Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Random Sampling Method01:09

Random Sampling Method

11.2K
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...
11.2K
Random Variables01:09

Random Variables

12.4K
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...
12.4K
Randomized Experiments01:13

Randomized Experiments

7.0K
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...
7.0K
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

726
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...
726
Parallel Processing01:20

Parallel Processing

182
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
182
Random and Systematic Errors01:20

Random and Systematic Errors

11.1K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
11.1K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Optical model compression learning for galaxy morphology classification with diffractive deep neural networks.

Optics express·2026
Same author

Thin-film lithium niobate based microwave photonic filter with up to 110 GHz tuning range.

Optics express·2026
Same author

SiN<sub><i>x</i></sub> Waveguide-Integrated Carbon Nanotube Photodetector with Bandwidth over 67 GHz Operating at 1.55 and 2 μm Band.

ACS nano·2026
Same author

Minimalist terahertz wireless transceiver in integrated photonics.

Nature communications·2026
Same author

Integrated photonic ultrawideband real-time spectrum sensing for 6G wireless networks.

Nature communications·2026
Same author

Integrated photonics enabling ultra-wideband fibre-wireless communication.

Nature·2026

相关实验视频

Updated: Jul 20, 2025

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.0K

利用基于微组的平行混乱来生成随机数和光学决策.

Bitao Shen1, Haowen Shu2, Weiqiang Xie3

  • 1State Key Laboratory of Advanced Optical Communications System and Networks, School of Electronics, Peking University, 100871, Beijing, China.

Nature communications
|July 31, 2023
PubMed
概括

研究人员使用混乱的微组合器产生了大量并行光学混乱,实现了高级应用的低通道间相关性. 这一突破使得高吞吐量,芯片上的混乱系统能够实现安全的通信和计算.

更多相关视频

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
14:09

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

7.0K
Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

9.6K

相关实验视频

Last Updated: Jul 20, 2025

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.0K
High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
14:09

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

7.0K
Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

9.6K

科学领域:

  • 光子学是指光子学的使用方法.
  • 非线性光学是非线性光学.
  • 综合光子学 综合光子学

背景情况:

  • 光学混乱对于安全的通信,传感和计算至关重要.
  • 混乱的微组合器具有产生大规模光学混乱的潜力.
  • 在平行混乱系统中,道间的相关性一直是限制因素.

研究的目的:

  • 用混乱的微组合机来演示大规模并行的混乱生成.
  • 为了研究和最大限度地减少平行混乱信号中的通道间相关性.
  • 展示随机位生成和决策加速中的应用程序.

主要方法:

  • 在绝缘体 (AlGaAsOI) 平台上使用高非线性甲.
  • 产生的并行混乱信号与受控的道间相关性.
  • 在光子芯片上开发集成的随机位生成器和决策加速器.

主要成果:

  • 实现了平行混沌信号,频道间相关性低于0.04.
  • 证明了一个高的随机数生成速率,即每秒3.84 Tbps.
  • 成功实现了一个15通道集成的随机位生成器和一个可扩展的256臂强盗加速器.

结论:

  • 大规模并行混乱的产生是可行的,与低的道间相关性.
  • 集成光子平台使高通量混乱系统成为可能.
  • 这项工作推进了基于混乱的信息处理,用于通信,传感和计算.