论文标题
工程加热发动机纯粹由量子相干驱动
Engineering a heat engine purely driven by quantum coherence
论文作者
论文摘要
量子相干性是对量子热发动机性能的有益或有害的资源的问题，但仍未确定。为了隔离相干性的贡献，我们分析了纯相干驱动的量子加热发动机的性能，该器件在热力学循环中不包括任何热流。该发动机是由多Qubit系统的连贯性提供动力的，其中每个量子位均通过与Jaynes-Cummings型号的连贯性浴缸相互作用来充电。我们证明，当连贯性浴缸具有中等程度的连贯性时，可以实现最佳的相干充电和可提取的工作。在我们的模型中，当使用四个带电量子位的副本时，可提取的工作最大化。同时，通过避免在工作中无法访问的系统托管相关性中存储的连贯性，可以优化发动机的效率，该发动机的可提取工作可提取工作。我们从数值上发现，与最佳连贯性充电相比，对于稍低的温度和系统浴耦合，获得的效率最高。
The question of whether quantum coherence is a resource beneficial or detrimental to the performance of quantum heat engines has been thoroughly studied but remains undecided. To isolate the contribution of coherence, we analyze the performance of a purely coherence-driven quantum heat engine, a device that does not include any heat flow during the thermodynamic cycle. The engine is powered by the coherence of a multiqubit system, where each qubit is charged via interaction with a coherence bath using the Jaynes-Cummings model. We demonstrate that optimal coherence charging and hence extractable work is achieved when the coherence bath has an intermediate degree of coherence. In our model, the extractable work is maximized when four copies of the charged qubits are used. Meanwhile, the efficiency of the engine, given by the extractable work per input coherence flow, is optimized by avoiding the coherence being stored in the system-bath correlations that is inaccessible to work. We numerically find that the highest efficiency is obtained for slightly lower temperatures and weaker system-bath coupling than those for optimal coherence charging.
