Enhancing the performance of coupled quantum Otto thermal machines without entanglement and quantum correlations
Abdelkader El Makouri, Abdallah Slaoui, and Mohammed Daoud

TL;DR
This paper investigates how coupled spin systems can enhance quantum Otto engine performance without relying on entanglement or quantum correlations, emphasizing the role of energy level structure and system size.
Contribution
It demonstrates that efficiency and work improvements are due to energy level structure, not quantum correlations, and explores effects of system size and interaction type on performance.
Findings
Efficiency, work, and COP increase with system size, especially for odd numbers of spins.
Entanglement and quantum correlations are not necessary for performance enhancements.
Energy level structure determines the thermodynamic performance of coupled spin systems.
Abstract
We start with a revision study of two coupled spin- under the influence of Kaplan-Shekhtman-Entin-Wohlman-Aharony (KSEA) interaction and a magnetic field. We first show the role of idle levels, i.e., levels that do not couple to the external magnetic field, when the system is working as a heat engine as well as when it is a refrigerator. Then we extend the results reported in [PRE. 92, (2015) 022142] by showing that it is not necessary to change both the magnetic field as well as the coupling parameters to break the extensive property of the work extracted globally from two coupled spin- as has been demonstrated there. Then we study the role of increasing the number of coupled spins on efficiency, extractable work, and coefficient of performance (COP). First, we consider two- and three-coupled spin- Heisenberg -chain. We prove that the latter can outperform…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Quantum Computing Algorithms and Architecture · Quantum many-body systems
