Ising machines are a promising non-von-Neumann computational concept for neural
network training and combinatorial optimization. However, while various neural networks …

The restricted Boltzmann machine (RBM) is a stochastic neural network capable of solving a
variety of difficult tasks including non-deterministic polynomial-time hard combinatorial …

We present a detailed circuit implementation of Szegedy's quantization of the Metropolis-
Hastings walk. This quantum walk is usually defined with respect to an oracle. We find that a …

Probabilistic spin logic is a recently proposed computing paradigm based on unstable
stochastic units called probabilistic bits (p-bits) that can be correlated to form probabilistic …

We report a high-precision finite-size scaling study of the critical behavior of the three-
dimensional Ising Edwards-Anderson model (the Ising spin glass). We have thermalized …

Recent advances in quantum technology have led to the development and manufacturing of
experimental programmable quantum annealing optimizers that contain hundreds of …

The study of spin-glass dynamics, long considered the paradigmatic complex system, has
reached important milestones. The availability of high-quality single crystals has allowed the …

Population annealing is a promising recent approach for Monte Carlo simulations in
statistical physics, in particular for the simulation of systems with complex free-energy …

The non-von Neumann computer architecture has been widely studied to prepare us for the
post-Moore era. The authors implemented this kind of architecture, which finds the lower …

We adapted the SWAP molecular dynamics algorithm for use in lattice Ising spin models. We
dressed the spins with a randomly distributed length and we alternated long-range spin …