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

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
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
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

7.2K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
7.2K
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

11.8K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
11.8K
Genome Copying Errors02:46

Genome Copying Errors

5.3K
DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger their  survival. Therefore, the copying errors are checked and repaired at three levels.
5.3K
Random and Systematic Errors01:20

Random and Systematic Errors

900
900

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 journal

Demonstration of a quantum C-NOT gate in a time-multiplexed fully reconfigurable photonic processor.

Nature communications·2026
Same journal

Nonlinear quantum light source with van der Waals ferroelectric NbOX<sub>2</sub> (X = Br, I).

Nature communications·2026
Same journal

Antagonistic histone H2A variants and autonomous heterochromatin formation shape epigenomic patterns in Arabidopsis.

Nature communications·2026
Same journal

The long tail of nitrate pollution in groundwater challenges governance of global water quality.

Nature communications·2026
Same journal

Select microbial metabolites promote tau aggregation in a murine tauopathy model.

Nature communications·2026
Same journal

Warming climate has lengthened global intense tropical cyclone seasons.

Nature communications·2026
查看所有相关文章

相关实验视频

Updated: Mar 16, 2026

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
07:56

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

9.1K

在量子LDPC代码中解码相关错误.

Arshpreet Singh Maan1, Francisco Miguel Garcia Herrero2, Alexandru Paler3

  • 1Aalto University, Espoo, Finland. arshpreet.maan@aalto.fi.

Nature communications
|March 15, 2026
PubMed
概括
此摘要是机器生成的。

我们开发了一个新的解码框架,用于量子错误校正代码,显著降低逻辑错误率. 这种方法实现了高精度和低延迟,使实时量子错误校正成为可能.

更多相关视频

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.4K

相关实验视频

Last Updated: Mar 16, 2026

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
07:56

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

9.1K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.4K

科学领域:

  • 量子信息科学 量子信息科学
  • 量子计算是一种量子计算.
  • 错误纠正代码 错误纠正代码

背景情况:

  • 量子代码中的相关错误对容错量子计算构成了重大挑战.
  • 现有的解码方法与电路级噪声和相关错误作斗争.

研究的目的:

  • 引入一个高效的解码框架,用于电路级噪声下的量子低密度平价检查 (LDPC) 代码.
  • 通过修改错误模型,同时保持解码等价性来解决相关错误.

主要方法:

  • 图形增强和推断 (GARI) 方法的重新连接,以修改相关的检测器错误模型.
  • 消除了在图形表示中涉及Y型错误的4循环.
  • 应用一个规范化的最小和解码器与混合串行层次编程.
  • 使用24个并行解码器进行集体解码,以提高性能.

主要成果:

  • 实现了 (6.70 ± 1.93) × 10-9 的逻辑错误率,在物理错误率为 10-3 的距离 12 个双变量自行车代码.
  • 通过整体解码,与XYZ-Relay-BP相当的性能得到了证明.
  • 初步的FPGA结果显示实时能力,平均解码延迟为273 ns.

结论:

  • 该GARI框架有效地解码与相关错误的量子LDPC代码.
  • 拟议的方法实现了高精度和低延迟,适合实时应用.
  • 这项工作推动了对容错量子计算机的实际实施.