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相关概念视频

Propagation of Uncertainty from Random Error00:59

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Propagation of Uncertainty from Systematic Error01:10

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The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
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Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

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A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
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BIBO stability of continuous and discrete -time systems01:24

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System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
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The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
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In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
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相关实验视频

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Quasi-light Storage for Optical Data Packets
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连续变量量子密钥分布的速率兼容的LDPC代码在广泛的SNRs模式中.

Xiaodong Fan1,2, Quanhao Niu1,2, Tao Zhao1,2

  • 1Laboratory of Nanophotonic Functional Materials and Devices, South China Normal University, Guangzhou 510006, China.

Entropy (Basel, Switzerland)
|July 8, 2023
PubMed
概括

我们开发了连续变量量子密钥分布 (CV-QKD) 的速度兼容的低密度平价兼容 (LDPC) 代码,以处理杂的通道. 这提高了效率和关键利率,即使在不稳定的条件下.

关键词:
在LDPC中使用LDPC.连续变量的量子密钥分布利率相容的相容率是相容的广泛的SNRs制度的范围.

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科学领域:

  • 量子信息科学 量子信息科学
  • 编码理论编码理论
  • 量子密码学 量子密码学

背景情况:

  • 连续变量量子密钥分布 (CV-QKD) 面临着变量量子通道噪声和低信号对噪声比率 (SNR) 的挑战.
  • 现有的CV-QKD速度兼容的方法是资源密集型的,消耗大量的硬件和秘密密钥资源.

研究的目的:

  • 为适用于CV-QKD的速度兼容的低密度平价兼容 (LDPC) 代码提出一个新的设计规则.
  • 为了提高效率,使用单一的检查矩阵覆盖所有潜在的SNR.

主要方法:

  • 设计具有单一检查矩阵的长块长度率兼容的LDPC代码.
  • 在CV-QKD系统中实施这些信息协调代码.

主要成果:

  • 在CV-QKD信息协调中实现了91.80%的高协调效率.
  • 与现有方案相比,证明了更高的硬件处理效率和更低的错误率.
  • 在不稳定的量子通道中实现了高的实际秘密密钥速率和延长的传输距离.

结论:

  • 拟议的LDPC代码设计在具有挑战性的通道条件下为CV-QKD提供了有效的解决方案.
  • 这种方法显著提高了CV-QKD系统的实用性和性能.
  • 单一检查矩阵设计优化了资源利用,同时保持高安全性和可靠性.