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Optimized Lie–Trotter–Suzuki decompositions for two and three non-commuting terms

Publication ,  Journal Article
Barthel, T; Zhang, Y
Published in: Annals of Physics
July 1, 2020

Lie–Trotter–Suzuki decompositions are an efficient way to approximate operator exponentials exp(tH) when H is a sum of n (non-commuting) terms which, individually, can be exponentiated easily. They are employed in time-evolution algorithms for tensor network states, digital quantum simulation protocols, path integral methods like quantum Monte Carlo, and splitting methods for symplectic integrators in classical Hamiltonian systems. We provide optimized decompositions up to order t6. The leading error term is expanded in nested commutators (Hall bases) and we minimize the 1-norm of the coefficients. For n=2 terms, several of the optima we find are close to those in McLachlan (1995). Generally, our results substantially improve over unoptimized decompositions by Forest, Ruth, Yoshida, and Suzuki. We explain why these decompositions are sufficient to efficiently simulate any one- or two-dimensional lattice model with finite-range interactions. This follows by solving a partitioning problem for the interaction graph.

Duke Scholars

Published In

Annals of Physics

DOI

EISSN

1096-035X

ISSN

0003-4916

Publication Date

July 1, 2020

Volume

418

Related Subject Headings

  • Nuclear & Particles Physics
  • 51 Physical sciences
  • 49 Mathematical sciences
  • 02 Physical Sciences
  • 01 Mathematical Sciences
 

Citation

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Barthel, T., & Zhang, Y. (2020). Optimized Lie–Trotter–Suzuki decompositions for two and three non-commuting terms. Annals of Physics, 418. https://doi.org/10.1016/j.aop.2020.168165
Barthel, T., and Y. Zhang. “Optimized Lie–Trotter–Suzuki decompositions for two and three non-commuting terms.” Annals of Physics 418 (July 1, 2020). https://doi.org/10.1016/j.aop.2020.168165.
Barthel, T., and Y. Zhang. “Optimized Lie–Trotter–Suzuki decompositions for two and three non-commuting terms.” Annals of Physics, vol. 418, July 2020. Scopus, doi:10.1016/j.aop.2020.168165.
Journal cover image

Published In

Annals of Physics

DOI

EISSN

1096-035X

ISSN

0003-4916

Publication Date

July 1, 2020

Volume

418

Related Subject Headings

  • Nuclear & Particles Physics
  • 51 Physical sciences
  • 49 Mathematical sciences
  • 02 Physical Sciences
  • 01 Mathematical Sciences