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相关概念视频

Random Variables01:09

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.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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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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Randomized Experiments01:13

Randomized Experiments

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
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Reaction Quotient02:35

Reaction Quotient

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The status of a reversible reaction is conveniently assessed by evaluating its reaction quotient (Q). For a reversible reaction described by m A + n B ⇌ x C + y D, the reaction quotient is derived directly from the stoichiometry of the balanced equation as
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Random Sampling Method01:09

Random Sampling Method

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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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Quantum Numbers02:43

Quantum Numbers

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It is said that the energy of an electron in an atom is quantized; that is, it can be equal only to certain specific values and can jump from one energy level to another but not transition smoothly or stay between these levels.
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相关实验视频

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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QPP-RNG:一个用于真实随机性的概念量子系统.

Yurang Randy Kuang1

  • 1Quantropi (Canada), 1545 Carling Av., Suite 620, Ottawa, ON K1Z 8P9, Canada.

Physical review. E
|December 23, 2025
PubMed
概括

我们介绍了一种量子启发的系统,通过测量顺序排序过程来生成真正的随机数. 这种方法融合了确定性和非确定性元素,创建了一个可扩展的,富含的随机数发生器.

科学领域:

  • 计算机科学 计算机科学
  • 信息理论 信息理论
  • 量子启发的计算方式

背景情况:

  • 真正随机数生成器 (TRNG) 对加密学至关重要.
  • 现有的TRNG通常依赖于外部源,造成安全风险.
  • 量子启发的系统为随机生成提供了新的方法.

研究的目的:

  • 提出和演示一个新的量子启发系统,用于真正的随机数生成.
  • 开发一个基于软件的TRNG,即量子换RNG (QPP-RNG).
  • 研究准叠加量子启发系统 (QSQS) 中的生成机制.

主要方法:

  • 开发了准叠加量子启发系统 (QSQS) 框架.
  • 使用软件实现了QSQS作为一个量子换RNG (QPP-RNG).
  • 测量了确定性排列数 (n_p) 和非确定性排序时间 (t).
  • 利用了CPU jitter,缓存延迟和操作系统调度来进行播种.

主要成果:

  • 该QSQS框架通过模块减小将n_p和t的偏斜分布转换为统一的输出.
  • QPP-RNG证明了输出向理论最大值 (接近8位) 的趋同.

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Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

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  • 统计测试 (基平方) 和视觉图形证实了从偏斜分布转变为均分布的情况.
  • 结论:

    • 该QSQS提供了一个可扩展和理论上有基础的方法,用于工程随机性.
    • QPP-RNG有效地融合了确定性和非确定性组件,以产生有机.
    • 这种方法为产生随机性提供了一个基于物理的视角,这对于量子安全时代至关重要.