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Neural network operations and Susuki–Trotter evolution of neural network states
International Journal of Quantum Information
It was recently proposed to leverage the representational power of arti¯cial neural networks, in particular Restricted Boltzmann Machines, in order to model complex quantum states of many-body systems [G. Carleo and M. Troyer, Science 355(6325) (2017) 602.]. States represented in this way, called Neural Network States (NNSs), were shown to display interesting properties like the ability to e±ciently capture long-range quantum correlations. However, identifying an optimal neural networkdoi:10.1142/s0219749918400087 fatcat:lkcfoan3uzbffdro5zyqjrobs4