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arXiv 1302.0469cond-mat.stat-mech
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量子力学引擎模型及其效率

Quantum-mechanical engine models and their efficiencies

Jianhui Wang, Yongli Ma, Jizhou He

摘要:

基于量子热力学过程,对典型的热机循环,如卡诺循环、布雷顿循环、奥托循环和狄塞尔循环等进行了量子力学推广。这些热机循环不包括温度,因为在量子力学中能量的概念是有明确定义的,而温度\emph{a priori}不是。这些QM引擎循环是由一个理想的或相互作用的系统与任意数量的粒子限制在一个任意的幂律陷阱。结果表明,量子绝热指数与陷阱指数之间存在着一定的关系,量子绝热循环的效率与经典循环的效率相似,从而证明了量子绝热循环效率的普适性。

英文摘要:

Based on quantum thermodynamic processes, we make a quantum-mechanical (QM) extension of the typical heat engine cycles, such as the Carnot, Brayton, Otto, and Diesel cycles, etc. The temperature is not included in these QM engine cycles, as lies in the fact that the concept of energy is well-defined in quantum mechanics, temperature \emph{a priori} is not. These QM engine cycles are implemented by an ideal or interacting system with an arbitrary number of particles confined in an arbitrary power-law trap. As a result, a relation between the quantum adiabatic exponent and trap exponent is found. The efficiency of a given QM engine cycle is similar to that of its classical counterpart, thereby identifying the universality of the efficiency.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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