Silicon Photonic Computing (Volume-II): Architecting Next-Generation AI with Optical Tensor Cores and Integrated Photonics
The science of photonic computing is compelling.
Building a practical photonic computer is far more difficult.
As artificial intelligence drives unprecedented demand for computational performance, the limitations of conventional electronic architectures are becoming increasingly apparent. The future of computing will depend not only on faster devices, but on entirely new approaches to system design, packaging, interconnects, thermal management, and large-scale integration.
Silicon Photonic Computing: Volume II - Photonic Tensor Cores, System Integration, and Quantum Scaling explores the engineering realities behind next-generation optical computing platforms.
From advanced fabrication processes, co-packaged optics, fiber-to-chip coupling, thermal stabilization, calibration strategies, and manufacturing variation to hardware security, photonic tensor cores, optical interconnect fabrics, quantum photonic architectures, and large-scale AI acceleration, this volume provides a comprehensive roadmap from laboratory concepts to deployable computing systems.
Combining rigorous engineering analysis, practical design methodologies, architectural insights, and emerging industrial trends, this book examines the technologies that may define the future of high-performance computing, artificial intelligence infrastructure, and post-silicon system architecture.
For engineers, researchers, graduate students, semiconductor professionals, and technology leaders, Volume II offers a deep exploration of the challenges and opportunities involved in transforming photonic computation from scientific possibility into technological reality.
The future of computing will not be built by devices alone.
It will be built by systems.
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