Optimizing Majority Gate Design in Quantum-dot CellularAutomata for Enhanced Computational Efficiency

Quantum-dot Cellular Automata (QCA) are a promising candidate for next-generationcomputing technologies due to their potential for high-speed and low-power operation. As themajority gate is a fundamental component in QCA circuits, optimizing its design is crucial forenhancing computational efficiency. This paper presents a comprehensive study aimed atoptimizing majority gate designs within QCA circuits. We explore various architecturalmodifications, including cell arrangement, clocking schemes, and defect tolerance, andevaluate their impact on performance metrics such as speed, power consumption, and area.Simulations using QCADesigner-E software demonstrate that our optimized designssignificant improvements over conventional designs. These advancements represent asignificant step towards the practical deployment of QCA-based computational architecturesThis paper focuses on the design and optimization of logic gate circuits using Quantum-dotCellular Automata (QCA) technology, emphasizing the majority voter gate. By presentingnew layouts and design methodologies, it demonstrates significant improvements inperformance, area reduction, and power consumption over traditional CMOS technology.

Optimizing Majority Gate Design in Quantum-dot CellularAutomata for Enhanced Computational Efficiency Keywords:

Quantum-dot Cellular Automata , majority gate , CMOS