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Cited by 748

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Extracting Work from a Single Heat Bath via Vanishing Quantum Coherence

Scully, Marlan O., Zubairy, M. Suhail, Agarwal, Girish S., Walther, Herbert·2003·Science
DOI 10.1126/science.1078955
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Abstract

We present here a quantum Carnot engine in which the atoms in the heat bath are given a small bit of quantum coherence. The induced quantum coherence becomes vanishingly small in the high-temperature limit at which we operate and the heat bath is essentially thermal. However, the phase φ, associated with the atomic coherence, provides a new control parameter that can be varied to increase the temperature of the radiation field and to extract work from a single heat bath. The deep physics behind the second law of thermodynamics is not violated; nevertheless, the quantum Carnot engine has certain features that are not possible in a classical engine.

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Crossref · 10.1126/science.1078955

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Metadata

Authors
Scully, M. O., Zubairy, M. S., Agarwal, G. S., & Walther, H.
Venue
Science
Publisher
American Association for the Advancement of Science (AAAS)
Published
2003-02-07
Volume
299
Issue
5608
Pages
862-864
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
DOI
10.1126/science.1078955
OpenAlex
W1963623744
Cited by
748
References
8
FWCI
5.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Extracting Work from a Single Heat Bath via Vanishing Quantum Coherence. https://app.cochat.ai/papers/10.1126/science.1078955
The paper
Scully, M. O., Zubairy, M. S., Agarwal, G. S., & Walther, H. (2003). Extracting Work from a Single Heat Bath via Vanishing Quantum Coherence. Science. https://doi.org/10.1126/science.1078955

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.