1 code implementation • 24 Jun 2021 • Jing Liu, Sujie Li, Jiang Zhang, Pan Zhang
Despite the great potential, however, existing tensor network models for unsupervised machine learning only work as a proof of principle, as their performance is much worse than the standard models such as restricted Boltzmann machines and neural networks.
no code implementations • 10 May 2021 • Sujie Li, Feng Pan, Pengfei Zhou, Pan Zhang
Using numerical experiments, we demonstrate that the proposed algorithm is much more accurate than the state-of-the-art machine learning methods in estimating the partition function of restricted Boltzmann machines and deep Boltzmann machines, and have potential applications in training deep Boltzmann machines for general machine learning tasks.
1 code implementation • 6 Dec 2019 • Feng Pan, Pengfei Zhou, Sujie Li, Pan Zhang
We present a general method for approximately contracting tensor networks with an arbitrary connectivity.
Computational Physics Statistical Mechanics Strongly Correlated Electrons Quantum Physics