Logic Synthesis Method for Quantum-dot Cellular Automata Circuits

Present silicon technology, Complementary Metal Oxide Semiconductor (CMOS) will face the scaling limitations in near future. The alternate to this technology is Quantum-dot Cellular Automata (QCA) which can overcome the limitations of CMOS technology. Synthesis is the important and compulsory process in design flow. Well-developed open source and commercial synthesis tools are available for CMOS technology. There is need to develop the synthesis tool for emerging QCA nanotechnology. Therefore, in this paper, synthesis algorithm for QCA nanotechnology is proposed. The algorithm is based on pre optimization of logic and developed in Python language. The proposed synthesis algorithm uses Quine-McCluskey technique for optimization and handles up to n-variable functions. It is tested on Microelectronic Centre for North Carolina (MCNC) benchmark circuits and thirteen standard functions.