PLESCH, Martin, Oscar DAHLSTEN, John GOOLD and Vlatko VEDRAL. Maxwell's Daemon: Information versus Particle Statistics. Scientific Reports. LONDON: Nature Publishing Group, 2014, vol. 4, No 1, p. 1-20, 7 pp. ISSN 2045-2322. Available from: https://dx.doi.org/10.1038/srep06995. |
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@article{1299530, author = {Plesch, Martin and Dahlsten, Oscar and Goold, John and Vedral, Vlatko}, article_location = {LONDON}, article_number = {1}, doi = {http://dx.doi.org/10.1038/srep06995}, keywords = {Information - particle statistics}, language = {eng}, issn = {2045-2322}, journal = {Scientific Reports}, title = {Maxwell's Daemon: Information versus Particle Statistics}, volume = {4}, year = {2014} }
TY - JOUR ID - 1299530 AU - Plesch, Martin - Dahlsten, Oscar - Goold, John - Vedral, Vlatko PY - 2014 TI - Maxwell's Daemon: Information versus Particle Statistics JF - Scientific Reports VL - 4 IS - 1 SP - 1-20 EP - 1-20 PB - Nature Publishing Group SN - 20452322 KW - Information - particle statistics N2 - 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. ER -
PLESCH, Martin, Oscar DAHLSTEN, John GOOLD and Vlatko VEDRAL. Maxwell's Daemon: Information versus Particle Statistics. \textit{Scientific Reports}. LONDON: Nature Publishing Group, 2014, vol.~4, No~1, p.~1-20, 7 pp. ISSN~2045-2322. Available from: https://dx.doi.org/10.1038/srep06995.
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