{"id":"W2018718678","doi":"10.1109/tnano.2014.2300494","title":"Efficient Simulation of Correlated Dynamics in Quantum-Dot Cellular Automata (QCA)","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Nanotechnology","topic":"Quantum-Dot Cellular Automata","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Quantum cellular automaton; Quantum dot cellular automaton; Cellular automaton; Quantum entanglement; Hamiltonian (control theory); Electronic circuit; Computer science; Quantum dot; Hartree; Quantum; Quantum computer; Statistical physics; Mathematics; Physics; Quantum mechanics; Algorithm; Mathematical optimization","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":[0.0003348974,0.0002094125,0.0005621797,0.0002358971,0.000623094,0.0008445201,0.0008715471,0.0009887773,0.001292729],"category_scores_gemma":[0.00145206,0.0002510032,0.0004450642,0.000403041,0.0009422092,0.0006384976,0.0007415694,0.0006439402,0.0001540136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008838805,"about_ca_system_score_gemma":0.001016682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00750104,"about_ca_topic_score_gemma":0.00629867,"domain_scores_codex":[0.9998353,0.00004546649,0.000008289164,0.00002242029,0.00005144276,0.00003701871],"domain_scores_gemma":[0.9995159,0.0002714086,0.00003160594,0.0000687052,0.00006100089,0.00005141848],"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":[0.00004424847,0.00004927813,0.001008576,0.00004314357,0.00001932166,0.0001346009,0.0001210254,0.8958716,0.006685719,0.09219269,0.0004649305,0.003364831],"study_design_scores_gemma":[0.000007384574,0.000006123516,0.00006159792,0.0000019647,0.000001601548,0.000005081601,0.000006800128,0.9949356,0.0004889809,0.004298014,0.0001842302,0.000002697222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7373881,0.0003666093,0.2397892,0.0008628501,0.0001222752,0.00009051552,0.0003085144,0.0003321893,0.02073975],"genre_scores_gemma":[0.971905,0.0001179431,0.02625266,0.00006753917,0.000007942883,0.00009447356,0.00008513026,0.00003043256,0.001438831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00750104,"threshold_uncertainty_score":0.01491475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009473477664135904,"score_gpt":0.2258584604702377,"score_spread":0.2163849828061019,"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."}}