Precision-dissipation trade-off for driven stochastic systems

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Precision-dissipation trade-off for driven stochastic systems. / Proesmans, Karel.

In: Communications Physics, Vol. 6, No. 1, 226, 24.08.2023.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Proesmans, K 2023, 'Precision-dissipation trade-off for driven stochastic systems', Communications Physics, vol. 6, no. 1, 226. https://doi.org/10.1038/s42005-023-01343-5

APA

Proesmans, K. (2023). Precision-dissipation trade-off for driven stochastic systems. Communications Physics, 6(1), [226]. https://doi.org/10.1038/s42005-023-01343-5

Vancouver

Proesmans K. Precision-dissipation trade-off for driven stochastic systems. Communications Physics. 2023 Aug 24;6(1). 226. https://doi.org/10.1038/s42005-023-01343-5

Author

Proesmans, Karel. / Precision-dissipation trade-off for driven stochastic systems. In: Communications Physics. 2023 ; Vol. 6, No. 1.

Bibtex

@article{d3e3223c213040dca3ce274f1473e5c1,
title = "Precision-dissipation trade-off for driven stochastic systems",
abstract = "Over the last few decades, stochastic thermodynamics has emerged as a framework to study the thermodynamics of small-scaled systems. The relation between entropy production and precision is one of the most prominent research topics in this field. In this paper, I answer the question how much dissipation is needed to follow a pre-determined trajectory. This will be done by deriving a trade-off relation between how precisely a mesoscopic system can follow a pre-defined trajectory and how much the system dissipates. In the high-precision limit, the minimal amount of dissipation is inversely proportional to the expected deviation from the pre-defined trajectory. Furthermore, I will derive the protocol that maximizes the precision for a given amount of dissipation. The optimal time-dependent force field is a conservative energy landscape which combines a shifted version of the initial energy landscape and a quadratic energy landscape. The associated time-dependent probability distribution conserves its shape throughout the optimal protocol. Potential applications are discussed in the context of bit erasure and electronic circuits.",
author = "Karel Proesmans",
note = "Publisher Copyright: {\textcopyright} 2023, Springer Nature Limited.",
year = "2023",
month = aug,
day = "24",
doi = "10.1038/s42005-023-01343-5",
language = "English",
volume = "6",
journal = "Communications Physics",
issn = "2399-3650",
publisher = "Springer",
number = "1",

}

RIS

TY - JOUR

T1 - Precision-dissipation trade-off for driven stochastic systems

AU - Proesmans, Karel

N1 - Publisher Copyright: © 2023, Springer Nature Limited.

PY - 2023/8/24

Y1 - 2023/8/24

N2 - Over the last few decades, stochastic thermodynamics has emerged as a framework to study the thermodynamics of small-scaled systems. The relation between entropy production and precision is one of the most prominent research topics in this field. In this paper, I answer the question how much dissipation is needed to follow a pre-determined trajectory. This will be done by deriving a trade-off relation between how precisely a mesoscopic system can follow a pre-defined trajectory and how much the system dissipates. In the high-precision limit, the minimal amount of dissipation is inversely proportional to the expected deviation from the pre-defined trajectory. Furthermore, I will derive the protocol that maximizes the precision for a given amount of dissipation. The optimal time-dependent force field is a conservative energy landscape which combines a shifted version of the initial energy landscape and a quadratic energy landscape. The associated time-dependent probability distribution conserves its shape throughout the optimal protocol. Potential applications are discussed in the context of bit erasure and electronic circuits.

AB - Over the last few decades, stochastic thermodynamics has emerged as a framework to study the thermodynamics of small-scaled systems. The relation between entropy production and precision is one of the most prominent research topics in this field. In this paper, I answer the question how much dissipation is needed to follow a pre-determined trajectory. This will be done by deriving a trade-off relation between how precisely a mesoscopic system can follow a pre-defined trajectory and how much the system dissipates. In the high-precision limit, the minimal amount of dissipation is inversely proportional to the expected deviation from the pre-defined trajectory. Furthermore, I will derive the protocol that maximizes the precision for a given amount of dissipation. The optimal time-dependent force field is a conservative energy landscape which combines a shifted version of the initial energy landscape and a quadratic energy landscape. The associated time-dependent probability distribution conserves its shape throughout the optimal protocol. Potential applications are discussed in the context of bit erasure and electronic circuits.

U2 - 10.1038/s42005-023-01343-5

DO - 10.1038/s42005-023-01343-5

M3 - Journal article

AN - SCOPUS:85168675340

VL - 6

JO - Communications Physics

JF - Communications Physics

SN - 2399-3650

IS - 1

M1 - 226

ER -

ID: 365665894