Ising machines, which are hardware implementations of the Ising model of coupled spins,
have been influential in the development of unsupervised learning algorithms at the origins …

Ising machines have received growing interest as efficient and hardware-friendly solvers for
combinatorial optimization problems (COPs). They search for the absolute or approximate …

Networks of coupled oscillators have far-reaching implications across various fields,
providing insights into a plethora of dynamics. This review offers an in-depth overview of …

Abstract Domain-specific hardware to solve computationally hard optimization problems has
generated tremendous excitement. Here, we evaluate probabilistic bit (p-bit) based Ising …

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 …

With the rapid digitization of the world, an increasing number of real-world applications are
turning to non-Euclidean data, modeled as graphs. Due to their intrinsic high complexity and …

Solving certain combinatorial optimization problems like Max-Cut becomes challenging
once the graph size and edge connectivity increase beyond a threshold, with brute-force …

The rapid progress of artificial intelligence (AI) has led to the emergence of a highly
promising field known as neuro-symbolic (NeSy) computing. This approach combines the …

New computing paradigms are required to solve the most challenging computational
problems where no exact polynomial time solution exists. Probabilistic Ising Accelerators …

Combinatorial and discrete optimization problems are prevalent in fields such as artificial
intelligence, supply chain management, and wireless communications. The Ising machine, a …