Abstract

In recent years, quantum cell automata (QCA) has emerged as a promising optimization technique for real-time embedded systems design. QCA leverages quantum computing principles to perform parallel and coherent computations, enabling efficient exploration of vast solution spaces. This paper explores the application of QCA in the hardware-software co-design of real-time embedded systems, aiming to achieve enhanced performance, reduced power consumption, and improved reliability. The study investigates the partitioning of tasks between hardware and software, the design of hardware accelerators, and the development of efficient algorithms for real-time constraints. Furthermore, the paper addresses the optimization of communication interfaces to facilitate seamless interaction between hardware and software components. The results demonstrate the potential of QCA in revolutionizing the design and optimization of real-time embedded systems through its ability to exploit quantum parallelism and coherence.