262 citations · 1.3k across the 31 of their papers we have counts for
4 papers · 1 filter
TensorNetwork on TensorFlow: Entanglement Renormalization for quantum critical lattice models
Martin Ganahl, Ashley Milsted, Stefan Leichenauer +2
We use TensorNetwork [C. Roberts et al., arXiv: 1905.01330], a recently developed API for performing tensor network contractions using accelerated backends such as TensorFlow, to i…
Magic entanglement renormalization for quantum fields
Yijian Zou, Martin Ganahl, Guifre Vidal
Continuous tensor networks are variational wavefunctions proposed in recent years to efficiently simulate quantum field theories (QFTs). Prominent examples include the continuous m…
TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks
Ashley Milsted, Martin Ganahl, Stefan Leichenauer +2
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 sta…
TensorNetwork: A Library for Physics and Machine Learning
Chase Roberts, Ashley Milsted, Martin Ganahl +6
TensorNetwork is an open source library for implementing tensor network algorithms. Tensor networks are sparse data structures originally designed for simulating quantum many-body…