一种基于两点量子元胞自动机电路的仿真方法  

Simulation Method Based on the Circuits of Two Quantum-dot Cellular Automata

作　　者：汪志春[1] 蔡理[1] 王森[1] 杨晓阔[1] 张明亮[1] 

机构地区：[1]空军工程大学理学院,西安710051

出　　处：《固体电子学研究与进展》2014年第4期330-333,共4页Research & Progress of SSE

基　　金：国家自然科学基金资助项目(61172043);陕西省自然科学基础研究计划重点资助项目(2011JZ015);陕西省自然科学基础研究计划资助项目(2013JQ8010)

摘　　要：针对两点量子元胞自动机在半经典模型下的结构特点,提出了一种基于遗传模拟退火法确定两点量子元胞自动机系统状态的方法。遗传模拟退火法结合了适合全局搜索的遗传算法与适合局部搜索的模拟退火算法两者的优点,既提高了收敛速度,又防止了种群的早熟现象。通过对两点量子元胞自动机的传输线、反相器、扇出以及逻辑门等基本逻辑电路的仿真,验证了该算法的可行性和正确性。A new method to identify the state of two quantum-dot cellular automata system （QCA） by using the genetic simulation annealing algorithm is proposed according to the structural characteristics of 2-dot QCA in the semiclassical model. The genetic simulation annealing algorithm which combines the simulated annealing algorithm with the general genetic algorithm is generalized to simulate QCA circuits by suitably setting the fitness function and parameters. The method not only improves the convergence speed, but also prevents the population from being premature. The simulation results of the 2-dot QCA basic circuits that contain transmission line, inverter, fan-out gate and logic gate have confirmed the feasibility and the validity of this algorithm.

关 键 词：两点量子元胞自动机 遗传模拟退火法 仿真 逻辑电路 半经典模型 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] TN791[自动化与计算机技术—计算机科学与技术]