Quick Navigation

Overview Topics Abstract Importance Paper Tools References Reactions Discussion Publication Related

Topics

Quantum Thermodynamics

Power enhancement of heat engines via correlated thermalization in multilevel systems

arXiv
Authors: David Gelbwaser-Klimovsky, Wolfgang Niedenzu, Paul Brumer, Gershon Kurizki

Year

2014

Paper ID

46592

Status

Preprint

Abstract Read

~2 min

Abstract Words

99

Citations

N/A

Abstract

We analyze a heat machine based on a periodically-driven quantum system permanently coupled to hot and cold baths. It is shown that the maximal power output of a degenerate V-type three-level heat engine is that generated by two independent two-level systems. For N levels, this maximal enhancement is (N-1)-fold. Hence, level degeneracy is a thermodynamic resource that may effectively boost the power output. The efficiency, however, is not affected. We find that coherence is not an essential asset in multilevel-based heat machines. The existence of multiple thermalization pathways sharing a common ground state suffices for power enhancement.

Why This Paper Matters

  • This paper contributes to the Quantum Thermodynamics research area in the Quantum Articles archive.
  • It adds a 2014 reference point for readers tracking recent quantum research.
  • We analyze a heat machine based on a periodically-driven quantum system permanently coupled to hot and cold baths.

Paper Tools

Become a member to use research tools

Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.

Become a member Sign in
Show Paper arXiv Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

[1] DOI https://doi.org/arXiv:1411.1388 [2] arXiv https://arxiv.org/abs/1411.1388 [3] Publisher https://arxiv.org/abs/1411.1388

Local Citation Graph (Related-Paper Links)

Current Paper #46592 #68438 Anomalous Decay of Quantum Reso...

External citation index: OpenAlex citation signal

Community Reactions

Quick sentiment from readers on this paper.

Score: 0
Likes: 0 Dislikes: 0

Sign in to react to this paper.

Discussion & Reviews (Moderated)

Average Rating: 0.0 / 5 (0 ratings)

No written reviews yet.