Theory of overparametrization in quantum neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)
Link
https://www.nature.com/articles/s43588-023-00467-6.pdf
Reference49 articles.
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3. Schmidt, J., Marques, M. R., Botti, S. & Marques, M. A. Recent advances and applications of machine learning in solid-state materials science. npj Comput. Mater. 5, 83 (2019).
4. Blum, A. L. & Rivest, R. L. Training a 3-node neural network is NP-complete. Neural Netw. 5, 117–127 (1992).
5. Neyshabur, B., Li, Z., Bhojanapalli, S., LeCun, Y., & Srebro, N. Towards understanding the role of over-parametrization in generalization of neural networks. Preprint at arXiv https://doi.org/10.48550/arXiv.1805.12076 (2018).
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