Cell number optimization for Quantum Cellular Automata based on and-or-inverter

Abstract

Majority and inverter gates together make a universal set of Boolean primitives in Quantum-dot Cellular Automata (QCA) circuits. However, an experimental evaluation has shown that MV is not efficiently used during technology mapping by existing logic-synthesis tools. In this paper, we propose an approach, based on Genetic Algorithm, which reduces the area size of QCA circuits. Simulation results show that the proposed method is able to reduce area in QCA circuits design. Copyright © 2012 American Scientific Publishers All rights reserved.