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通过量子态制备实现热机控制:从量子引擎到量子冰箱

Heat-machine control by quantum-state preparation: from quantum engines to refrigerators.

作者信息

Gelbwaser-Klimovsky D, Kurizki G

机构信息

Weizmann Institute of Science, 76100 Rehovot, Israel.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Aug;90(2):022102. doi: 10.1103/PhysRevE.90.022102. Epub 2014 Aug 4.

DOI:10.1103/PhysRevE.90.022102
PMID:25215684
Abstract

We explore the dependence of the performance bounds of heat engines and refrigerators on the initial quantum state and the subsequent evolution of their piston, modeled by a quantized harmonic oscillator. Our goal is to provide a fully quantized treatment of self-contained (autonomous) heat machines, as opposed to their prevailing semiclassical description that consists of a quantum system alternately coupled to a hot or a cold heat bath and parametrically driven by a classical time-dependent piston or field. Here, by contrast, there is no external time-dependent driving. Instead, the evolution is caused by the stationary simultaneous interaction of two heat baths (having distinct spectra and temperatures) with a single two-level system that is in turn coupled to the quantum piston. The fully quantized treatment we put forward allows us to investigate work extraction and refrigeration by the tools of quantum-optical amplifier and dissipation theory, particularly, by the analysis of amplified or dissipated phase-plane quasiprobability distributions. Our main insight is that quantum states may be thermodynamic resources and can provide a powerful handle, or control, on the efficiency of the heat machine. In particular, a piston initialized in a coherent state can cause the engine to produce work at an efficiency above the Carnot bound in the linear amplification regime. In the refrigeration regime, the coefficient of performance can transgress the Carnot bound if the piston is initialized in a Fock state. The piston may be realized by a vibrational mode, as in nanomechanical setups, or an electromagnetic field mode, as in cavity-based scenarios.

摘要

我们研究了热机和制冷机性能界限对初始量子态及其活塞后续演化的依赖性,活塞由量子化简谐振子建模。我们的目标是提供一种对独立(自主)热机的完全量子化处理,这与目前流行的半经典描述不同,半经典描述由一个量子系统交替耦合到热或冷的热库,并由经典的随时间变化的活塞或场进行参数驱动。相比之下,这里不存在外部随时间变化的驱动。相反,演化是由两个具有不同频谱和温度的热库与单个二能级系统的静态同时相互作用引起的,该二能级系统又与量子活塞耦合。我们提出的完全量子化处理使我们能够通过量子光学放大器和耗散理论的工具来研究功的提取和制冷,特别是通过对放大或耗散的相平面准概率分布的分析。我们的主要见解是量子态可能是热力学资源,并且可以对热机的效率提供有力的控制手段。特别是,初始化为相干态的活塞可以使发动机在线性放大区域以高于卡诺界限的效率产生功。在制冷区域,如果活塞初始化为福克态,则制冷系数可以超过卡诺界限。活塞可以由振动模式实现,如在纳米机械装置中,或者由电磁场模式实现,如在基于腔的场景中。

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