This paper reviews some recent progress in the field of neuromorphic photonics, with a
particular focus on scalability. We provide a framework for understanding the underlying …

Recently, there has been tremendous interest in excitable optoelectronic devices and in
particular excitable semiconductor lasers that could potentially enable unconventional …

The construction of a quantum computer remains a fundamental scientific and technological
challenge because of the influence of unavoidable noise. Quantum states and operations …

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" …

In contrast to a conventional symmetric Lorentzian resonance, Fano resonance is
predominantly used to describe asymmetric-shaped resonances, which arise from the …

As society's appetite for information continues to grow, so does our need to process this
information with increasing speed and versatility. Many believe that the one-size-fits-all …

Spiking neural networks are known to be superior over artificial neural networks for their
computational power efficiency and noise robustness. The benefits of spiking coupled with …

We report on ultrafast artificial laser neurons and on their potentials for future neuromorphic
(brainlike) photonic information processing systems. We introduce our recent and ongoing …

We report on experimental evidence of neuronlike excitable behavior in a micropillar laser
with saturable absorber. We show that under a single pulsed perturbation the system …

We review experimental and theoretical results on the computing properties of single spiking
micropillar lasers and present numerical studies of propagation and computing in chains of …