基于卡诺图的QCA电路结构优化方法

Optimization method of QCA circuit structure based on Karnaugh map

量子元胞自动机(quantum-dot cellular automata,QCA)由于其特殊的工作方式以及行为特点被视为潜在代替CMOS的新型技术之一。文章基于QCA提出一种简化现有电路结构并指导电路优化设计的方法,通过对比QCA元胞间响应器件提出QCA类IP核概念,并基于类IP核提出卡诺图优化电路结构的方法;在应用方面,选取了QCA类IP核中较为经典的异或类IP核对2项最小项和电路中最为复杂的电路进行优化,电路规模从三输入扩展至n输入;用工具QCADesigner验证优化电路的正确性,同时比较分析了优化电路与原电路各方面的性能参数。实验结果表明,基于类IP核卡诺图方法设计的电路各个性能指标均有提升,且输入位数越多越明显。

Quantum-dot cellular automata(QCA)is considered as one of alternative technologies for CMOS technology due to its unique working method and performance feature.This paper proposes a method to simplify existing circuit structures and to guide circuit design in QCA.Based on the QCA devices using intercellular effect,a concept of pseudo IP core is proposed.Based on this concept,an optimization method of Karnaugh map is presented.In terms of applications,the classic IP core,named XOR-type IP core,is selected to optimize the most complicated circuit of two minimum-terms circuits.The circuit size varies from three inputs to n inputs.The QCADesigner tool is used to verify the correctness of the optimized circuits,and their parameters are compared with those of the original circuits.The experimental results show that the optimized circuits based on the pseudo IP Karnaugh map method are better in all aspects.The more the bit of input is,the more obvious the optimization effect is.