Cell Optimization and Realization of MGDI and QCA based Combinational Logic Circuits for Nanotechnology Applications

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A modern computation paradigm towards nano-ICs, Quantum-dot Cellular Automata (QCA) has picked up fame. QCA is appreciated due to its less power consumption, fast speed, and a minor dimension and so, it is an encouraging substitute to CMOS technology. The QCA is a novel technology, which not as it were gives an arrangement to realize nano-ICs, but too lays a stage for computation and data exchange at nano scale. In CMOS, Gate Diffusion Input (GDI) methodology is used for reducing the number of transistors as well as the area. The conventional GDI technique cannot be fabricated in standard CMOS process. Hence Modified Gate Diffusion Input technique (MGDI) was introduced which is a CMOS compatible GDI cell with standard CMOS processes. This paper basically signifies, design and performance analysis with cell optimization and realization of low power QCA architectures which can be used in various 3:2 compressor designs. Several MGDI logic circuits have been shown using cadence virtuoso simulation software in 45nm technology. The proposed QCA logic circuits are executed in a QCA designer simulation environment for achieving lowest area. The cost function of proposed QCA digital logic designs is rising to the finest as compared to the previous existing designs.