Periodically refreshed quantum thermal machines
Archak Purkayastha, Giacomo Guarnieri, Steve Campbell, Javier Prior,, John Goold

TL;DR
This paper introduces a new class of quantum thermal machines that operate optimally at finite cycle durations by leveraging non-equilibrium steady states, bridging different models and revealing trade-offs between performance and implementation complexity.
Contribution
The paper proposes a novel class of cyclic quantum thermal machines based on Periodically Refreshed Baths, unifying collisional and autonomous QTMs, and provides a mathematical framework for Gaussian systems.
Findings
Maximal performance occurs at finite cycle duration where the process is most irreversible.
Implementation complexity increases with performance optimization, requiring more bath copies.
Connections are established between the PReB process and Zeno effects.
Abstract
We introduce unique class of cyclic quantum thermal machines (QTMs) which can maximize their performance at the finite value of cycle duration where they are most irreversible. These QTMs are based on single-stroke thermodynamic cycles realized by the non-equilibrium steady state (NESS) of the so-called Periodically Refreshed Baths (PReB) process. We find that such QTMs can interpolate between standard collisional QTMs, which consider repeated interactions with single-site environments, and autonomous QTMs operated by simultaneous coupling to multiple macroscopic baths. We discuss the physical realization of such processes and show that their implementation requires a finite number of copies of the baths. Interestingly, maximizing performance by operating in the most irreversible point as a function of comes at the cost of increasing the complexity of realizing such a…
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