Measurement-feedback formalism meets information reservoirs
Measurement-feedback formalism meets information reservoirs
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DOI：
10.1088/1367-2630/18/1/013044
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发表时间：
2015-09
影响因子：
3.3
通讯作者：
Naoto Shiraishi;Takumi Matsumoto;T. Sagawa
中科院分区：
文献类型：
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作者：
Naoto Shiraishi;Takumi Matsumoto;T. Sagawa
信息热力学有两种不同的形式主义：一种是测量反馈形式主义，它涉及具有测量和反馈过程的二分系统，另一种是信息库形式主义，它认为比特序列是热力学燃料。在本文中，我们推导出一个第二定律的不等式，通过应用测量反馈形式主义的信息水库，它提供了一个更强的界的可提取的工作比任何其他已知的不等式在相同的设置。此外，我们证明了Mandal-Jarzynski模型，这是一个突出的模型的信息库形式主义，是等价的一个模型，通过收缩的二分系统与自主测量和反馈。我们的研究结果提供了一个统一的观点上的测量反馈和信息库的形式主义。
There have been two distinct formalisms of thermodynamics of information: one is the measurement-feedback formalism, which concerns bipartite systems with measurement and feedback processes, and the other is the information reservoir formalism, which considers bit sequences as a thermodynamic fuel. In this paper, we derive a second-law-like inequality by applying the measurement-feedback formalism to information reservoirs, which provides a stronger bound of extractable work than any other known inequality in the same setup. In addition, we demonstrate that the Mandal-Jarzynski model, which is a prominent model of the information reservoir formalism, is equivalent to a model obtained by the contraction of a bipartite system with autonomous measurement and feedback. Our results provide a unified view on the measurement-feedback and the information-reservoir formalisms.