Using the Environment to Understand non-Markovian Open Quantum Systems
Dominic Gribben, Aidan Strathearn, Gerald E. Fux, Peter Kirton,, Brendon W. Lovett

TL;DR
This paper introduces a method to reconstruct the full dynamics of non-Markovian open quantum systems by using system correlations to infer environmental correlations, leveraging tensor network techniques for exact results.
Contribution
It presents a novel approach to infer Gaussian environment correlations from system data, enabling complete system-environment dynamic reconstruction in non-Markovian regimes.
Findings
Successfully reconstructs bath correlation functions from system data.
Demonstrates heat transfer between bosonic bath modes and a driven two-level system.
Uses tensor network methods for numerically exact simulation of open quantum systems.
Abstract
Tracing out the environmental degrees of freedom is a necessary procedure when simulating open quantum systems. While being an essential step in deriving a tractable master equation it represents a loss of information. In situations where there is strong interplay between the system and environmental degrees of freedom this loss makes understanding the dynamics challenging. These dynamics, when viewed in isolation, have no time-local description: they are non-Markovian and memory effects induce complex features that are difficult to interpret. To address this problem, we here show how to use system correlations, calculated by any method, to infer any correlation function of a Gaussian environment, so long as the coupling between system and environment is linear. This not only allows reconstruction of the full dynamics of both system and environment, but also opens avenues into studying…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Quantum, superfluid, helium dynamics · Spectroscopy and Quantum Chemical Studies
