Optimal performance of generalized heat engines with finite-size baths of arbitrary multiple conserved quantities beyond i.i.d. scaling
Kosuke Ito, Masahito Hayashi

TL;DR
This paper develops a general theory for the optimal performance of quantum heat engines with multiple conserved quantities, considering finite-size baths with volume scaling, and demonstrates how physical parameters like particle mass influence engine efficiency.
Contribution
It introduces a fine-grained generalized Carnot bound for finite-size baths with volume scaling and provides a protocol to achieve this bound in quantum thermodynamics.
Findings
Derived a performance bound considering finite-size effects and volume scaling.
Constructed a protocol to attain the optimal engine performance.
Showed particle mass affects efficiency in a gas-based heat engine.
Abstract
In quantum thermodynamics, effects of finiteness of the baths have been less considered. In particular, there is no general theory which focuses on finiteness of the baths of multiple conserved quantities. Then, we investigate how the optimal performance of generalized heat engines with multiple conserved quantities alters in response to the size of the baths. In the context of general theories of quantum thermodynamics, the size of the baths has been given in terms of the number of identical copies of a system, which does not cover even such a natural scaling as the volume. In consideration of the asymptotic extensivity, we deal with a generic scaling of the baths to naturally include the volume scaling. Based on it, we derive a bound for the performance of generalized heat engines reflecting finite-size effects of the baths, which we call fine-grained generalized Carnot bound. We also…
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