English

Tensor network simulation of chains of non-Markovian open quantum systems

Quantum Physics 2023-08-16 v3 Mesoscale and Nanoscale Physics

Abstract

We introduce a general numerical method to compute dynamics and multi-time correlations of chains of quantum systems, where each system may couple strongly to a structured environment. The method combines the process tensor formalism for general (possibly non-Markovian) open quantum systems with time evolving block decimation (TEBD) for 1D chains. It systematically reduces the numerical complexity originating from system-environment correlations before integrating them into the full many-body problem, making a wide range of applications numerically feasible. We illustrate the power of this method by studying two examples. First, we study the thermalization of individual spins of a short XYZ Heisenberg chain with strongly coupled thermal leads. Our results confirm the complete thermalization of the chain when coupled to a single bath, and reveal distinct effective temperatures in low, mid, and high frequency regimes when the chain is placed between a hot and a cold bath. Second, we study the dynamics of diffusion in an longer XY chain, when each site couples to its own bath.

Keywords

Cite

@article{arxiv.2201.05529,
  title  = {Tensor network simulation of chains of non-Markovian open quantum systems},
  author = {Gerald E. Fux and Dainius Kilda and Brendon W. Lovett and Jonathan Keeling},
  journal= {arXiv preprint arXiv:2201.05529},
  year   = {2023}
}

Comments

15 pages, 14 figures