Paneru Govind, Lee Dong Yun, Tlusty Tsvi, Pak Hyuk Kyu
Center for Soft and Living Matter, Institute for Basic Science (IBS), Ulsan 44919, Republic of Korea.
Department of Physics, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
Phys Rev Lett. 2018 Jan 12;120(2):020601. doi: 10.1103/PhysRevLett.120.020601.
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.
我们报道了一种无损信息引擎,它能将无差错反馈协议中几乎所有可用信息转化为机械功。该引擎结合了分辨率为1纳米的高精度检测与超快反馈控制,经调谐可从布朗粒子位置信息中提取最大功。我们表明,该引擎产生的功达到了广义热力学第二定律所设定的界限,首次证明了这一界限的精确性。我们验证了适用于无差错反馈控制信息引擎的广义雅津斯基等式。