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Unifying time evolution and optimization with matrix product states

(2016) PHYSICAL REVIEW B. 94(16).
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QUTE (Quantum Tensor Networks and Entanglement)
Abstract
We show that the time-dependent variational principle provides a unifying framework for time-evolution methods and optimization methods in the context of matrix product states. In particular, we introduce a new integration scheme for studying time evolution, which can cope with arbitrary Hamiltonians, including those with long-range interactions. Rather than a Suzuki-Trotter splitting of the Hamiltonian, which is the idea behind the adaptive time-dependent density matrix renormalization group method or time-evolving block decimation, our method is based on splitting the projector onto the matrix product state tangent space as it appears in the Dirac-Frenkel time-dependent variational principle. We discuss how the resulting algorithm resembles the density matrix renormalization group (DMRG) algorithm for finding ground states so closely that it can be implemented by changing just a few lines of code and it inherits the same stability and efficiency. In particular, our method is compatible with any Hamiltonian for which ground-state DMRG can be implemented efficiently. In fact, DMRG is obtained as a special case of our scheme for imaginary time evolution with infinite time step.
Keywords
SPIN SYSTEMS, QUANTUM RENORMALIZATION-GROUPS, TENSORS, ALGORITHMS

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Citation

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Chicago
Haegeman, Jutho, Christian Lubich, Ivan Oseledets, Bart Vandereycken, and Frank Verstraete. 2016. “Unifying Time Evolution and Optimization with Matrix Product States.” Physical Review B 94 (16).
APA
Haegeman, J., Lubich, C., Oseledets, I., Vandereycken, B., & Verstraete, F. (2016). Unifying time evolution and optimization with matrix product states. PHYSICAL REVIEW B, 94(16).
Vancouver
1.
Haegeman J, Lubich C, Oseledets I, Vandereycken B, Verstraete F. Unifying time evolution and optimization with matrix product states. PHYSICAL REVIEW B. 2016;94(16).
MLA
Haegeman, Jutho et al. “Unifying Time Evolution and Optimization with Matrix Product States.” PHYSICAL REVIEW B 94.16 (2016): n. pag. Print.
@article{8152454,
  abstract     = {We show that the time-dependent variational principle provides a unifying framework for time-evolution methods and optimization methods in the context of matrix product states. In particular, we introduce a new integration scheme for studying time evolution, which can cope with arbitrary Hamiltonians, including those with long-range interactions. Rather than a Suzuki-Trotter splitting of the Hamiltonian, which is the idea behind the adaptive time-dependent density matrix renormalization group method or time-evolving block decimation, our method is based on splitting the projector onto the matrix product state tangent space as it appears in the Dirac-Frenkel time-dependent variational principle. We discuss how the resulting algorithm resembles the density matrix renormalization group (DMRG) algorithm for finding ground states so closely that it can be implemented by changing just a few lines of code and it inherits the same stability and efficiency. In particular, our method is compatible with any Hamiltonian for which ground-state DMRG can be implemented efficiently. In fact, DMRG is obtained as a special case of our scheme for imaginary time evolution with infinite time step.},
  articleno    = {165116},
  author       = {Haegeman, Jutho and Lubich, Christian and Oseledets, Ivan and Vandereycken, Bart and Verstraete, Frank},
  issn         = {2469-9950},
  journal      = {PHYSICAL REVIEW B},
  keywords     = {SPIN SYSTEMS,QUANTUM RENORMALIZATION-GROUPS,TENSORS,ALGORITHMS},
  language     = {eng},
  number       = {16},
  pages        = {10},
  title        = {Unifying time evolution and optimization with matrix product states},
  url          = {http://dx.doi.org/10.1103/PhysRevB.94.165116},
  volume       = {94},
  year         = {2016},
}

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