An Efficient Layout of Single-Layer Full Adder Using QCA Nilesh Patidar and Namit Gupta Abstract Quantum cellular automata (QCA) is a new method of computation used in designing of electronic digital circuits at scale of nanometers. QCA has been used to achieve better performance in cell density, high switching speed and low power dissipation. An adder is a very useful component used for designing of arithmetic digital devices. This paper presents a layout of full adder designed on single layer which is efficient in various aspects based on QCA technology proposed. The goal of the research is to minimize the cells used, designed area and delay in designing of full adder based on QCA. The proposed layout of full adder has been efficient in number of cells used, designed area as well as latency in clocks. The proposed layout has been designed using XOR gate and majority voter. The proposed lay- out of adder consist of 24 cells with an optimized area of 0.016 μm 2 and 2-clock phases (~0.125 ps) which shows more efficient from previous work on adders. The layout of full adder has been successfully designed and simulated using QCADesigner-E 2.2. Keywords Adder · Nano-electronics · QCA 1 Introduction In 1965, great scientist Gorden Moore predicted that the integration of number of cells or transistors on a single silicon wafer shall be doubled in every 18 months. Nowadays, more reduction in sizing of transistor may not be possible due to some problems in physical integration using CMOS technology. The CMOS has various physical limitations faced in fabrication techniques as we approach the nanometer regime. Due to this, CMOS devices are prone to new realization challenges where device density puts an upper limit in integration due to short channel effect and higher N. Patidar (B ) · N. Gupta Department of Electronics Engineering, SVITS, SVVV, Indore, India e-mail: neel.s.patidar@gmail.com N. Gupta e-mail: namitg@hotmail.com © Springer Nature Singapore Pte Ltd. 2020 M. Pant et al. (eds.), Soft Computing: Theories and Applications, Advances in Intelligent Systems and Computing 1154, https://doi.org/10.1007/978-981-15-4032-5_17 165