Efficient simulation of strong system-environment interactions

TL;DR

This paper introduces an efficient simulation method for strongly interacting multi-component quantum systems with their environment, combining tensor network techniques and orthogonal polynomial theory.

Contribution

It develops a novel approach that effectively simulates open quantum systems with strong system-environment interactions, surpassing traditional perturbative methods.

Findings

Successfully simulates spin-boson models and multi-component systems

Achieves improved efficiency over existing methods

Handles non-perturbative strong interactions

Abstract

Multi-component quantum systems in strong interaction with their environment are receiving increasing attention due to their importance in a variety of contexts, ranging from solid state quantum information processing to the quantum dynamics of bio-molecular aggregates. Unfortunately, these systems are difficult to simulate as the system-bath interactions cannot be treated perturbatively and standard approaches are invalid or inefficient. Here we combine the time dependent density matrix renormalization group methods with techniques from the theory of orthogonal polynomials to provide an efficient method for simulating open quantum systems, including spin-boson models and their generalisations to multi-component systems.