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相关概念视频

The Quantum-Mechanical Model of an Atom02:45

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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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Quantum Numbers02:43

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

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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?
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Magnetic Susceptibility and Permeability01:31

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In linear magnetic materials, like paramagnets and diamagnets, magnetization is proportional to the magnetic field intensity. The constant of proportionality, a dimensionless number, is called magnetic susceptibility. The value of the susceptibility depends on the type of material.
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Introduction to Learning01:18

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Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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相关实验视频

Updated: Jan 16, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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确定智能合约中的敏感性:一种量子机器学习方法

Amulyashree Sridhar1, Kalyan Nagaraj2, Shambhavi Bangalore Ravi2

  • 1Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Bengaluru Campus, Bengaluru 560035, Karnataka, India.

Entropy (Basel, Switzerland)
|September 27, 2025
PubMed
概括

量子机器学习 (QML) 模型有效地检测智能合约负债,优于传统方法. 量子神经网络 (QNN) 模型实现了82.43%的准确性,为区块链安全提供了一个有前途的解决方案.

关键词:
麦克纳马尔的测试在QMLML中,QML就是QML.QNN QNN 在线观看债务 负债 负债 负债 负债 负债智能合约是一种智能合约.

相关实验视频

Last Updated: Jan 16, 2026

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科学领域:

  • 计算机科学 计算机科学
  • 量子计算是一种量子计算.
  • 区块链技术 区块链技术

背景情况:

  • 智能合约对于区块链和分散的应用程序至关重要.
  • 智能合约中的负债可能导致系统故障.
  • 目前的静态检测工具有局限性,包括假阳性和无法泛化.
  • 机器学习 (ML) 方法面临着智能合约大小,存储和性能方面的挑战.

研究的目的:

  • 探索量子机器学习 (QML) 应用程序,用于识别智能合约中的负债.
  • 解决现有的静态分析和基于机器学习的智能合约漏洞检测方法的局限性.

主要方法:

  • 采用了四种QML方法:量子神经网络 (QNN),量子支持向量机 (QSVM),变量量子电路 (VQC) 和量子随机森林 (QRF).
  • 在智能合约数据上训练和评估模型以检测负债.
  • 在SolidiFI数据集中验证了表现最佳的模型.
  • 使用McNemar的测试进行统计验证.

主要成果:

  • 该QNN模型在检测智能合约负债方面表现出卓越的表现,达到82.43%的准确性.
  • 在存储和性能方面,QML方法在传统ML上表现出优势.
  • 当QNN模型在SolidiFI数据集上进行测试时,观察到一致的结果.
  • 统计验证证实了该模型的性能.

结论:

  • QML,特别是QNN模型,为检测智能合约负债提供了可行和有效的替代方案.
  • 与传统的ML方法相比,QML为此任务提供了更好的存储和性能优势.
  • 调查结果表明,QML可以提高智能合约和分散系统的安全性和可靠性.