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Lossless Brownian Information Engine
Physical Review Letters ( IF 8.1 ) Pub Date : 2018-01-12 00:00:00 , DOI: 10.1103/physrevlett.120.020601
Govind Paneru , Dong Yun Lee , Tsvi Tlusty , Hyuk Kyu Pak

We report on a lossless information engine that converts nearly all available information from an error-free feedback protocol into mechanical work. Combining high-precision detection at a resolution of 1 nm with ultrafast feedback control, the engine is tuned to extract the maximum work from information on the position of a Brownian particle. We show that the work produced by the engine achieves a bound set by a generalized second law of thermodynamics, demonstrating for the first time the sharpness of this bound. We validate a generalized Jarzynski equality for error-free feedback-controlled information engines.

中文翻译:

无损布朗信息引擎

我们报告了一个无损信息引擎,该引擎将几乎所有可用信息从无错误的反馈协议转换为机械功。将分辨率为1 nm的高精度检测与超快速反馈控制相结合,对引擎进行了调整,以从布朗粒子位置信息中提取最大功。我们表明,发动机产生的功达到了由热力学的广义第二定律设定的界限,这首次证明了该界限的清晰度。我们验证了无错误的反馈控制信息引擎的广义Jarzynski等式。
更新日期:2018-01-12
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