{"id":"W3091860955","doi":"10.1109/dsd51259.2020.00074","title":"Geometric Refactoring of Quantum and Reversible Circuits: Quantum Layout","year":2020,"lang":"en","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Qubit; Quantum circuit; Computer science; Quantum gate; Quantum computer; Quantum; Algorithm; Theoretical computer science; Quantum algorithm; Noise (video); Topology (electrical circuits); Quantum error correction; Computer engineering; Electronic engineering; Electrical engineering; Quantum mechanics; Physics; Engineering; Artificial intelligence","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":[0.0002046085,0.0001514818,0.0002626756,0.0001920465,0.0000957811,0.00008033156,0.0006192148,0.000054729,0.00001323468],"category_scores_gemma":[0.0001384935,0.0001280613,0.00006344647,0.001310987,0.00004230153,0.0002102579,0.0004439932,0.0001954434,0.00001300324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001104903,"about_ca_system_score_gemma":0.00004534558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006203238,"about_ca_topic_score_gemma":4.795957e-7,"domain_scores_codex":[0.9986812,0.00004283437,0.0002712656,0.0004397878,0.0002817863,0.0002830683],"domain_scores_gemma":[0.9991486,0.0001575413,0.0001133408,0.0003232131,0.00006283635,0.0001944391],"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":[0.00003448483,0.0003642237,0.0257223,0.001200813,0.0002911418,0.0002022978,0.01664862,0.01530368,0.02160572,0.4941512,0.008150177,0.4163254],"study_design_scores_gemma":[0.000350362,0.0003023046,0.004671197,0.00004015345,0.000007061688,0.00001903937,0.00008741255,0.9866443,0.002980371,0.00182762,0.00281661,0.0002535965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.296185,0.0004699463,0.7001237,0.001863677,0.000253136,0.00009387821,0.000003128448,0.0002392217,0.0007682388],"genre_scores_gemma":[0.9878849,0.00002845171,0.01156188,0.0003854689,0.00008955873,8.435151e-7,6.944313e-7,0.000009654961,0.0000385015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9713406,"threshold_uncertainty_score":0.5222187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543345113694763,"score_gpt":0.231376609046893,"score_spread":0.2059431579099454,"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."}}