Design of Efficient Novel XOR and a Code Converter using QCA with Minimum Number of Cells

Abstract: Quantum-dot Cellular Automata (QCA) is a developing implementation technology for the development of low power, low area, and highly efficient digital circuits. QCA is an alternative technology to Complementary Metal Oxide Semiconductor (CMOS) because CMOS has scaling limitations which leads to high leakage power. QCA is a transistor less implementation model. To date, the cost function is a more important parameter to be compared to various circuits within QCA design. Such cost function includes delay, the number of QCA majority gates and types of crossovers used. The area is the major parameter to be compared to various circuits between CMOS and QCA design. In this paper, new XOR and Binary to Gray code converter are proposed. The proposed circuits are designed in both CMOS and QCA technologies. The CMOS technology results obtained from Tanner 16.3 software and QCA results obtained from QCA Designer tool. The paper shows the performance analysis of proposed XOR and Binary to Gray code converter are efficient in terms of cost function when compared to existing QCA designs of above circuits. Also the analysis shows that above QCA designed circuits are efficient in terms of the area when compared to CMOS technology.

Keywords: Quantum-Dot Cellular Automata (QCA), Majority Voter, XOR, Code Converter, Cost Function.