A Cost-Efficient QCA XOR-XNOR Topology for Nanotechnology Applications

Abstract

Quantum-dot cellular automata (QCA) is an inventive nano level computation that suggests less dimension, less power consumption, with more speed and premeditated as an amplification to the scaling obstacle with CMOS methodology. One of the newest and rising nanotechnologies used today is QCA based on the repulsion of Coulomb. One of the newest and rising nanotechnologies used today is QCA based on the repulsion of Coulomb. Surmised computing is a successful paradigm for energy efficient hardware design in nano-scale. In this article, we proposed a proficient, low complex 2-bit and 3-bit QCA XOR gate has been suggested. Further the suggested QCA XOR gates are utilized to design XOR/XNOR gates and cost efficient 4:2 Encoder and 4:1 Encoder using QCA Designer tool. The proposed QCA XOR gate contains very less number of quantum cells as well as areas as related to its best previous existing QCA layouts. The simulation outcomes illustrate that the suggested architecture outperforms in comparison to best existing counterpart layouts in terms of quantum cell count, area, latency and quantum cost.