Research in photonic computing has flourished due to the proliferation of optoelectronic
components on photonic integration platforms. Photonic integrated circuits have enabled …

Matrix computation, as a fundamental building block of information processing in science
and technology, contributes most of the computational overheads in modern signal …

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

The growing demands of brain science and artificial intelligence create an urgent need for
the development of artificial neural networks (ANNs) that can mimic the structural, functional …

The simultaneous advances in artificial neural networks and photonic integration
technologies have spurred extensive research in optical computing and optical neural …

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 …

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 …

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" …

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