论文标题
非马克维亚热作战，促进量子热发动机的性能
Non-Markovian thermal operations boosting the performance of quantum heat engines
论文作者
论文摘要
研究了非马克维亚性（即，系统与系统与环境的耦合产生的记忆效应）是否对量子热发动机的性能有益。具体而言，考虑了两个物理模型。第一个是众所周知的单Qubit Otto发动机。非马克维亚行为是通过用所谓的极端热作战代替标准的热效中风来实现的，没有记忆效应就无法实现。第二个是三冲程发动机，其中循环由两个极端热作战和一个量子旋转组成。结果表明，非马克维亚奥托发动机可以为给定效率产生更多的每个周期工作，而两种设置的性能优于三冲程发动机。此外，与马尔可夫奥托引擎相比，非马克维亚奥托引擎和三冲程发动机都可以减少工作波动，并根据性能目标而相对优势。这证明了非谷物性性对量子热发动机的平均性能和稳定性的有益影响。
It is investigated whether non-Markovianity, i.e., the memory effects resulting from the coupling of the system to its environment, can be beneficial for the performance of quantum heat engines. Specifically, two physical models are considered. The first one is a well known single-qubit Otto engine; the non-Markovian behaviour is there implemented by replacing standard thermalization strokes with so-called extremal thermal operations which cannot be realized without the memory effects. The second one is a three-stroke engine in which the cycle consists of two extremal thermal operations and a single qubit rotation. It is shown that the non-Markovian Otto engine can generate more work-per-cycle for a given efficiency than its Markovian counterpart, whereas performance of both setups is superior to the three-stroke engine. Furthermore, both the non-Markovian Otto engine and the three-stroke engine can reduce the work fluctuations in comparison with the Markovian Otto engine, with their relative advantage depending on the performance target. This demonstrates the beneficial influence of non-Markovianity on both the average performance and the stability of operation of quantum heat engines.
