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

1.1K
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...
1.1K
Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

152
Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
152
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

2.7K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.7K
Bewley Lattice Diagram01:12

Bewley Lattice Diagram

854
The Bewley lattice diagram, developed by L. V. Bewley, effectively organizes the reflections occurring during transmission-line transients. It visually represents how voltage waves propagate and reflect within a transmission line, making it easier to understand the complex interactions that occur.
854
Lossy Lines and Overvoltages01:22

Lossy Lines and Overvoltages

128
Transmission-line series resistance and shunt conductance cause three primary effects: attenuation, distortion, and power losses.
Attenuation
When constant series resistance and shunt conductance are present, voltage and current equations are modified. The propagation constant indicates that voltage and current waves consist of both forward and backward traveling components. These waves attenuate as they propagate, with the attenuation factor related to the resistance and conductance. In a...
128
Traveling Waves: Lossless Lines01:27

Traveling Waves: Lossless Lines

200
The provided content explores the behavior of traveling waves on single-phase lossless transmission lines. It begins with a single-phase two-wire lossless transmission line of length Δx, characterized by a loop inductance LH/m and a line-to-line capacitance C F/m. These parameters result in a series inductance LΔx  and a shunt capacitance CΔx.
200

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

Transformer Meets Gated Residual Networks to Enhance PICU's PPG Artifact Detection Informed by Mutual Information Neural Estimation.

IEEE transactions on neural networks and learning systems·2026
Same author

Vapor Phase Deposition of Electroactive Poly(3,4-ethylenedioxythiophene) onto Electrospun Commodity Polymer Nanofibers.

Journal of visualized experiments : JoVE·2025
Same author

Quantum machine learning with Adaptive Boson Sampling via post-selection.

Nature communications·2025
Same author

Quantum secure metrology for network sensing-based applications.

Scientific reports·2023
Same author

Boosting Quantum Battery-Based IoT Gadgets via RF-Enabled Energy Harvesting.

Sensors (Basel, Switzerland)·2022
Same author

Robust Quantum State Tomography Method for Quantum Sensing.

Sensors (Basel, Switzerland)·2022

相关实验视频

Updated: Sep 11, 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

659

在损耗量子网络中纠分布.

Leonardo Oleynik1, Junaid Ur Rehman2, Seid Koudia3

  • 1Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg, L-1855, Luxembourg. leonardo.oleynik@uni.lu.

Scientific reports
|August 13, 2025
PubMed
概括

在量子网络中分布纠是具有挑战性的,因为信号损失. 与在损失网络中的GHZ类状态相比,W状态为建立纠提供了更强大和更有利的方法.

关键词:
纠分布的纠分布是什么丢失的量子网络 丢失的量子网络W表示W状态.

更多相关视频

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

8.6K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.0K

相关实验视频

Last Updated: Sep 11, 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

659
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

8.6K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.0K

科学领域:

  • 量子信息科学 量子信息科学
  • 量子通信网络 量子通信网络

背景情况:

  • 纠分布是分布式量子信息处理的基础.
  • 量子网络面临的挑战是通过损失道的纠分布.

研究的目的:

  • 开发一个数学框架来评估损失网络中的平均双方纠.
  • 为了比较不同量子状态 (W与GHZ类) 对纠分布的有效性.

主要方法:

  • 开发了一个一般的数学框架来量化损失道中的纠.
  • 通过优化单参数本地操作和经典通信 (LOCC) 引入了下限.
  • 从W状态和GHZ类状态中分析了纠提取.

主要成果:

  • 从W状态进行概率贝尔对提取比在损失网络中从GHZ类状态进行确定性提取更有利.
  • 随着网络的大小,W状态的优势会增加.
  • 在分析上,W状态在大型量子网络中被证明更有效.

结论:

  • W 状态为丢失量子网络中的纠分布提供了更强大的策略.
  • 纠分布协议的成功概率与它们对损失的弹性之间存在一个权衡.
  • 结果为实际的近期量子网络部署提供了见解.