Quick Navigation
Topics
Superconducting Qubits
Quantum Thermodynamics
Universality and scaling of optimal heat engines
arXiv
Authors: Michele Campisi, Rosario Fazio
Year
2015
Paper ID
26583
Status
Preprint
Abstract Read
~2 min
Abstract Words
163
Citations
N/A
Abstract
From the steam engine to current nano-devices, the design of efficient thermal machines has been instrumental in modern societies. In its essence a thermal engine can be thought as a working substance, in contact with two or more baths, undergoing a cyclic transformation. What happens if the working substance is on the verge of a phase transition? Already in 1902 the latent heat was identified as a key to improve the efficiency of steam engines Despite this early observation, the impact of phase transitions on the performance of thermal machines has not been addressed. By combining the tools of non-equilibrium and quantum thermodynamics with finite-size-scaling and information theory, we unveil an unnoticed mechanism, triggered by the vicinity to a phase transition, to boost the performance of an engine. This result sheds new light on the so called power-efficiency dilemma and could be used to realise powerful and, at the same time, efficient engines. Specific implementations with trapped ions and superconducting nano-circuits will be discussed.
Why This Paper Matters
- This paper contributes to the Quantum Thermodynamics research area in the Quantum Articles archive.
- It adds a 2015 reference point for readers tracking recent quantum research.
- From the steam engine to current nano-devices, the design of efficient thermal machines has been instrumental in modern societies.
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.
Show Paper arXiv Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
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.