Optical links are moving to higher and higher transmission speeds while shrinking to shorter
and shorter ranges where optical links are envisaged even at the chip scale. The scaling in …

Neural networks have enabled applications in artificial intelligence through machine
learning, and neuromorphic computing. Software implementations of neural networks on …

In recent years, optical modulators, photodetectors,(de) multiplexers, and heterogeneously
integrated lasers based on silicon optical platforms have been verified. The performance of …

There has been recent interest in neuromorphic photonics, a field with the promise to access
pivotal and unexplored regimes of machine intelligence. Progress has been made on …

An overview is presented of the current state‐of‐the‐art in silicon nanophotonic ring
resonators. Basic theory of ring resonators is discussed, and applied to the peculiarities of …

A new class of hybrid systems that couple optical, electrical and mechanical degrees of
freedom in nanoscale devices is under development in laboratories worldwide. These nano …

Optical technology is poised to revolutionize short-reach interconnects. The leading
candidate technology is silicon photonics, and the workhorse of such an interconnect is the …

To keep pace with the demands in optical communications, electro-optic modulators should
feature large bandwidths, operate across all telecommunication windows, offer a small …

This book sets out to build bridges between the domains of photonic device physics and
neural networks, providing a comprehensive overview of the emerging field of" …

Silicon photonics has emerged as the leading candidate for implementing ultralow power
wavelength–division–multiplexed communication networks in high-performance computers …