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  • 标题:Maxwell's Daemon: Information versus Particle Statistics
  • 本地全文:下载
  • 作者:Martin Plesch ; Oscar Dahlsten ; John Goold
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2015
  • 卷号:4
  • 期号:1
  • DOI:10.1038/srep06995
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:Maxwell's daemon is a popular personification of a principle connecting information gain and extractable work in thermodynamics. A Szilard Engine is a particular hypothetical realization of Maxwell's daemon, which is able to extract work from a single thermal reservoir by measuring the position of particle(s) within the system. Here we investigate the role of particle statistics in the whole process; namely, how the extractable work changes if instead of classical particles fermions or bosons are used as the working medium. We give a unifying argument for the optimal work in the different cases: the extractable work is determined solely by the information gain of the initial measurement, as measured by the mutual information, regardless of the number and type of particles which constitute the working substance.
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