Many-body Szilárd engine with giant number fluctuations

Omer Chor, Amir Sohachi, Rémi Goerlich, Eran Rosen, Saar Rahav, Yael Roichman

Research output: Contribution to journalArticlepeer-review


Szilárd's information engine is a canonical example in the field of thermodynamics of information. We realize experimentally a macroscopic many-particle Szilárd engine that consists of active particles and use it to lift a mass against gravity. We show that the extractable work per cycle increases when the raised weight is changed more gradually during the process. Interestingly, we find that the ideal extractable work grows with the number of particles due to giant number fluctuations. This is in contrast to the calculated behavior of a similar engine operating on thermal particles.

Original languageEnglish
Article number043193
JournalPhysical Review Research
Issue number4
StatePublished - Oct 2023


FundersFunder number
European Research Council
Israel Science Foundation385/21, 1929/21
Horizon 2020101002392


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