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相关概念视频

The de Broglie Wavelength02:32

The de Broglie Wavelength

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In the macroscopic world, objects that are large enough to be seen by the naked eye follow the rules of classical physics. A billiard ball moving on a table will behave like a particle; it will continue traveling in a straight line unless it collides with another ball, or it is acted on by some other force, such as friction. The ball has a well-defined position and velocity or well-defined momentum, p = mv, which is defined by mass m and velocity v at any given moment. This is the typical...
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In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
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A household microwave and lasers are examples of standing electromagnetic waves in a cavity. When two conducting metal plates are placed parallel at the nodal planes, it creates a cavity where standing waves are formed. The cavity between the two planes is analogous to a stretched string held at the points x = 0 and x = L. Here, the distance 'L' between the two planes must be an integer multiple of half of the wavelength. The wavelengths that satisfy this condition are given by:
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Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
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相关实验视频

Updated: Jan 10, 2026

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
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深度学习用于使用波波变换对WS2单层中的量子发射信号进行分类.

Hossein Najafzadeh1, Zahra Raissi2,3, Shole Golmohammady4

  • 1Department of Medical Bioengineering, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.

Scientific reports
|November 22, 2025
PubMed
概括

深度学习模型准确地分类WS2纳米泡的量子发射信号,达到高达99.4%的准确性. 这种方法提高了量子材料的特性和量子技术的光谱区分能力.

关键词:
深度学习是一种深度学习.量子排放的量化排放量子传感是一种量子感应.转移学习转移学习WS2单层 WS2单层是一个单层.

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科学领域:

  • 量子材料科学 量子材料科学
  • 机器学习应用 机器学习应用
  • 频谱学是一种光谱学.

背景情况:

  • 从像WS2单层纳米泡这样的材料中特征化量子发射信号至关重要,但具有挑战性.
  • 评估光谱区分能力是量子信息应用的关键.

研究的目的:

  • 开发和评估深度学习模型来分类来自WS2单层纳米泡的量子发射信号.
  • 为此分类任务评估不同卷积神经网络架构的性能.

主要方法:

  • 量子发射信号经过预处理,并使用连续波纹转换 (CWT) 将其转换为RGB图像.
  • 三个CNN架构 (ResNet50,VGG16,Xception) 被训练并使用五倍交叉验证进行评估.
  • 在不同的光谱带组合中评估了分类准确性.

主要成果:

  • 所有评估的模型都实现了高分类精度,VGG16达到99.4%的平均精度.
  • 对光谱相距较远的频段观察到完美的准确性,而相邻的频段则提出了更大的挑战 (VGG16的96.5%).
  • Xception展示了高的计算效率,在短短2个时代内汇聚.

结论:

  • 深度学习与CWT相结合,为量子发射信号分类提供了一个强大的框架.
  • 这种方法对量子光子学,密码学和传感有重大影响.
  • 该研究通过转移学习解决了量子系统中的数据稀缺问题,为未来的量子技术开发铺平了道路.