مشخصات پژوهش

عنوان	Design of a New Optimized Universal Logic Gate for Quantum-Dot Cellular Automata
نوع پژوهش	مقاله چاپ‌شده در مجله
کلیدواژه‌ها	Artificial neural network,Modeling,QCADesigner,Quantum-dot cellular automata,Simulation,Universal logic gate
چکیده	In this paper, the design of a novel efficient QCA-based universal logic gate (ULG) is presented. Compact and efficient implementation layout with only one clock phase delay and also the implementation of the 13 standard functions without extra ULG or gate are the advantages of the proposed ULG. The results show that the proposed ULG is an efficient tool in designing any QCA circuit. Also, an accurate artificial neural network (ANN) model of the proposed ULG is presented. This model can be simply imported into any circuit simulators such as HSPICE, MATLAB Simulink and etc., for modeling and simulation of QCA circuits at the Gate level with high precision in a short time.
پژوهشگران	محسن حیاتی (نفر اول)، عباس رضایی (نفر دوم)