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dc.contributor.authorKolchinsky, Artemy
dc.contributor.authorMarvian, Iman
dc.contributor.authorGokler, Can
dc.contributor.authorLiu, Zi-Wen
dc.contributor.authorShor, Peter
dc.contributor.authorShtanko, Oles
dc.contributor.authorThompson, Kevin
dc.contributor.authorWolpert, David
dc.contributor.authorLloyd, Seth
dc.date.accessioned2025-02-03T16:30:44Z
dc.date.available2025-02-03T16:30:44Z
dc.date.issued2025-01-20
dc.identifier.urihttps://hdl.handle.net/1721.1/158156
dc.description.abstractMaximizing the amount of work harvested from an environment is important for a wide variety of biological and technological processes, from energy-harvesting processes such as photosynthesis to energy storage systems such as fuels and batteries. Here, we consider the maximization of free energy—and by extension, the maximum extractable work—that can be gained by a classical or quantum system that undergoes driving by its environment. We consider how the free energy gain depends on the initial state of the system while also accounting for the cost of preparing the system. We provide simple necessary and sufficient conditions for increasing the gain of free energy by varying the initial state. We also derive simple formulae that relate the free energy gained using the optimal initial state rather than another suboptimal initial state. Finally, we demonstrate that the problem of finding the optimal initial state may have two distinct regimes, one easy and one difficult, depending on the temperatures used for preparation and work extraction. We illustrate our results on a simple model of an information engine.en_US
dc.publisherMultidisciplinary Digital Publishing Instituteen_US
dc.relation.isversionofhttp://dx.doi.org/10.3390/e27010091en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceMultidisciplinary Digital Publishing Instituteen_US
dc.titleMaximizing Free Energy Gainen_US
dc.typeArticleen_US
dc.identifier.citationKolchinsky, A.; Marvian, I.; Gokler, C.; Liu, Z.-W.; Shor, P.; Shtanko, O.; Thompson, K.; Wolpert, D.; Lloyd, S. Maximizing Free Energy Gain. Entropy 2025, 27, 91.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematics
dc.contributor.departmentMassachusetts Institute of Technology. Center for Theoretical Physics
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalEntropyen_US
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2025-01-24T13:16:32Z
dspace.date.submission2025-01-24T13:16:31Z
mit.journal.volume27en_US
mit.journal.issue1en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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