变化温度比特擦除的非平衡公式

IF 2.2 3区 物理与天体物理 Q2 MECHANICS Journal of Statistical Mechanics: Theory and Experiment Pub Date : 2024-06-25 DOI:10.1088/1742-5468/ad526f
Stephen Whitelam
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引用次数: 0

摘要

兰道尔原理指出,在固定温度 T 下擦除一个信息比特至少需要花费单位功。在这里,我们研究的是不同温度下的擦除,兰道尔的结果并不适用于这种情况。我们将比特擦除表述为一个随机非平衡过程,涉及配置空间的压缩,物理状态和逻辑状态以对称方式相关联。擦除在温度 T 开始和结束,但温度也可以随时间任意变化。根据这种定义,擦除受一组非平衡态波动关系的支配,这些关系表明,不同温度下的擦除所需的功可以小于......。 因此,擦除和位随机化的互补过程可以结合起来,形成一个产生功的引擎循环。
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Nonequilibrium formulation of varying-temperature bit erasure
Landauer’s principle states that erasing a bit of information at fixed temperature T costs at least units of work. Here we investigate erasure at varying temperature, to which Landauer’s result does not apply. We formulate bit erasure as a stochastic nonequilibrium process involving a compression of configuration space, with physical and logical states associated in a symmetric way. Erasure starts and ends at temperature T, but temperature can otherwise vary with time in an arbitrary way. Defined in this way, erasure is governed by a set of nonequilibrium fluctuation relations that show that varying-temperature erasure can done with less work than . As a result, erasure and the complementary process of bit randomization can be combined to form a work-producing engine cycle.
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来源期刊
CiteScore
4.50
自引率
12.50%
发文量
210
审稿时长
1.0 months
期刊介绍: JSTAT is targeted to a broad community interested in different aspects of statistical physics, which are roughly defined by the fields represented in the conferences called ''Statistical Physics''. Submissions from experimentalists working on all the topics which have some ''connection to statistical physics are also strongly encouraged. The journal covers different topics which correspond to the following keyword sections. 1. Quantum statistical physics, condensed matter, integrable systems Scientific Directors: Eduardo Fradkin and Giuseppe Mussardo 2. Classical statistical mechanics, equilibrium and non-equilibrium Scientific Directors: David Mukamel, Matteo Marsili and Giuseppe Mussardo 3. Disordered systems, classical and quantum Scientific Directors: Eduardo Fradkin and Riccardo Zecchina 4. Interdisciplinary statistical mechanics Scientific Directors: Matteo Marsili and Riccardo Zecchina 5. Biological modelling and information Scientific Directors: Matteo Marsili, William Bialek and Riccardo Zecchina
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