A Multisite Decomposition of the Tensor Network Path Integrals
Amartya Bose, Peter L. Walters

TL;DR
This paper introduces an efficient multisite tensor network path integral method to simulate extended open quantum systems, overcoming exponential scaling and enabling analysis of non-equilibrium dynamics with local environments.
Contribution
The authors extend the tensor network path integral framework to multisite systems using a matrix product state decomposition, allowing scalable simulation of extended quantum systems with local dissipation.
Findings
Demonstrated application to spin chains with local baths
Showed local environments can dissipate entanglement
Analyzed transition from coherent to incoherent dynamics
Abstract
Tensor network decompositions of path integrals for simulating open quantum systems have recently been proven to be useful. However, these methods scale exponentially with the system size. This makes it challenging to simulate the non-equilibrium dynamics of extended quantum systems coupled with local dissipative environments. In this work, we extend the tensor network path integral (TNPI) framework to efficiently simulate such extended systems. The Feynman-Vernon influence functional is a popular approach used to account for the effect of environments on the dynamics of the system. In order to facilitate the incorporation of the influence functional into a multisite framework (MS-TNPI), we combine a matrix product state (MPS) decomposition of the reduced density tensor of the system along the sites with a corresponding tensor network representation of the time axis to construct an…
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