A Cost Efficient QCA Compressor Topologies for Fast Nano Computing Applications

Abstract

Quantum-dot cellular automata is a cutting edge enumeration methodology that suggests less area and high speed compare with CMOS technology towards nano-computing. Innovative digital automation always heading towards high density, and very less power using up. This paper basically focuses on the design and execution investigation with cell optimization of numerous compressor topology designs. In this paper, we suggested a proficient, less complex numerous compressor topologies like 4:2, 5:2 compressor topologies with the help of proposed ultra-efficient Multiplexer (MUX) in QCADesigner simulation environment for fast computing applications like signal and image processing etc. Those architectures are modest in design and conquer a section of the area associated with previous designs. The projected efficient 2:1 MUX topologies are the smallest among all the previous designs. Simulation result presents that the proposed structures have attained major enhancements in positions of circuit complexity. Our proposed QCA 2:1 MUX architecture topologies involve 58.06% less area and QCA 4:2 compressor architecture topologies involve 25.41% less area and QCA 5:2 compressor architecture topologies involve 21.05% less area and low power dissipation as equated with the rest designs. The functionality of projected structures estimated in the QCADesigner simulation environment.