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Gaussian white noise as a resource for work extraction

Abstract

11 pages, 5 figuresThe present study was supported by KAKENHI (Nos. 25103002 and 26610115). A. D. was employed as an International Research Fellow of the Japan Society for the Promotion of Science

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