论文标题
在自主信息引擎中具有高性能的快速功能化
Fast Functionalization with High Performance in the Autonomous Information Engine
论文作者
论文摘要
Mandal和Jarzynski提出了一个完全自主的信息加热引擎，该发动机由恶魔，质量和记忆寄存器组成，与热储层相互作用。该设备通过将信息写入存储器寄存器或相反，通过消耗机械工作来将信息转换为机械工作。在这里，我们得出了状态转化的放松时间与初始分布和最终分布之间的距离之间的速度限制不平等，而动态活动和熵产生的组合起着重要作用。这种不平等提示，即在功能状态的放松时间与平均产量之间存在速度绩效权衡关系。为了在保持性能的同时获得快速的功能化，我们表明，通过设计恶魔的最佳初始状态，信息热引擎的放松动力学可以显着加速。我们的设计原理的灵感来自所谓的MPEMBA效应，最初加热时水会更快地冻结。
Mandal and Jarzynski have proposed a fully autonomous information heat engine, consisting of a demon, a mass and a memory register interacting with a thermal reservoir. This device converts thermal energy into mechanical work by writing information to a memory register, or conversely, erasing information by consuming mechanical work. Here, we derive a speed limit inequality between the relaxation time of state transformation and the distance between the initial and final distributions, where the combination of the dynamical activity and entropy production plays an important role. Such inequality provides a hint that a speed-performance trade-off relation exists between the relaxation time to functional state and the average production. To obtain fast functionalization while maintaining the performance, we show that the relaxation dynamics of information heat engine can be accelerated significantly by devising an optimal initial state of the demon. Our design principle is inspired by the so-called Mpemba effect, where water freezes faster when initially heated.
