Time-delayed optoelectronic oscillators are at the center of a large body of scientific
literature. The complex behavior of these nonlinear oscillators has been thoroughly explored …

Photonic delay systems have revolutionized the hardware implementation of Recurrent
Neural Networks and Reservoir Computing in particular. The fundamental principles of …

Random numbers are widely used for information security, cryptography, stochastic
modeling, and quantum simulations. Key technical challenges for physical random number …

Microwave photonic approaches for the generation of microwave signals have attracted
substantial attention in recent years, thanks to the significant advantages brought by …

We experimentally demonstrate fast physical random bit generation from bandwidth-
enhanced chaos by using three-cascaded semiconductor lasers. The bandwidth-enhanced …

The concept of reservoir computing emerged from a specific machine learning paradigm
characterized by a three-layered architecture (input, reservoir, and output), where only the …

This paper reports the experimental investigation of two different approaches to random bit
generation based on the chaotic dynamics of a semiconductor laser with optical feedback …

This paper proposes a general framework of 1-D chaotic maps called the dynamic
parameter-control chaotic system (DPCCS). It has a simple but effective structure that uses …

Abstract Machine learning (ML) and neuromorphic computing have been enforcing problem-
solving in many applications. Such approaches found fertile ground in optical …

Chaotic external-cavity semiconductor laser (ECL) is a promising entropy source for
generation of high-speed physical random bits or digital keys. The rate and randomness is …