{"id":"W1905513623","doi":"10.1109/vlsi-soc.2015.7314431","title":"Reversible circuit rewriting with simulated annealing","year":2015,"lang":"en","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Rewriting; Simulated annealing; Computer science; Electronic circuit; Quantum annealing; Annealing (glass); Quantum; Algorithm; Mathematical optimization; Computer engineering; Quantum computer; Mathematics; Programming language; Materials science; Electrical engineering; Engineering; Physics; Quantum mechanics","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":[0.0003283264,0.0001117922,0.0001210332,0.0000757225,0.0001198281,0.0001612931,0.0004919061,0.00003552684,0.000004412882],"category_scores_gemma":[0.00003893021,0.00008309977,0.00002632545,0.000506616,0.00002225424,0.0002094297,0.000167689,0.0001474381,0.0000304457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002364494,"about_ca_system_score_gemma":0.00008660555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007518984,"about_ca_topic_score_gemma":0.00000338929,"domain_scores_codex":[0.9989561,0.00003776245,0.0001329069,0.0003235565,0.0002591662,0.0002904433],"domain_scores_gemma":[0.999226,0.00006523847,0.00005195953,0.0003611905,0.0001271147,0.0001684978],"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":[0.0000188877,0.00008424451,0.003425729,0.00003536277,0.00005979851,0.0003629785,0.004584727,0.8220569,0.0003823626,0.04573734,0.003809021,0.1194427],"study_design_scores_gemma":[0.0004342786,0.0001291124,0.0001182764,0.00004429049,0.000002449245,0.0000765338,0.00008154228,0.993591,0.0004731748,0.002828656,0.002040846,0.0001798114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1678252,0.00007338989,0.816109,0.0008133584,0.0001551264,0.00008452361,3.853484e-7,0.000639935,0.01429907],"genre_scores_gemma":[0.8820838,5.075487e-7,0.1170019,0.0004175726,0.00009324613,4.589173e-7,0.000001041935,0.000008874234,0.000392648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7142586,"threshold_uncertainty_score":0.338871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908101296719049,"score_gpt":0.2359699582018357,"score_spread":0.2068889452346452,"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."}}