2020 Volume 72 Issue 2 Pages 97-102
Ising machines are physical simulators implemented in various unconventional hardware that aim at reducing the energy consumption cost and time needed to study the properties of complex disordered systems. Many complex non-convex (or rugged) energy landscapes, notably the Ising Hamiltonian of binary spin systems, can be mapped directly onto these physical simulators. We focus on analog Ising machines, which state is described by real variables, and discuss reduction in time and energy-consumption of newly proposed dynamics. The developed simulator will constitute a new opportunity for exploring the physics of complex disordered systems.