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相关概念视频

Random Sampling Method01:09

Random Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...

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相关实验视频

Updated: Jun 16, 2026

Quasi-light Storage for Optical Data Packets
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可扩展的并行超快的光学随机位生成基于单一的混乱微组.

Pu Li1,2,3, Qizhi Li4, Wenye Tang4

  • 1Institute of Advanced Photonics Technology, School of Information Engineering, Guangdong University of Technology, Guangzhou, 51006, China.

Light, science & applications
|March 4, 2024
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概括

这项研究引入了一种使用微环共振器进行超快速随机位生成的新方法. 该技术实现了高速和可扩展性,这对于安全通信和先进计算至关重要.

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相关实验视频

Last Updated: Jun 16, 2026

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科学领域:

  • 光学和光子学 在光学和光子学.
  • 信息安全 信息安全
  • 计算科学 计算科学

背景情况:

  • 物理随机位生成对于安全和模拟至关重要.
  • 目前的方法在速度和可扩展性方面面临挑战.
  • 超快,可扩展的随机位生成非常受欢迎.

研究的目的:

  • 为超快速随机位生成提出一个大规模并行方案.
  • 为了实现每秒100特拉比特的随机位生成速率.
  • 为高速随机位生成提供芯片规模解决方案.

主要方法:

  • 使用单个微环共振器.
  • 采用调制不稳定驱动的混乱.
  • 同时生成数百个独立和公正的随机位流.

主要成果:

  • 经过证明的概念证明,产生超过每秒2特拉比特的随机位流.
  • 成功地使用了只有7条线来产生.
  • 通过增加线来展示增强比特率的潜力.

结论:

  • 拟议的方法为随机位生成提供了芯片规模的解决方案.
  • 实现超高速和大的可扩展性.
  • 适用于安全通信和高性能计算.