Vibration-induced coherence enhancement of the performance of a biological quantum heat engine
Hong-Bin Chen, Pin-Yi Chiu, Yueh-Nan Chen

TL;DR
This paper demonstrates that vibrational modes can significantly enhance the efficiency of biological quantum heat engines, offering insights into photosynthesis and guiding biomimetic design.
Contribution
It introduces a quantum heat engine model with a non-Markovian vibrational mode, revealing how vibrations improve performance across various parameters.
Findings
Vibrational modes enhance quantum heat engine performance.
Performance gains are robust over a wide parameter range.
Insights into photosynthesis and biomimetic design are provided.
Abstract
Photosynthesis has been a long-standing research interest due to its fundamental importance. Recently, studies on photosynthesis processes also have inspired attention from a thermodynamical aspect when considering photosynthetic apparatuses as biological quantum heat engines. Quantum coherence is shown to play a crucial role in enhancing the performance of these quantum heat engines. Based on the experimentally reported structure, we propose a quantum heat engine model with a non-Markovian vibrational mode. We show that one can obtain a performance enhancement easily for a wide range of parameters in the presence of the vibrational mode. Our results provide insights into the photosynthetic processes and a design principle mimicking natural organisms.
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