Tensor network methods for non-perturbative dynamics of open quantum systems
Abstract
The description of open quantum system dynamics beyond the perturbative treatment (usually associated with Markovian master equations) is a computationally challenging task due to the unfavorable exponential scaling of memory kernels. Developed over recent decades in the context of quantum information and condensed matter, tensor networks provide both a new formalism and a toolbox for overcoming previous computational bottlenecks. This framework enables the formulation of non-perturbative, numer...
Description / Details
The description of open quantum system dynamics beyond the perturbative treatment (usually associated with Markovian master equations) is a computationally challenging task due to the unfavorable exponential scaling of memory kernels. Developed over recent decades in the context of quantum information and condensed matter, tensor networks provide both a new formalism and a toolbox for overcoming previous computational bottlenecks. This framework enables the formulation of non-perturbative, numerically exact methods for describing the dynamics of open quantum systems to controllable numerical accuracy. In this review, we present these methods and discuss their commonalities and differences to paint a comprehensive view of the field.
Source: arXiv:2608.09850v1 - http://arxiv.org/abs/2608.09850v1 PDF: https://arxiv.org/pdf/2608.09850v1 Original Link: http://arxiv.org/abs/2608.09850v1
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Aug 11, 2026
Quantum Computing
Quantum Physics
0