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

Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

1.1K
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
1.1K
Directional Relays01:25

Directional Relays

562
Directional relays, essential for managing unidirectional fault currents, enhance the safety and efficiency of power systems. On power lines equipped with directional relays, faults downstream (to the right) of the current transformer typically cause the fault current to lag the bus voltage by approximately 90 degrees, known as the forward direction. In contrast, upstream (left-side) faults may result in the fault current leading the bus voltage by nearly 90 degrees, termed the reverse...
562
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

474
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
474
Comparison between RL and RC circuits01:24

Comparison between RL and RC circuits

5.8K
An RC circuit consists of resistance and capacitance, while in an RL circuit, capacitance is replaced by an inductor. RL and RC circuits are first-order differential circuits that store energy. An RC circuit stores energy in the electric field, while an RL circuit stores energy in the magnetic field. When connected to a battery, an RC circuit charges the capacitor, causing the current to decrease from maximum to zero upon being fully charged. This increases the voltage across the capacitor from...
5.8K
Reaction Quotient02:35

Reaction Quotient

52.6K
The status of a reversible reaction is conveniently assessed by evaluating its reaction quotient (Q). For a reversible reaction described by m A + n B ⇌ x C + y D, the reaction quotient is derived directly from the stoichiometry of the balanced equation as
52.6K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.1K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.1K

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

Oral L-ergothioneine supplementation in women with suboptimal ovarian reserve: a single-center, open-label, self-controlled pilot study of ovarian reserve markers, endocrine profiles, and reproductive aging-related symptoms.

BMC women's health·2026
Same author

Unveiling C1QBP: A New Guardian of Dopaminergic Neuron in Parkinson's disease by targeting ULK1 to promote mitophagy and maintain mitochondrial function.

Free radical biology & medicine·2026
Same author

Integrated transcriptomic and metabolomic analysis reveals the salt tolerance mechanisms in Lagerstroemia indica.

BMC plant biology·2026
Same author

Ergothioneine Ameliorates Alcoholic Fatty Liver Disease: A Dual Strategy of Accelerated Ethanol Elimination and Reducing Oxidative Stress.

Journal of biochemical and molecular toxicology·2026
Same author

Photocatalytic Flow Synthesis of Acetone from Methane Carbonylation Using Customized Flow Patterns.

Journal of the American Chemical Society·2026
Same author

Restoring Homeostatic Balance: Advances in Traditional Chinese Medicine for Rheumatoid Arthritis.

The American journal of Chinese medicine·2026

相关实验视频

Updated: Jan 8, 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

1.1K

通过量子强化学习学习,用于可信中继量子密钥分发网络的高效路由算法.

Yuheng Xie, Yuanchen Hao, Yuefeng Lin

    Optics express
    |December 19, 2025
    PubMed
    概括

    一个新的量子强化学习算法,混合量子深确定性政策梯度 (HQ-DDPG),优化了可信中继量子密钥分发网络 (TR-QKDNs) 的路由. 与传统方法相比,它显著提高了融合速度和资源效率.

    科学领域:

    • 量子信息科学 量子信息科学
    • 网络安全 网络安全
    • 人工智能的人工智能

    背景情况:

    • 值得信赖的继电器量子密钥分发网络 (TR-QKDNs) 需要高效的路由算法来实现可扩展性.
    • 当前的路由方法在适应性,参数配置和计算复杂性方面存在局限性.

    研究的目的:

    • 为TR-QKDNs开发一个智能路由算法,以动态优化决策.
    • 解决复杂网络环境中现有的路由方法的局限性.

    主要方法:

    • 提出了一种混合量子深确定性政策梯度 (HQ-DDPG) 算法,将量子神经网络 (QNN) 与深确定性政策梯度 (DDPG) 集成在一起.
    • 利用量子单源最短路径 (QSSP) 算法来减少计算复杂性.
    • 在QNN实现中利用分布式量子计算.

    主要成果:

    • 与DDPG相比,HQ-DDPG的培训融合速度几乎翻了一番,资源需求减少了大约45倍.
    • 在高负载需求下实现了超过91.35%的量子密钥交付比率,超过了DDPG和优化链路状态路由 (OLSR).
    • 量子网络使得大规模的TR-QKDN问题可以在更少的量子资源下得到有效的解决方案.

    结论:

    更多相关视频

    Gradient Echo Quantum Memory in Warm Atomic Vapor
    10:00

    Gradient Echo Quantum Memory in Warm Atomic Vapor

    Published on: November 11, 2013

    13.1K

    相关实验视频

    Last Updated: Jan 8, 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

    1.1K
    Gradient Echo Quantum Memory in Warm Atomic Vapor
    10:00

    Gradient Echo Quantum Memory in Warm Atomic Vapor

    Published on: November 11, 2013

    13.1K
    • HQ-DDPG算法为TR-QKDNs中的路由提供了一个优越,高效和可扩展的解决方案.
    • 量子强化学习显示了优化复杂网络操作的巨大潜力.
    • 拟议的方法提高了网络的表达力和在苛刻条件下的性能.