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相关概念视频

Entropy02:39

Entropy

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Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
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Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

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The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
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The Second Law of Thermodynamics01:14

The Second Law of Thermodynamics

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In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Scientists refer to the measure of randomness or disorder within a system as entropy. High entropy means high disorder and low energy. To better understand entropy, think of a student’s bedroom. If no energy or work were put into it, the room would quickly become messy. It would exist in a very disordered state, one of high entropy. Energy must be...
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Third Law of Thermodynamics02:38

Third Law of Thermodynamics

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A pure, perfectly crystalline solid possessing no kinetic energy (that is, at a temperature of absolute zero, 0 K) may be described by a single microstate, as its purity, perfect crystallinity,and complete lack of motion means there is but one possible location for each identical atom or molecule comprising the crystal (W = 1). According to the Boltzmann equation, the entropy of this system is zero.
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Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

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In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
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Entropy within the Cell01:22

Entropy within the Cell

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A living cell's primary tasks of obtaining, transforming, and using energy to do work may seem simple. However, the second law of thermodynamics explains why these tasks are harder than they appear. None of the energy transfers in the universe are completely efficient. In every energy transfer, some amount of energy is lost in a form that is unusable. In most cases, this form is heat energy. Thermodynamically, heat energy is defined as the energy transferred from one system to another that...
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Updated: Jun 10, 2025

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
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Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

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一般化积累的积.

Tony Metger1, Omar Fawzi2, David Sutter3

  • 1Institute for Theoretical Physics, ETH Zurich, 8093 Zurich, Switzerland.

Communications in mathematical physics
|October 15, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了对有更新侧信息的顺序过程的通用积定理 (EAT). 它提供了输出最小的下界,增强了加密协议的安全证明,如随机扩展和量子密钥分布.

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科学领域:

  • 量子信息理论 量子信息理论
  • 密码学 密码学 密码学 密码学
  • 数学物理 数学物理

背景情况:

  • 标准的积积累定理 (EAT) 由于其侧面信息的限制性模型存在局限性.
  • 现有的加密协议通常涉及复杂的顺序过程,并具有不断变化的侧信息.

研究的目的:

  • 以可更新的侧面信息对顺序过程进行EAT的概括.
  • 为了确定输出的最小的下限,取决于最终的侧信息.
  • 扩大EAT在加密安全证明中的适用性.

主要方法:

  • 为顺序过程开发一个通用的非信号条件.
  • 应用Uhlmann定理的一个新变体.
  • 为雷尼分歧和引出新的链条规则.

主要成果:

  • 证明了一个通用化的EAT,根据单个步骤的·诺伊曼,限制了输出的最小.
  • 与原来的EAT相比,一般化的EAT可以容纳更灵活的侧面信息模型.
  • 该定理的应用是为了提供第一个盲目随机扩展的多轮安全证明,并简化E91 QKD协议分析.

结论:

  • 广义化的EAT为分析量子加密协议提供了更通用的工具.
  • 开发的新数学工具可能具有独立的理论意义.
  • 这项工作促进了量子密码学中更容易获得和更广泛的安全证明.