0000898192,0.00002988421],"domain_scores_gemma":[0.9998335,0.00006918962,0.00004114314,0.00001376336,0.00003321179,0.000009190412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001320579,0.00007037367,0.0004711322,0.0001886365,0.00004534705,0.0001111384,0.00004249063,0.7357172,0.10677,0.03831581,0.000679771,0.1174561],"study_design_scores_gemma":[0.00003655272,0.0001198759,0.0002444124,0.000007029863,0.00002294104,0.00005475002,0.000009087313,0.9631186,0.02850154,0.005640695,0.002231997,0.00001253101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.295025,0.001048462,0.6873196,0.0003432365,0.00008854856,0.0001591995,0.0001591491,0.0009071034,0.01494975],"genre_scores_gemma":[0.8550488,0.0002259542,0.1422693,0.00004822449,0.00001318889,0.00009183049,0.00003349255,0.00004455114,0.002224718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001802808,"threshold_uncertainty_score":0.006030977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02407632781130257,"score_gpt":0.2179195233321032,"score_spread":0.1938431955208006,"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."}}