A 1929 Gedankenexperiment proposed by Szilárd, often referred to as "Szilárd engine", has served as a foundation for computing fundamental thermodynamic bounds to information processing. While Szilárd's original box could be partitioned into two halves, and contains one gas molecule, we calculate here the maximal average work that can be extracted when N particles and q partitions are available. For a work extraction protocol that equalizes the pressure, we find that the average extracted work is proportional to the mutual information between the one-particle position and the vector containing the counts of how many particles are in each partition. We optimize this over the locations of the dividing walls, and find that there exists a critical value N⋆(q) below which the extracted work is maximized by a symmetric configuration of partitions and above which the optimal partitioning is an asymmetric one. Overall, the average work is maximized for N̂ (q)
Optimal work extraction and mutual information in a generalized Szilárd engine / Song, Juyong; Still, Susanne; DIAZ HERNANDEZ ROJAS, RAFAEL ALBERTO; PEREZ CASTILLO, Isaac; Marsili, Matteo. - In: PHYSICAL REVIEW. E. - ISSN 2470-0053. - 103:5(2021). [10.1103/PhysRevE.103.052121]
Optimal work extraction and mutual information in a generalized Szilárd engine
Rafael Díaz Hernández Rojas
;Isaac Pérez Castillo;Matteo Marsili
2021
Abstract
A 1929 Gedankenexperiment proposed by Szilárd, often referred to as "Szilárd engine", has served as a foundation for computing fundamental thermodynamic bounds to information processing. While Szilárd's original box could be partitioned into two halves, and contains one gas molecule, we calculate here the maximal average work that can be extracted when N particles and q partitions are available. For a work extraction protocol that equalizes the pressure, we find that the average extracted work is proportional to the mutual information between the one-particle position and the vector containing the counts of how many particles are in each partition. We optimize this over the locations of the dividing walls, and find that there exists a critical value N⋆(q) below which the extracted work is maximized by a symmetric configuration of partitions and above which the optimal partitioning is an asymmetric one. Overall, the average work is maximized for N̂ (q)File | Dimensione | Formato | |
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