Exploring Non-Markovianity in Ergodic Channels: Measuring Memory Retention through Ergotropy
Ritam Basu, Anish Chakraborty, Himanshu Badhani, Mir Alimuddin and, Samyadeb Bhattacharya

TL;DR
This paper introduces quantum ergodic channels with fixed points, analyzes their non-Markovian ergotropy dynamics, and proposes ergotropy backflow as an indicator of memory effects in quantum thermodynamics.
Contribution
It develops a theoretical framework for quantum ergodic channels, deriving Lindblad equations and linking non-Markovian ergotropy fluctuations to memory effects.
Findings
Ergotropy fluctuates and backflows in non-Markovian dynamics.
Markovian processes show monotonically decreasing ergotropy.
Ergotropy backflow can serve as a non-Markovianity indicator.
Abstract
In this work we introduce and characterize a broad class of quantum operations with a unique fixed point, termed quantum ergodic channels. We derive Lindblad-type master equations for these channels in arbitrary finite dimensions and analyze their non-Markovian dynamics using established measures. When the fixed point is a passive state, the channels exhibit ergotropy dynamics with notable thermodynamic implications. Specifically, under Markovian processes, ergotropy, a measure of the extractable work from a system under unitary evolution monotonically decreases. However, in non-Markovian dynamics, ergotropy fluctuates, leading to a backflow effect that highlights memory-induced resource recovery. Our findings suggest that this ergotropy backflow could serve as an operationally meaningful indicator of non-Markovianity, offering new perspectives on the interplay between memory effects…
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Taxonomy
TopicsNeural dynamics and brain function · Mathematical Dynamics and Fractals · Advanced Thermodynamics and Statistical Mechanics
