论文标题
多体的Szilard引擎，具有巨大的数字波动
A many-body Szilard engine with giant number fluctuations
论文作者
论文摘要
Szilárd的信息引擎是信息热力学领域的规范示例。我们在实验上意识到了由活性颗粒组成的宏观多颗粒Szilárd发动机，并用它来提高重力质量。我们表明，当升高的重量在过程中更逐渐改变时，每个周期的可提取工作会增加。有趣的是，我们发现，由于巨大的数量波动，理想的可提取工作随粒子数量而增长。这与在热颗粒上运行的类似发动机的计算行为相反。
Szilárd's information engine is a canonical example in the field of thermodynamics of information. We realize experimentally a macroscopic many-particle Szilárd engine that consists of active particles and use it to lift a mass against gravity. We show that the extractable work per cycle increases when the raised weight is changed more gradually during the process. Interestingly, we find that the ideal extractable work grows with the number of particles due to giant number fluctuations. This is in contrast to the calculated behavior of a similar engine operating on thermal particles.
