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Searching for spin glass ground states through deep reinforcement learning

Physics

Searching for spin glass ground states through deep reinforcement learning

C. Fan, M. Shen, et al.

Discover groundbreaking insights into spin glasses with DIRAC, a deep reinforcement learning framework that enhances performance in disordered magnets and complex optimization problems. This innovative approach, developed by Changjun Fan, Mutian Shen, Zohar Nussinov, Zhong Liu, Yizhou Sun, and Yang-Yu Liu, offers remarkable scalability and accuracy, revolutionizing our understanding of low-temperature spin glass phases.

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~3 min • Beginner • English
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