Simulation of Quantum Cellular Automata Circuits Using Neural Networks

CMOS technology miniaturization limits have provided new alternative technologies, Quantum cellular automata (QCA) is a new technology in nanometer scale as one of the alternatives, QCA technology has large potential in terms of high space density and power dissipation with the development of faster computers and lower power consumption. This paper proposes the use of Hopfield neural network design of simple QCA cells and study device level uncertainties like stable polarization at the output cell, near to ground state configuration of QCA cells. This study is helpful to synthesize the QCA system thereby to achieve high speed and errorless circuit.