With the slowdown of Moore's law, many emerging electronic devices and computing
architectures have been proposed to sustain the performance advancement of computing …

The commercial and industrial demand for the solution of hard combinatorial optimization
problems pushes forward the development of efficient solvers. One of them is the Ising …

Abstract Ising Machines (IMs) have the potential to outperform conventional Von-Neuman
architectures in notoriously difficult optimization problems. Various IM implementations have …

Coupled nano-oscillators are attracting increasing interest because of their potential to
perform computation efficiently, enabling new applications in computing and information …

Dynamical Ising machines are actively investigated from the perspective of finding efficient
heuristics for NP-hard optimization problems. However, the existing data demonstrate super …

The Ising machine is an unconventional computing architecture that can be used to solve
NP-hard combinatorial optimization problems more efficiently than traditional von Neumann …

Combinatorial optimization (CO) has a broad range of applications in various fields,
including operations research, computer science, and artificial intelligence. However, many …

Coupled electronic oscillator networks, under second harmonic injection, have recently
been shown to behave as Ising machines capable of solving computationally hard …

The standard van Neumann computer excels at many things. However, it can be very
inefficient in solving optimization problems with a large solution space. For that reason, a …

Solving combinatorial optimization problems is essential in scientific, technological, and
engineering applications, but can be very time and energy-consuming using classical …