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

Vector Algebra: Method of Components01:08

Vector Algebra: Method of Components

13.8K
It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
In many applications, the magnitudes and directions of...
13.8K
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

12.0K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
12.0K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

42.1K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
42.1K
Vector Representation of Complex Numbers01:16

Vector Representation of Complex Numbers

117
Complex numbers, represented in Cartesian coordinates, can also be visualized as vectors. These vectors can be expressed in polar form, emphasizing their magnitude and angle. When a complex number is input into a function, the output is another complex number, highlighting the function's zero point from which the vector representation can originate.
Consider a function defined as the product of the complex factors in the numerator divided by the product of the complex factors in the...
117
Nodal Analysis with Voltage Sources01:11

Nodal Analysis with Voltage Sources

1.0K
Nodal analysis is a remarkably effective method used in electrical engineering to simplify the analysis of complex circuits, including those with dependent or independent voltage sources. Its strength lies in its systematic approach to breaking down circuits into manageable components, making it easier for engineers to understand and solve.
Consider a circuit that contains four resistors and two voltage sources, as shown in Figure 1. One of these voltage sources is connected between a...
1.0K
Nodal Analysis01:10

Nodal Analysis

866
Nodal analysis is a fundamental method in electrical engineering used to simplify the process of circuit analysis. This method revolves around the concept of using node voltages as the primary variables for circuit analysis. The objective is to determine the voltage at each node in a circuit, which can then be used to find other quantities of interest, such as currents through specific components.
Consider, for instance, a simple circuit composed of three nodes and three resistors, as shown in...
866

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

Evidence of scaling advantage on an NP-complete problem with enhanced quantum solvers.

Nature computational science·2026
Same author

Efficient access authentication for quantum communication network with digital certificates.

Fundamental research·2026
Same author

Exact Solution and Large-Scale Scaling Analysis of the Imaginary Creutz-Stark Ladder.

Entropy (Basel, Switzerland)·2026
Same author

Progress in quantum information.

National science review·2025
Same author

Generation of unstable states via encircling exceptional nexus.

Optics express·2025
Same author

Quantum secure direct communication: whispering with photons.

National science review·2025
Same journal

The heterogeneous treatment effects and joint effects of high-speed rail construction and low-carbon city pilot policy on urban economic resilience.

Fundamental research·2026
Same journal

Multiple waves of westward dry-land agriculture expansions along the East Silk Road during the Neolithic age.

Fundamental research·2026
Same journal

Biomedical imaging.

Fundamental research·2026
Same journal

Artificial intelligence in echocardiography: Applications and future directions.

Fundamental research·2026
Same journal

Performance of lunar shell structure for moonbase subjected to low gravity coupled with changing temperature.

Fundamental research·2026
Same journal

KREEP materials recorded in impact glasses of Chang'e-6 regolith returned from the South Pole-Aitken Basin.

Fundamental research·2026
查看所有相关文章

相关实验视频

Updated: Jun 16, 2025

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

509

用于节点嵌入的变量量子算法.

Zeng-Rong Zhou1,2, Hang Li2, Gui-Lu Long2,3

  • 1Research Center for Quantum Sensing, Zhejiang Lab, Hangzhou 311121, China.

Fundamental research
|August 19, 2024
PubMed
概括
此摘要是机器生成的。

我们介绍了用于节点嵌入的新型量子算法,解决了量子机器学习中的非端到端问题. 这种方法有效地将图形结构编码为量子状态,以便进一步处理.

关键词:
节点嵌入 节点嵌入核磁共振是一种核磁共振.量子计算是一种量子计算.量子机器学习就是量子机器学习.变量量子算法是一种变量量子算法.

更多相关视频

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.2K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

12.8K

相关实验视频

Last Updated: Jun 16, 2025

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

509
Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.2K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

12.8K

科学领域:

  • 量子计算是一种量子计算.
  • 机器学习 机器学习
  • 图形理论 图形理论

背景情况:

  • 量子机器学习 (QML) 是有前途的,但往往忽视了初始状态准备的复杂性,阻碍了端到端的应用.
  • 在机器学习任务中,嵌入节点对于表示图形结构至关重要.

研究的目的:

  • 为节点嵌入提出一个端到端的量子算法.
  • 将拓图形结构编码为量子嵌入矢量.
  • 确保量子嵌入状态保留下游QML任务的量子优势.

主要方法:

  • 开发了一种量子算法,利用量子比特来表示节点的信息.
  • 采用了深度的参数化量子电路,以实现高效的量子状态生成.
  • 研究了参数训练的测量复杂性,并扩展了高阶邻近信息的算法.

主要成果:

  • 拟议的算法产生了量子嵌入状态,可作为其他QML算法的输入.
  • 量子嵌入状态由于其参数化电路而起作用,作为一个高效的量子数据库.
  • 在核磁共振量子处理器上的实验演示验证了算法在图形模型上的有效性.

结论:

  • 量子节点嵌入算法提供了一个端到端的解决方案,克服了以前的QML方法的局限性.
  • 高效的量子数据库能力和保存的量子优势使其适合于先进的QML应用.
  • 成功的实验验证证证实了量子节点嵌入的实际适用性.