Thermal divergences of quantum measurement engine
Shanhe Su, Zhiyuan Lin, and Jincan Chen

TL;DR
This paper proposes a quantum measurement engine that converts heat to work without frequency modulation, emphasizing the role of thermal divergence and optimizing measurement basis for enhanced performance.
Contribution
It introduces a novel quantum engine model utilizing measurement-driven heat-to-work conversion and links thermal divergence to free energy and entropy for optimization.
Findings
Work output and efficiency are derived under finite-time adiabatic driving.
Thermal divergence plays a crucial role in open quantum systems.
Optimization of measurement basis enhances engine performance.
Abstract
A quantum engine fueled by quantum measurement is proposed. Under the finite-time adiabatic driving regime, the conversion of heat to work is realized without the compression and expansion of the resonance frequency. The work output, quantum heat, and efficiency are derived, highlighting the important role of the thermal divergence recently reappearing in open quantum systems. The key problem of how the measurement basis can be optimized to enhance the performance is solved by connecting the thermal divergence to the nonequilibrium free energy and entropy. The spin-engine architecture offers a comprehensive platform for future investigations of extracting work from quantum measurement.
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Quantum Electrodynamics and Casimir Effect · Thermal Radiation and Cooling Technologies
