Explicit demonstration of initial state construction in artificial neural networks using NetKet and IBM Q experience platform
暂无分享,去创建一个
[1] David Haussler,et al. Unsupervised learning of distributions on binary vectors using two layer networks , 1991, NIPS 1991.
[2] Lu-Ming Duan,et al. Efficient representation of quantum many-body states with deep neural networks , 2017, Nature Communications.
[3] D. Deng,et al. Quantum Entanglement in Neural Network States , 2017, 1701.04844.
[4] Guglielmo Mazzola,et al. NetKet: A machine learning toolkit for many-body quantum systems , 2019, SoftwareX.
[5] Nicolas Le Roux,et al. Representational Power of Restricted Boltzmann Machines and Deep Belief Networks , 2008, Neural Computation.
[6] Matthias Troyer,et al. Solving the quantum many-body problem with artificial neural networks , 2016, Science.
[7] Marek M. Rams,et al. Quantum neural networks to simulate many-body quantum systems , 2018, Physical Review B.
[8] Guang-Can Guo,et al. Quantum Neural Network States: A Brief Review of Methods and Applications , 2018, Advanced Quantum Technologies.