Ising machines are hardware solvers that aim to find the absolute or approximate ground
states of the Ising model. The Ising model is of fundamental computational interest because …

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

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

To tackle important combinatorial optimization problems, a variety of annealing-inspired
computing accelerators, based on several different technology platforms, have been …

Photonic neural networks perform brain-inspired computations using photons instead of
electrons to achieve substantially improved computing performance. However, existing …

In recent years, the explosive development of artificial intelligence implementing by artificial
neural networks (ANNs) creates inconceivable demands for computing hardware. However …

Ultrafast dynamic machine vision in the optical domain can provide unprecedented
perspectives for high-performance computing. However, owing to the limited degrees of …

We study artificial neural networks with nonlinear waves as a computing reservoir. We
discuss universality and the conditions to learn a dataset in terms of output channels and …

Ising machines (IMs) are physical systems designed to find solutions to combinatorial
optimization (CO) problems mapped onto the IM via the coupling strengths between its …

The need for solving optimization problems is prevalent in various physical applications,
including neuroscience, network design, biological systems, socio-economics, and chemical …