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Full Description
Driven by advances in data science and machine learning, photonics has evolved rapidly in recent years and has transformed into a highly interdisciplinary field, connecting fundamental research with cutting-edge applications. Inspired by recent Nobel Prizes in Physics in 2021 and 2024, Conti highlights the interplay between photonics and spin glasses, a key concept for understanding the link between photon propagation and complex systems. Beginning with a study of black-body radiation, the book then revisits laser theory using techniques from non-equilibrium statistical mechanics. Through a step-by-step exploration of important photonic experiments, it bridges foundational concepts and advances in optical computing, with a focus on developing efficient hardware for classical and quantum artificial intelligence. This reveals the profound ties between complexity, photonics, and the future of AI technologies. The book will be a valuable resource for advanced undergraduate and graduate students and more practised researchers.
Contents
Part I. Light and Fluids: 1. From Max Planck to Machine Learning; 2. Elements of Linear Optics; 3. Green's Functions; 4. Rays; 5. Photon Fluid Transport; 6. Light Diffusion; 7. Diffusive Random Laser; Part II. Photonic Spin Glasses: 8. Spin Glass Theory and Replica Symmetry Breaking; 9. Modes and Fluctuations in Lasers; 10. The Photonic Spin Glass; 11. Photonic Spin Glass Theory; 12. Photonic Spin Glass Experiments; Part III. Optical Ising Machines: 13. Focusing in Random Media and Transmission Matrix; 14. The Spatial Ising Machine; 15. The Parametron and the Coherent Ising Machine.



