Abstract
As computing technology progresses, the comparison between photonic CPUs and traditional electronic CPUs has become a key topic in research and development. This paper offers a comprehensive analysis of the underlying principles, performance characteristics, and challenges associated with both processor types. Traditional electronic CPUs, which rely on the manipulation of electrons through silicon transistors, face inherent physical limitations, particularly in heat management, power consumption, and signal loss as they scale. Photonic CPUs, by contrast, use photons for data transmission, providing significant advantages in speed, bandwidth, and energy efficiency, particularly in large-scale data-intensive applications. However, despite their promising benefits, photonic CPUs are still in the early stages of development and face challenges related to serial task execution and compatibility with existing electronic systems. This paper explores the potential for hybrid architectures that combine the strengths of both photonic and electronic processors, which may offer a path toward future high-performance computing. Such an approach could be particularly impactful in fields like artificial intelligence, big data, and optical networking. The paper further reviews current research, explores potential applications, and discusses future prospects for these technologies, emphasizing the need for continued innovation to fully unlock the potential of photonic processing.