Neural-network quantum states for many-body physics
Author:
Funder
Simons Foundation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1140/epjp/s13360-024-05311-y.pdf
Reference194 articles.
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2. A. Dawid et al., Modern applications of machine learning in quantum sciences (2022). URL http://arxiv.org/abs/2204.04198
3. G. Carleo, M. Troyer, Solving the quantum many-body problem with artificial neural networks. Science 355, 602–606 (2017)
4. G. Cybenko, Approximation by superpositions of a sigmoidal function. Math. Control Signals Syst. 2, 303–314 (1989). https://doi.org/10.1007/BF02551274
5. K. Hornik, M. Stinchcombe, H. White, Multilayer feedforward networks are universal approximators. Neural Netw. 2, 359–366 (1989). https://doi.org/10.1016/0893-6080(89)90020-8
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