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相关概念视频

Network Function of a Circuit01:25

Network Function of a Circuit

255
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
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Network Covalent Solids02:18

Network Covalent Solids

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Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
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The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

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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.
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Norton's Theorem01:14

Norton's Theorem

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Norton's theorem is a fundamental principle stating that a linear two-terminal circuit can be substituted with an equivalent circuit, which comprises a current source (ⅠN) in parallel with a resistor (RN). Here, ⅠN represents the short-circuit current flowing through the terminals, and RN stands for the input or equivalent resistance at the terminals when all independent sources are deactivated. This implies that the circuit illustrated in Figure (a) can be exchanged with the...
510
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

530
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...
530
Quantum Numbers02:43

Quantum Numbers

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It is said that the energy of an electron in an atom is quantized; that is, it can be equal only to certain specific values and can jump from one energy level to another but not transition smoothly or stay between these levels.
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相关实验视频

Updated: May 31, 2025

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

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灵活的门 量子网络上的量子同态加密

Yongli Tang1, Menghao Guo2, Binyong Li3

  • 1School of Software, Henan Polytechnic University, Jiaozuo 454000, China.

Entropy (Basel, Switzerland)
|January 24, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一个新的 (t,n) 值量子同态加密 (TQHE) 网络方案. 它使多个量子评估器能够在加密的量子数据上协作计算,提高灵活性和安全性.

关键词:
沙米尔的秘密分享分享量子计算是一种量子计算.量子计算云平台 量子计算云平台值量子同态加密的临界值.

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科学领域:

  • 量子计算是一种量子计算.
  • 密码学 密码学 密码学 密码学
  • 网络安全 网络安全

背景情况:

  • 目前的量子同态加密 (QHE) 方案通常涉及一个具有有限量子计算能力的单个评估器.
  • 这种限制限制了QHE在复杂量子网络环境中的灵活性和适用性.

研究的目的:

  • 提出一个新的 (t,n) 值量子同态加密 (TQHE) 网络方案.
  • 为了使多个评估者能够在加密的量子数据上进行协作计算.
  • 在网络设置中增强量子计算的灵活性和安全性.

主要方法:

  • 拟议的计划是基于Shamir秘密共享协议.
  • 它允许k (t≤k≤n) 的评估器在加密的量子数据上协同执行计算.
  • 每个评估器都可以执行数据所有者分配的任意单量子比特网关操作.

主要成果:

  • 这里提供了一个特定的 (3,5) 门TQHE网络方案示例.
  • 该计划的正确性和可行性通过IBM量子计算云平台上的模拟来证明.
  • 安全分析证实了该计划对各种潜在攻击的稳定性.

结论:

  • 开发的 (t,n) 门QHE方案显著改善了现有的QHE限制.
  • 协作计算模型增强了量子网络环境的灵活性和功率.
  • 该方案为加密数据上的分布式量子计算提供了一个安全和实用的解决方案.