Work Statistics via Real-Time Effective Field Theory: Application to Work Extraction from Thermal Bath with Qubit Coupling
Jhh-Jing Hong, Feng-Li Lin

TL;DR
This paper develops an effective field theory approach to analyze work extraction from quantum thermal states coupled to different types of qubits, providing explicit work distribution functions and insights into quantum heat engine efficiency.
Contribution
It introduces a non-perturbative method to compute work statistics in quantum thermal systems using quasiparticle spectral functions, advancing quantum thermodynamics analysis.
Findings
Work distribution functions are derived for thermal baths with qubit coupling.
Quantum statistics influence the efficiency of quantum heat engines and refrigerators.
Spin and topological qubits outperform other types in heat engine performance.
Abstract
Quantum thermal states are known to be passive, as required by the second law of thermodynamics. This paper investigates the potential for work extraction by coupling a thermal bath to a qubit of either spin, fermionic, or topological type, which acts as a quantum thermal state at different temperatures. The amount of work extraction is derived from the work statistics under a cyclic nonequilibrium process. Although the work statistics of many-body systems are known to be challenging to calculate explicitly, we propose an effective field theory approach to tackle this problem by assuming the externally driven source couples to a specific quasiparticle operator of the thermal state. We show that the work statistics can be expressed succinctly in terms of this quasiparticle's thermal spectral function. We obtain the non-perturbative work distribution function (WDF) for the pure thermal…
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.
