Litcius/Paper detail

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

Gerald E. Fux, Dainius Kilda, Brendon W. Lovett, Jonathan Keeling

2023Physical Review Research38 citationsDOIOpen Access PDF

Abstract

We introduce a general numerical method to compute the dynamics and multitime 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 for one-dimensional 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 they 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 a longer XY chain, when each site couples to its own bath.

Topics & Concepts

Tensor (intrinsic definition)Markov processQuantumComputer scienceStatistical physicsPhysicsMathematicsQuantum mechanicsPure mathematicsStatisticsQuantum many-body systemsAdvanced Thermodynamics and Statistical MechanicsSpectroscopy and Quantum Chemical Studies