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

Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

8.5K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
8.5K
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

1.5K
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...
1.5K
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

2.1K
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...
2.1K
2D NMR: Overview of Heteronuclear Correlation Techniques01:18

2D NMR: Overview of Heteronuclear Correlation Techniques

866
Heteronuclear correlation spectroscopy is an analytical technique that investigates the coupling between different types of nuclei, often a proton and an X-nucleus, such as carbon-13 or nitrogen-15. This method is commonly used in nuclear magnetic resonance (NMR) spectroscopy to gain insights into complex chemical compounds' structural and compositional aspects. A typical heteronuclear correlation spectrum displays X-nucleus chemical shifts on one axis and a proton spectrum on the other...
866
2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)

1.5K
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...
1.5K
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.7K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.7K

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

Theory of Quantum Comb Enhanced Interferometry.

Physical review letters·2026
Same author

Schistosoma japonicum histone acetyltransferase 1 (SjHAT1): A novel anti-schistosomal drug target.

PLoS pathogens·2026
Same author

[Optimization Path Selection for the Synergy of "Four Waters" in the Yellow River Basin from a Configurational Perspective].

Huan jing ke xue= Huanjing kexue·2026
Same author

Characteristic MRI pattern in <i>LMNB1</i>-related autosomal dominant leukodystrophy: a case report.

Frontiers in neuroscience·2026
Same author

Characteristics and outcomes of type 2 myocardial infarction in sepsis survivors.

Frontiers in cardiovascular medicine·2026
Same author

[Spatiotemporal Evolution and Influencing Factors Analysis of the Resilience of the Water-society-economy System in the Yellow River Basin].

Huan jing ke xue= Huanjing kexue·2026

相关实验视频

Updated: Mar 15, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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

Published on: September 8, 2023

1.2K

与量子传感器网络相关的噪声估计.

Anthony J Brady1,2, Yu-Xin Wang1, Victor V Albert1

  • 1Joint Center for Quantum Information and Computer Science, NIST/University of Maryland, College Park, Maryland 20742, USA.

Physical review letters
|March 13, 2026
PubMed
概括
此摘要是机器生成的。

本研究引入了一种量子传感框架,用于估计量子传感器网络中的集体噪声. 纠提供了一个优势,通过将量子传感器相关性与经典噪声相关性相结合,以提高测量灵敏度.

更多相关视频

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
12:19

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

8.9K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.9K

相关实验视频

Last Updated: Mar 15, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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

Published on: September 8, 2023

1.2K
Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
12:19

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

8.9K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.9K

科学领域:

  • 量子计量学 量子计量学
  • 量子信息科学 量子信息科学
  • 统计物理 统计物理

背景情况:

  • 估计量子传感器网络中的集体随机性质对于量子计算和精度测量等应用至关重要.
  • 相关噪声,例如量子比特集中的脱相或玻色子模式的波动,对准确估计构成了重大挑战.

研究的目的:

  • 开发一个理论框架来估计量子传感器网络中的相关噪声.
  • 确定纠在量子计量学中提供优势的条件.
  • 确定最佳的纠状态和传感协议,以达到基本的测量极限.

主要方法:

  • 在量子传感器网络中分析相关噪声估计的理论框架的开发.
  • 研究传感器的量子相关性与噪声的经典相关性之间的相互作用.
  • 确定最佳的纠探头状态和多体回声类感应协议.

主要成果:

  • 揭示了一个纠优势来自量子传感器相关性和经典噪声相关性之间的协同作用.
  • 确定了最佳的纠探头状态,以提高噪声估计.
  • 展示了一种传感协议,可以实现对相关的多体现象的测量灵敏度的基本极限.

结论:

  • 该研究为相关的多体现象的纠增强计量学提供了理论基础.
  • 拟议的框架和协议为克服量子传感中相关噪声所带来的局限性提供了一条途径.
  • 这项工作推进了对量子相关性的理解,以实现最终的测量精度.