June 23, 2022 feature
by Ingrid Fadelli , Tech Xplore
In recent years, engineers have been trying to devise new computers and devices that could help to solve challenging real-world problems faster and more efficiently. Some of the most promising among these are Ising machines (IMs), physics-based systems designed to tackle complex optimization problems.
Researchers at the University of California and the University of Messina have recently developed a sparse Ising machine architecture that can operate on classical and existing computer hardware. This architecture, presented in a paper published in Nature Electronics, was found to be significantly faster than standard optimization methods running on a central processing unit.