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相关概念视频

Maximum Power Transfer01:16

Maximum Power Transfer

427
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
427
The Maximum Power Transfer Theorem01:20

The Maximum Power Transfer Theorem

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Consider a linear AC Thevenin equivalent circuit connected to a load impedance.
The load connected draws the current, and the circuit delivers the power to the load. The alternating current flowing through the load is determined using the rectangular form of voltages, currents, network impedance, and load impedance. The average power delivered to the load is obtained from the product of the square of current and load resistance.
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Intensity Of Electromagnetic Waves01:22

Intensity Of Electromagnetic Waves

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The energy transport per unit area per unit time, or the Poynting vector, gives the energy flux of an electromagnetic wave at any specific time. For a plane electromagnetic wave with E0 and B0 as the peak electric and magnetic fields and traveling along the x-axis, the time-varying energy flux can be given by the following equation:
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Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

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The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...
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Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

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Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
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Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

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A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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克服长距离量子密钥分布的强度限制

Ibrahim Almosallam1

  • 1Ministry of Communications and Information Technology, Riyadh 12382, Saudi Arabia.

Entropy (Basel, Switzerland)
|June 26, 2025
PubMed
概括

这项研究通过使用贝叶斯推理来提高量子密钥分布 (QKD) 的安全性,以允许更高的脉冲强度,显著提高密钥速率并扩大对一般化光子数分裂攻击的操作范围.

科学领域:

  • 量子信息科学 量子信息科学
  • 量子密码学 量子密码学
  • 量子通信安全 量子通信安全

背景情况:

  • 量子密钥分布 (QKD) 使用量子力学进行安全的加密密钥交换.
  • 使用弱连贯脉冲的实用QKD系统容易受到光子数分裂 (PNS) 攻击.
  • 现有的协议,如诱状态QKD限制脉冲强度以减轻PNS攻击,限制性能.

研究的目的:

  • 开发一个QKD安全框架,能够抵御普遍的PNS攻击.
  • 为了使QKD系统能够安全地使用更高的脉冲强度.
  • 改进离散变量QKD的关键率和操作范围.

主要方法:

  • 采用贝叶斯推理来从观察到的数据中直接估计关键参数.
  • 利用隐藏的马尔科夫模型 (HMM) 准确地模拟探测器脉冲后的情况.
  • 专注于安全证明,从最坏的情况假设转向依赖观察的推断.

主要成果:

  • 证明安全使用更高的脉冲强度 (高达10光子).
  • 实现了安全密钥率的50倍增加.
  • 扩大了62.2%的操作范围 (到大约200公里).
  • 在当前的诱状态QKD计算中发现了不准确的情况.
关键词:
贝叶斯的推理 贝叶斯的推理诱状态的协议量子密钥的分布 量子密钥分布

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结论:

  • 拟议的贝叶斯推理方法提高了QKD的安全性和性能,可以抵御一般化的PNS攻击.
  • 可以安全地利用更高的脉冲强度,显著改善键速和距离.
  • 对系统缺陷的准确建模,如后脉冲,对于可靠的QKD安全证明至关重要.