Artificial intelligence (AI) is gaining strength, and materials science can both contribute to
and profit from it. In a simultaneous progress race, new materials, systems, and processes …

This review presents an overview of the current state‐of‐the‐art in photonics computing,
which leverages photons, photons coupled with matter, and optics‐related technologies for …

Combinatorial optimization problems are crucial for widespread applications but remain
difficult to solve on a large scale with conventional hardware. Novel optical platforms, known …

Hopfield networks are artificial neural networks which store memory patterns on the states of
their neurons by choosing recurrent connection weights and update rules such that the …

Recently various physical systems have been proposed for modeling Ising spin
Hamiltonians appealing to solve combinatorial optimization problems with remarkable …

Many developments in science and engineering depend on tackling complex optimizations
on large scales. The challenge motivates an intense search for specific computing hardware …

Neural networks find widespread use in scientific and technological applications, yet their
implementations in conventional computers have encountered bottlenecks due to ever …

In recent years, quantum computing has made significant strides, particularly in light-based
technology. The introduction of quantum photonic chips has ushered in an era marked by …

Statistical spin dynamics plays a key role in understanding the working principle for novel
optical Ising machines. Here, we propose the gauge transformation for a spatial photonic …

The photonic Ising machine is a new paradigm of optical computing that takes advantage of
the unique properties of light wave propagation, parallel processing, and low-loss …