Annealing processors are more energy efficient and quicker at solving mathematical optimization problems than PCs. Researchers at Tokyo University of Science have now developed a new approach to realizing scalable fully coupled annealing processors. These quantum-inspired systems can model the interactions between magnetic spins and use it to solve complex optimization problems. The new method greatly outperforms modern CPUs and shows potential for applications in drug discovery, artificial intelligence, and materials science.
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