Published December 15, 2018
| Published + Submitted
Journal Article
Open
Faster methods for contracting infinite two-dimensional tensor networks
Abstract
We revisit the corner transfer matrix renormalization group (CTMRG) method of Nishino and Okunishi for contracting two-dimensional (2D) tensor networks and demonstrate that its performance can be substantially improved by determining the tensors using an eigenvalue solver as opposed to the power method used in CTMRG. We also generalize the variational uniform matrix product state (VUMPS) ansatz for diagonalizing 1D quantum Hamiltonians to the case of 2D transfer matrices and discuss similarities with the corner methods. These two new algorithms will be crucial to improving the performance of variational infinite projected entangled pair state (PEPS) methods.
Additional Information
© 2018 American Physical Society. Received 27 October 2018; revised manuscript received 1 December 2018; published 26 December 2018. M.F. acknowledges helpful feedback from P. R. Corboz and T. Nishino. M. F. would also like to thank S. R. White and E. M. Stoudenmire for useful input on the presentation of the results. The authors gratefully acknowledge support from the National Science Foundation Graduate Research Fellowship Program (NSF GRFP) under Grant No. DGE-1144469 (M.F.), the Austrian Science Fund (FWF): F4104 SFB ViCoM and F4014 SFB FoQuS (V.Z.-S. and F.V.), and the European Research Council (ERC) under Grant No. 715861 (J.H.). J.H. and L.V. are supported by the Research Foundation Flanders (FWO). This project has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (Grant Agreement No. 647905). This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation Grant No. ACI-1548562.Attached Files
Published - PhysRevB.98.235148.pdf
Submitted - 1711.05881.pdf
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1711.05881.pdf
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Additional details
- Alternative title
- Faster Methods for Contracting Infinite 2D Tensor Networks
- Eprint ID
- 87361
- Resolver ID
- CaltechAUTHORS:20180626-152653715
- DGE-1144469
- NSF Graduate Research Fellowship
- F4104 SFB ViCoM
- FWF Der Wissenschaftsfonds
- F4014 SFB FoQuS
- FWF Der Wissenschaftsfonds
- 715861
- European Research Council (ERC)
- Fonds Wetenschappelijk Onderzoek (FWO)
- 647905
- European Research Council (ERC)
- ACI-1548562
- NSF
- Created
-
2018-06-26Created from EPrint's datestamp field
- Updated
-
2021-11-15Created from EPrint's last_modified field
- Caltech groups
- Institute for Quantum Information and Matter