Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks

By Fuxi Cai, Suhas Kumar, T. Vaerenbergh, X. Sheng, Rui Liu, Can Li, Zhankai Liu, M. Foltin, Shimeng Yu, Qiangfei Xia and 4 more. Nature Electronics, 2020

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Memristive technologies for data storage, computation, encryption, and radio-frequency communication (2022, background): “Moreover, to achieve properconvergence,the native device noise injected in those inner products can be exploited as an explicit source of noise to force the network to continuously explore the solution space ( 80 , 81 ).”
Training Spiking Neural Networks Using Lessons From Deep Learning (2021, background): “Stochastic approaches can trade computation with naturally arising circuit noise [131], [132], [133].”
Ising machines as hardware solvers of combinatorial optimization problems (2022, neutral): “In Ref.”