Weilenmann Mirjam, Kraemer Lea, Faist Philippe, Renner Renato
Institute for Theoretical Physics, ETH Zurich, 8093 Switzerland.
Department of Mathematics, University of York, Heslington, York, YO10 5DD, United Kingdom.
Phys Rev Lett. 2016 Dec 23;117(26):260601. doi: 10.1103/PhysRevLett.117.260601. Epub 2016 Dec 22.
Thermodynamic entropy, as defined by Clausius, characterizes macroscopic observations of a system based on phenomenological quantities such as temperature and heat. In contrast, information-theoretic entropy, introduced by Shannon, is a measure of uncertainty. In this Letter, we connect these two notions of entropy, using an axiomatic framework for thermodynamics [E. H. Lieb and J. Yngvason Proc. R. Soc. 469, 20130408 (2013)]. In particular, we obtain a direct relation between the Clausius entropy and the Shannon entropy, or its generalization to quantum systems, the von Neumann entropy. More generally, we find that entropy measures relevant in nonequilibrium thermodynamics correspond to entropies used in one-shot information theory.
由克劳修斯定义的热力学熵,基于诸如温度和热量等唯象学量来表征系统的宏观观测。相比之下,由香农引入的信息论熵是不确定性的一种度量。在本信函中,我们使用一个热力学的公理框架[E. H. 利布和J. 英瓦森,《皇家学会学报》469, 20130408 (2013)]将这两种熵的概念联系起来。特别地,我们得到了克劳修斯熵与香农熵之间的直接关系,或者其对量子系统的推广——冯·诺依曼熵。更一般地,我们发现非平衡热力学中相关的熵度量对应于单次信息论中使用的熵。