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相关概念视频

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

Ampere-Maxwell's Law: Problem-Solving

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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?
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...
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Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

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Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
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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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Ampere's Law: Problem-Solving01:31

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Ampere's law states that for any closed looped path, the line integral of the magnetic field along the path equals the vacuum permeability times the current enclosed in the loop. If the fingers of the right hand curl along the direction of the integration path, the current in the direction of the thumb is considered positive. The current opposite to the thumb direction is considered negative.
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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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Adiabatic Processes for an Ideal Gas01:18

Adiabatic Processes for an Ideal Gas

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When an ideal gas is compressed adiabatically, that is, without adding heat, work is done on it, and its temperature increases. In an adiabatic expansion, the gas does work, and its temperature drops. Adiabatic compressions actually occur in the cylinders of a car, where the compressions of the gas-air mixture take place so quickly that there is no time for the mixture to exchange heat with its environment. Nevertheless, because work is done on the mixture during the compression, its...
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相关实验视频

Updated: Jun 21, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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训练神经网络使用通用adiabatic量子计算.

Steve Abel1,2, Juan Carlos Criado3, Michael Spannowsky1

  • 1Institute for Particle Physics Phenomenology, Durham University, Durham, United Kingdom.

Frontiers in artificial intelligence
|July 8, 2024
PubMed
概括
此摘要是机器生成的。

附带量子计算 (AQC) 为训练神经网络 (NN) 提供了一种有效的方法. 这种新的方法利用量子原理找到最佳解决方案,为传统的NN培训技术提供了一个有希望的替代方案.

关键词:
培训 培训 培训 培训附带的量子计算的量子计算.二元神经网络是二元神经网络.神经网络的神经网络的神经网络量子计算是一种量子计算.

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科学领域:

  • 量子计算是一种量子计算.
  • 人工智能的人工智能
  • 机器学习 机器学习

背景情况:

  • 神经网络 (NN) 培训是资源密集的.
  • 经典的培训方法面临着计算方面的挑战.

研究的目的:

  • 为 NN 培训引入一种新的附带量子计算 (AQC) 方法.
  • 为了证明AQC在门量子计算机上的普遍适用性,用于各种NN架构.

主要方法:

  • 开发了一种通用的AQC方法,可在门量子计算机上实现.
  • 应用了AQC方法来训练神经网络,使用连续,离散和二进制权重.

主要成果:

  • 阿迪亚巴特量子计算 (AQC) 有效地找到损失函数的全球最小值.
  • 通过AQC方法,可以训练表达神经网络.

结论:

  • AQC为训练神经网络提供了一个强大而高效的替代方案.
  • 这种量子计算范式可以显著加速和优化机器学习任务.