Corpus ID: 201645192

DMRG Approach to Optimizing Two-Dimensional Tensor Networks

@article{Hyatt2019DMRGAT,
  title={DMRG Approach to Optimizing Two-Dimensional Tensor Networks},
  author={Katharine Hyatt and E. M. Stoudenmire},
  journal={arXiv: Strongly Correlated Electrons},
  year={2019}
}
Tensor network algorithms have been remarkably successful solving a variety of problems in quantum many-body physics. However, algorithms to optimize two-dimensional tensor networks known as PEPS lack many of the aspects that make the seminal density matrix renormalization group (DMRG) algorithm so powerful for optimizing one-dimensional tensor networks known as matrix product states. We implement a framework for optimizing two-dimensional PEPS tensor networks which includes all of steps that… Expand
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