• Corpus ID: 239616432

Hybrid stochastic method for the tensor renormalization group

@inproceedings{Ohki2021HybridSM,
  title={Hybrid stochastic method for the tensor renormalization group},
  author={Hiroshi Ohki and Erika Arai and Masaaki Tomii},
  year={2021}
}
We propose a hybrid stochastic method for the tensor renormalization group (TRG) approach. TRG is known as a powerful tool to study the many-body systems and quantum field theory on the lattice. It is based on a low-rank approximation of the tensor using the truncated singular value decomposition (SVD), whose computational cost increases as the bond dimension increases, so that efficient cost reduction techniques are highly demanded. We use noise vectors for the low-rank approximation with the… 

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