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 …

The ever increasing demand for computational power combined with the predicted plateau
for the miniaturization of existing silicon-based technologies has made the search for low …

This paper addresses the challenges in accurate and real-time traffic congestion prediction
under uncertainty by proposing Ising-Traffic, a dual-model Ising-based traffic prediction …

Specialized function gradient computing hardware could greatly improve the performance of
state-of-the-art optimization algorithms. Prior work on such hardware, performed in the …

Computationally hard combinatorial optimization problems (COPs) are ubiquitous in many
applications. Various digital annealers, dynamical Ising machines, and quantum/photonic …

With the slowdown of improvement in conventional von Neumann systems, increasing
attention is paid to novel paradigms such as Ising machines. They have very different …

Nature has inspired a lot of problem solving techniques over the decades. More recently,
researchers have increasingly turned to harnessing nature to solve problems directly. Ising …

Due to the Ising model's strong expressivity and Ising machines' unique computational
power, it is highly desired if Ising-based learning can be used in real-world applications …

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

This work solves 3SAT, a classical NP-complete problem, on a CMOS-based Ising hardware
chip with all-to-all connectivity. The paper addresses practical issues in going from …