Predicting sampling advantage of stochastic Ising Machines for Quantum Simulations

Rutger J. L. F. Berns, Davi R. Rodrigues, Giovanni Finocchio +1

Stochastic Ising machines, sIMs, are highly promising accelerators for optimization and sampling of computational problems that can be formulated as an Ising model. Here we investi…