arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1111.5074quant-phcond-mat.stat-mechphysics.data-an
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Maxwell's Demon辅助的最优循环多粒子量子Szilard发动机

Multi-Particle Quantum Szilard Engine with Optimal Cycles Assisted by a Maxwell's Demon

C. Y. Cai, H. Dong, C. P. Sun

摘要:

本文给出了由一个工作物质和一个麦克斯韦妖组成的多粒子Szilard发动机的全量子描述。恶魔被建模为具有特定量子控制的多能级量子系统,工作物质由服从玻色-爱因斯坦或费米-狄拉克统计的相同粒子组成。在本说明书中,使用通过较低温度的热浴来擦除恶魔的记忆的可逆方案。结果表明:(1)对于单粒子Szilard发动机,可以对Demon的量子控制进行优化,使Demon辅助热力学循环的效率达到卡诺循环的效率;(2)工质的低温行为对粒子的量子统计特性和隔板的插入位置非常敏感。

英文摘要:

We present a complete-quantum description of multi-particle Szilard engine which consists of a working substance and a Maxwell's demon. The demon is modeled as a multi-level quantum system with specific quantum control and the working substance consists of identical particles obeying Bose-Einstein or Fermi-Dirac statistics. In this description, a reversible scheme to erase the demon's memory by a lower temperature heat bath is used. We demonstrate that (1) the quantum control of the demon can be optimized for single-particle Szilard engine so that the efficiency of the demon-assisted thermodynamic cycle could reach the Carnot cycle's efficiency; (2) the low-temperature behavior of the working substance is very sensitive to the quantum statistics of the particles and the insertion position of the partition.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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