Journal of Cybersecurity and Information Management JCIM 2690-6775 2769-7851 10.54216/JCIM https://www.americaspg.com/journals/show/2909 2019 2019 Associate Professor, Department of Computer Applications, Saveetha College of Liberal Arts & Science, SIMATS, Chennai, India N. N. Associate Professor, Department of ECE, B S ABDUR RAHMAN CRESCENT INSTITUTE OF SCIENCE AND TECHNOLOGY, Chennai, India V. Jean Shilpa Professor in EEE, J.J. College of Engineering and Technology, Trichy, India K. Jayakumar Assistant Professor , Department of Information Technology, S.A. Engineering College, India. P. .. Assistant Professor, ECE, Panimalar Engineering College, Chennai, India M. Arun This paper presents a novel Slumped Static Random-Access Memory (SRAM) configuration utilizing Quantum-dot Cellular Automata (QCA) technology, aimed at achieving enhanced stability and efficiency. Traditional CMOS-based SRAM designs face significant challenges related to power consumption and scalability as technology nodes shrink. QCA, with its potential for ultra-low power dissipation and high-density integration, emerges as a promising alternative. Our proposed SRAM configuration leverages a unique differential voltage sensing mechanism to bolster the stability of the memory cells, particularly under conditions of variability and noise. Through detailed simulations and comparative analysis, we demonstrate that the Slumped SRAM configuration not only improves static noise margin (SNM) but also reduces power consumption and enhances overall readwrite speed. The results indicate a substantial improvement in stability and operational efficiency, positioning this design as a viable solution for future high-performance, low-power memory applications. Through detailed simulations and comparative analysis, we demonstrate that the Slumped SRAM configuration achieves a static noise margin (SNM) improvement of 35% over conventional CMOS-based SRAM designs. Additionally, the proposed design reduces power consumption by 40% and enhances readwrite speed by 25%. These results indicate a substantial improvement in stability and operational efficiency, positioning this design as a viable solution for future high-performance, low-power memory applications. 2024 2024 207 217 10.54216/JCIM.140114 https://www.americaspg.com/articleinfo/2/show/2909