STQCA-FFT: A fast fourier transform architecture using stack-type QCA approach with power and delay reduction

Abstract

Quantum-dot Cellular Automata (QCA) is a novel and fast-growing nanotechnology that is used to build VLSI circuits. This paradigm has proven to be the fastest among various other technologies. In this paper, a novel Fast Fourier Transform architecture has been implemented using QCA. As FFT is a frequently used algorithm in signal processing applications, the architecture of the FFT has to be optimized in terms of area, power, and delay. An innovative method has been introduced to implement FFT using QCA named Stack-Type Quantum-dot Cellular Automata (STQCA). This novel architecture reduces the area by half that of conventional approaches. The proposed FFT layout yields better performance, with number of quantum cells and size as, 32,534 and 87.23 µm2 respectively. The latency between input and output is about 0.116 ns which is quite low. The layout's power dissipation has also been extracted using the QCADesignerE-2.2 tool, which is merely 17.12nW. To summarize, the proposed module show a reduction of 65% in delay and 99% in power dissipation.