Abstract
Employing currently available quantum technology, we design and implement a nonclassically correlated SWAP heat engine that allows to achieve an efficiency above the standard Carnot limit. Such an engine also boosts the amount of extractable work, in a wider parameter window, with respect to engine's cycle in the absence of initial quantum correlations in the working substance. The boosted efficiency arises from a trade-off between the entropy production and the consumption of quantum correlations during the full thermodynamic cycle. We derive a generalized second-law limit for the correlated cycle and implement a proof-of-principle demonstration of the engine efficiency enhancement by effectively tailoring the thermal engine on a cloud quantum processor.
Original language | English |
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Article number | 043104 |
Number of pages | 11 |
Journal | Physical Review Research |
Volume | 5 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2 Nov 2023 |
Bibliographical note
Funding Information:M.H. and J.H.R. acknowledge the financial support from MinCiencias (Colombia) through a Postdoctoral Fellowship Award (Grant No. 270-2021/CI 71295) and the Norwegian Ministry of Education and Research, through the QTECNOS consortium (NORPART 2021-10436/CI 71331). M.H. thanks Universidad Autónoma de Occidente (Colombia) for partial financial support. R.M.S. also acknowledges CNPq, FAPESP (Brazil), and Ministry of Science and Technology (China), through the High-End Foreign Expert Program (Grant No. G2021016021L). I.D. acknowledges the kind hospitality of the Instituto de Física de São Carlos, University of São Paulo, São Carlos (Brazil). We also acknowledge the use of ibmq_manila quantum processor of IBM Quantum services .
Publisher Copyright:
© 2023 authors. Published by the American Physical Society. Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.