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A Szilard Engine is a hypothetical device which is able to extract work from a single thermal reservoir by measuring the position of particles within the engine. We derive the amount of work that can be extracted from such a device in the…

Quantum Physics · Physics 2016-05-23 Martin Plesch , Oscar Dahlsten , John Goold , Vlatko Vedral

A 1929 Gedankenexperiment proposed by Szil\'ard, often referred to as "Szil\'ard's engine", has served as a foundation for computing fundamental thermodynamic bounds to information processing. While Szil\'ard's original box could be…

Szil\'ard's information engine is a canonical example in the field of thermodynamics of information. We realize experimentally a macroscopic many-particle Szil\'ard engine that consists of active particles and use it to lift a mass against…

Statistical Mechanics · Physics 2023-08-22 Omer Chor , Amir Sohachi , Rémi Goerlich , Eran Rosen , Saar Rahav , Yael Roichman

In this work we have calculated analytically the work extraction in multi-particle Szilard engine. Unlike the previous studies, here we have introduced the biasing in the measurement procedure by inserting the partition at an arbitrary…

Statistical Mechanics · Physics 2016-12-22 P. S. Pal , A. M. Jayannavar

The conversion of thermal energy into work is usually more efficient in the slow-driving regime, where the power output is vanishingly small. Efficient work extraction for fast driving protocols remains an outstanding challenge at the…

We discuss work extraction from classical information engines (e.g., Szil\'ard) with $N$-particles, $q$ partitions, and initial arbitrary non-equilibrium states. In particular, we focus on their {\em optimal} behaviour, which includes the…

Statistical Mechanics · Physics 2020-09-10 Léo Touzo , Matteo Marsili , Neri Merhav , Édgar Roldán

We have found the optimal condition of the work performed by the quantum Szilard engine (SZE) containing multi-particles. Usually the optimal work of a cyclic engine is achieved when the whole thermodynamic process is reversible. Although…

Quantum Physics · Physics 2014-01-09 Hee Joon Jeon , Sang Wook Kim

Szilard engine(SZE) is one of the best example of how information can be used to extract work from a system. Initially, the working substance of SZE was considered to be a single particle. Later on, researchers has extended the studies of…

Statistical Mechanics · Physics 2017-01-26 P. S. Pal , A. M. Jayannavar

In a classic thought experiment, Szilard suggested a heat engine where a single particle, for example an atom or a molecule, is confined in a container coupled to a single heat bath. The container can be separated into two parts by a…

The out of equilibrium nature of active systems can be exploited for the design of information-based engines. We design two types of an active Szilard engine that use a Maxwell daemon to extract work from an active bath composed of…

Soft Condensed Matter · Physics 2022-12-07 P. Malgaretti , H. Stark

The Szilard engine is the simplest possible engine, composed only of one or more particles in a box. The box is then immersed in a heat bath and partitioned into two parts by a wall. It is known that in the cold temperature limit, one may…

Quantum Physics · Physics 2013-08-08 T. K. Chuan , D. Kaszlikowski

Isothermal information engines operate by extracting net work from a single heat bath through measurement and feedback control. In this work, we analyze a realistic active Szilard engine operating on a single active particle by means of…

Statistical Mechanics · Physics 2025-05-15 Luca Cocconi , Paolo Malgaretti , Holger Stark

The key question of this paper is whether work can be extracted from a heat engine by using purely quantum mechanical information. If the answer is yes, what is its mathematical formula? First, by using a bipartite memory we show that the…

Quantum Physics · Physics 2015-06-15 Jung Jun Park , Kang-Hwan Kim , Takahiro Sagawa , Sang Wook Kim

By developing and leveraging an explicit molecular realisation of a measurement-and-feedback-powered Szilard engine, we investigate the extraction of work from complex environments by minimal machines with finite capacity for memory and…

Statistical Mechanics · Physics 2019-09-04 Rory A. Brittain , Nick S. Jones , Thomas E. Ouldridge

We derive the work performed in the Szilard engine (SZE) by using dissipative work formula of non-equilibrium thermodynamics developed in Kawai et al. Phys. Rev. Lett. 98, 080602 (2007). The work is described as the difference of…

Statistical Mechanics · Physics 2011-08-29 Kang-Hwan Kim , Sang Wook Kim

The Szilard engine stands as a compelling illustration of the intricate interplay between information and thermodynamics. While at thermodynamic equilibrium, the apparent breach of the second law of thermodynamics was reconciled by Landauer…

Statistical Mechanics · Physics 2024-01-17 Luca Cocconi , Letian Chen

We present a critical examination of the difficulties with the quantum versions of a lifted weight that are widely used as work storage systems in quantum thermodynamics. To overcome those difficulties, we turn to the strong connections…

Quantum Physics · Physics 2019-06-05 Shang-Yung Wang

We study the efficiency of a single particle Szilard and Carnot engine. Within a first order correction to the quasi-static limit, the work distribution is found to be Gaussian and the correction factor to average work and efficiency only…

Statistical Mechanics · Physics 2015-09-09 Karel Proesmans , Cedric Driesen , Bart Cleuren , Christian Van den Broeck

In a recent paper [Vaikuntanathan and Jarzynski, Phys. Rev. E {\bf 83}, 061120 (2011), arXiv:1105.1744] a model was introduced whereby work could be extracted from a thermal bath by measuring the energy of a particle that was thermalized by…

Statistical Mechanics · Physics 2015-06-17 Joakim Bergli

Quantum Szilard engine constitutes an adequate interplay of thermodynamics, information theory and quantum mechanics. Szilard engines are in general operated by a Maxwell's Demon where Landauer's principle resolves the apparent paradoxes.…

Quantum Physics · Physics 2020-04-22 Alhun Aydin , Altug Sisman , Ronnie Kosloff
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