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TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks

2019-05-03Code Available0· sign in to hype

Ashley Milsted, Martin Ganahl, Stefan Leichenauer, Jack Hidary, Guifre Vidal

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Abstract

TensorNetwork is an open source library for implementing tensor network algorithms in TensorFlow. We describe a tree tensor network (TTN) algorithm for approximating the ground state of either a periodic quantum spin chain (1D) or a lattice model on a thin torus (2D), and implement the algorithm using TensorNetwork. We use a standard energy minimization procedure over a TTN ansatz with bond dimension , with a computational cost that scales as O(^4). Using bond dimension [32,256] we compare the use of CPUs with GPUs and observe significant computational speed-ups, up to a factor of 100, using a GPU and the TensorNetwork library.

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