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This book is the doctoral dissertation of Dr. Mingzhi Lu, completed in 2013 at the University of California, Santa Barbara. It serves as a comprehensive guide on the design and implementation of integrated optical phase-locked loops (OPLLs). Presented step-by-step, the dissertation provides a detailed exploration of the theory, fabrication, and testing of OPLLs, making it an invaluable resource for researchers and engineers in the field of photonics. Optical phase-locked loops are a critical component in coherent optical communication and sensing systems, enabling higher sensitivity, data capacity, and spectral efficiency. Historically, OPLLs faced challenges in long-haul applications due to limitations in handling chromatic and polarization dispersion. However, their low power consumption, compact design, and straightforward system architecture continue to make them an intriguing option for specific use cases. Today, with the rise of machine learning (ML) and artificial intelligence (AI) networks, the potential of OPLLs deserves renewed attention. These networks demand efficient, high-speed interconnects, and the simplicity and energy efficiency of OPLL-based systems align well with such requirements. While OPLLs may not entirely replace digital signal processing in traditional long-haul applications, their suitability for edge computing and localized AI networks opens exciting possibilities for innovation. This book not only revisits the relevance of OPLLs in a modern context but also provides a foundational understanding of their architecture and applications. Whether you are a student, researcher, or industry professional, this work invites you to rediscover the promise of OPLLs in the era of AI and ML.
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