微波光子芯片

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犀里光电科技完成首轮数千万级融资,光子芯片能否赋能算力互连新时代
Feng Huang Wang· 2025-05-23 12:10
Core Insights - The development of photonic chips is seen as a significant breakthrough in overcoming Moore's Law, with global investments aimed at practical applications [1] - A team led by Professor Wang Cheng has created a microwave photonic chip that processes electronic signals at speeds 1000 times faster than traditional processors, with lower energy consumption [1][2] - The establishment of a startup, Xili Photonics Technology, indicates that the technology is moving closer to practical application, having secured multi-million funding [2] Group 1: Technological Advancements - The new microwave photonic chip utilizes a lithium niobate platform, enhancing system stability and cost-effectiveness [2] - The chip's capabilities include ultra-fast simulation of electronic signal processing and high precision in calculations [1][2] - The research focuses on integrating more complex functions into photonic chips to facilitate real-world applications [2][3] Group 2: Market and Industry Context - Despite a decline in market enthusiasm for financing, government support for hard technology remains strong, which may benefit the development of foundational technologies in China [2] - The shift towards optical interconnects in data centers is driven by the increasing demands of AI models, replacing traditional copper cables with fiber optics [7][8] - The concept of "optical interconnect" is becoming more prevalent, with fiber optics being used for both long-distance and short-distance data transmission [7] Group 3: Future Directions and Applications - The focus is on achieving higher levels of photonic system integration, with plans to explore applications in radar, microwave signal processing, and spectrum sensing [5][6] - The company aims to develop a high-performance integrated photonic chip platform, with potential applications in autonomous driving and 6G communication [11][12] - The integration of multiple devices on a single chip is a key goal, allowing for complex functionalities previously requiring larger systems [9][10]