Time-resolved Stochastic Dynamics of Quantum Thermal Machines

Fuente: arXiv
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Hauptverfasser: Hegde, Abhaya S., Potts, Patrick P., Landi, Gabriel T.
Format: Preprint
Veröffentlicht: 2024
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author Hegde, Abhaya S.
Potts, Patrick P.
Landi, Gabriel T.
author_facet Hegde, Abhaya S.
Potts, Patrick P.
Landi, Gabriel T.
contents Steady-state quantum thermal machines are typically characterized by a continuous flow of heat between different reservoirs. However, at the level of discrete stochastic realizations, heat flow is unraveled as a series of abrupt quantum jumps, each representing an exchange of finite quanta with the environment. In this work, we present a framework that resolves the dynamics of quantum thermal machines into cycles classified as engine-like, cooling-like, or idle. We analyze the statistics of individual cycle types and their durations, enabling us to determine both the fraction of cycles useful for thermodynamic tasks and the average waiting time between cycles of a given type. Central to our analysis is the notion of intermittency, which captures the operational consistency of the machine by assessing the frequency and distribution of idle cycles. Our framework offers a novel approach to characterizing thermal machines with significant relevance to experiments involving mesoscopic transport through quantum dots.
format Preprint
id arxiv_https___arxiv_org_abs_2408_00694
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Time-resolved Stochastic Dynamics of Quantum Thermal Machines
Hegde, Abhaya S.
Potts, Patrick P.
Landi, Gabriel T.
Quantum Physics
Statistical Mechanics
Steady-state quantum thermal machines are typically characterized by a continuous flow of heat between different reservoirs. However, at the level of discrete stochastic realizations, heat flow is unraveled as a series of abrupt quantum jumps, each representing an exchange of finite quanta with the environment. In this work, we present a framework that resolves the dynamics of quantum thermal machines into cycles classified as engine-like, cooling-like, or idle. We analyze the statistics of individual cycle types and their durations, enabling us to determine both the fraction of cycles useful for thermodynamic tasks and the average waiting time between cycles of a given type. Central to our analysis is the notion of intermittency, which captures the operational consistency of the machine by assessing the frequency and distribution of idle cycles. Our framework offers a novel approach to characterizing thermal machines with significant relevance to experiments involving mesoscopic transport through quantum dots.
title Time-resolved Stochastic Dynamics of Quantum Thermal Machines
topic Quantum Physics
Statistical Mechanics
url https://arxiv.org/abs/2408.00694