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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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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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Random Variables

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A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
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The electric potential of the system can be calculated by relating it to the electric charge densities that give rise to the electric potential. The differential form of Gauss's law expresses the electric field's divergence in terms of the electric charge density.
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A Poisson probability distribution is a discrete probability distribution. It gives the probability of a number of events occurring in a fixed interval of time or space if these events happen at a known average rate and independently of the time since the last event. For example, a book editor might be interested in the number of words spelled incorrectly in a particular book. It might be that, on average, there are five words spelled incorrectly in 100 pages. The interval is 100 pages.
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The German physicist Heinrich Hertz (1857–1894) was the first to generate and detect certain types of electromagnetic waves in the laboratory. Starting in 1887, he performed a series of experiments that confirmed the existence of electromagnetic waves and verified that they travel at the speed of light. Hertz used an alternating-current RLC (resistor-inductor-capacitor) circuit that resonated at a known frequency and connected it to a loop of wire. High voltages induced across the gap in...
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相关实验视频

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Gradient Echo Quantum Memory in Warm Atomic Vapor
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基于SRAM的高斯噪声生成用于后量子密码学.

Moon-Seok Kim1, Seung-Bae Jeon2, Sungho Kim3,4

  • 1Department of Semiconductor Convergence, Chungnam National University, 99 Daehak-Ro, Yuseong-Gu, Daejeon, 34134, Republic of Korea.

Scientific reports
|December 11, 2025
PubMed
概括
此摘要是机器生成的。

一个新的硬件生成器使用SRAM启动状态来创建用于后量子加密 (PQC) 的高斯噪声. 这种轻量级的方法对于面临量子威胁的嵌入式系统是高效和安全的.

关键词:
高斯错误采样器的高斯错误采样器通过错误学习 (LWE)后量子密码学 (PQC) 是一种静态随机访问存储器 (SRAM) 是指静态的随机访问存储器.

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相关实验视频

Last Updated: Jan 8, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
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Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
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科学领域:

  • 密码学 密码学 密码学
  • 计算机工程 计算机工程
  • 信息安全 信息安全

背景情况:

  • 传统的公钥加密 (RSA,ECC) 易受量子攻击的影响.
  • 后量子密码学 (PQC) 依赖高斯噪声,但传统的发电机在计算上昂贵.
  • 轻量级和嵌入式系统需要高效的噪音生成PQC.

研究的目的:

  • 为PQC提出一种新的基于硬件的高斯噪声发生器.
  • 解决现有的噪音生成方法的计算和内存限制.
  • 为保护轻量级和嵌入式系统免受量子威胁提供实用解决方案.

主要方法:

  • 利用静态随机访问内存 (SRAM) 启动状态的固有随机性.
  • 聚合SRAM启动位并计算它们的哈明重量.
  • 在没有模拟组件,大型查找表或外部随机数生成器的情况下生成高斯分布的整数.

主要成果:

  • 拟议的发电机与不同群体大小和环境条件的高斯分布密切匹配.
  • 统计测试 (沙皮罗-维尔克,科尔莫戈罗夫-斯米尔诺夫) 显示通过率>95%;库尔巴克-莱布勒差异<0.01.
  • 高斯特征在广泛的温度范围 (-20~100°C) 中保持不变.

结论:

  • 基于SRAM的发电机为PQC提供了一种实用,轻量级和耐热的解决方案.
  • 它特别适合基于格子和代码的加密方案.
  • 这种方法在后量子时代提高了嵌入式系统的安全性.