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相关概念视频

Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.8K
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
1.8K
Temperature and Thermal Equilibrium01:11

Temperature and Thermal Equilibrium

7.3K
Heat and temperature are essential concepts for everyone every day. The study of heat and temperature is part of an area of physics known as thermodynamics. It is not always easy to distinguish heat and temperature.
The concept of temperature has evolved from the common concepts of hot and cold. The scientific definition of temperature explains more than just our sense of hot and cold. Temperature is operationally defined as the quantity measured with a thermometer. Furthermore, temperature is...
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Quantifying Heat02:46

Quantifying Heat

56.4K
Thermal Energy Microscopically, thermal energy is the kinetic energy associated with the random motion of atoms and molecules. Temperature is a quantitative measure of “hot” or “cold”, which depends on the amount of thermal energy. When the atoms and molecules in an object are moving or vibrating quickly, they have a higher average kinetic energy (KE) (or higher thermal energy), and the object is perceived as “hot”, or it is described as being at a...
56.4K
Atomic Nuclei: Nuclear Spin State Population Distribution01:14

Atomic Nuclei: Nuclear Spin State Population Distribution

1.2K
Near absolute zero temperatures, in the presence of a magnetic field, the majority of nuclei prefer the lower energy spin-up state to the higher energy spin-down state. As temperatures increase, the energy from thermal collisions distributes the spins more equally between the two states. The Boltzmann distribution equation gives the ratio of the number of spins predicted in the spin −½ (N−) and spin +½ (N+) states.
1.2K
Atomic Spectroscopy: Effects of Temperature01:27

Atomic Spectroscopy: Effects of Temperature

475
Atomization, converting samples into gas-phase atoms and ions, is essential for atomic spectroscopy. The flame temperature required for atomization affects the efficiency of the atomic spectroscopic methods by increasing the atomization efficiency and the relative population of the excited and ground states.
At thermal equilibrium, the relative populations of excited and ground state atoms can be estimated using the Maxwell–Boltzmann distribution. For example, an increase in temperature...
475
Path Between Thermodynamics States01:21

Path Between Thermodynamics States

3.4K
Consider the two thermodynamic processes involving an ideal gas that are represented by paths AC and ABC in Figure 1:
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相关实验视频

Updated: Sep 19, 2025

Cooling an Optically Trapped Ultracold Fermi Gas by Periodical Driving
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优化温度分布用于训练神经量子状态,使用并行炼.

Conor Smith1,2,3, Quinn T Campbell4, Tameem Albash4

  • 1University of New Mexico, Center for Quantum Information and Control, University of New Mexico, Albuquerque, New Mexico 87131, USA.

Physical review. E
|June 19, 2025
PubMed
概括
此摘要是机器生成的。

在人工神经网络 (ANN) 的并行炼中优化温度分布显著提高了变量算法的成功率. 这种自适应方法有效地克服了参数景观中的局部最小值,并且计算开销最小.

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Gradient Echo Quantum Memory in Warm Atomic Vapor
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相关实验视频

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科学领域:

  • 量子多体物理学 量子多体物理学
  • 机器学习在物理学中的应用
  • 计算凝聚物质的计算方法

背景情况:

  • 参数化人工神经网络 (ANN) 是研究量子多体系统的强大工具.
  • 由于参数格局中的局部最小值,培训ANN可能具有挑战性.
  • 并行炼是一种用于减轻训练困难的方法.

研究的目的:

  • 为了研究温度分布在ANN培训的平行炼的影响.
  • 开发一种可适应的方法来优化复制温度.
  • 为了提高使用优化并行炼的变化算法的成功率.

主要方法:

  • 采用了自适应温度调整方法,以使平行炼复制品之间的交换概率相等.
  • 该方法在两种类型的ANN上进行了测试:受限制的博尔兹曼机器和前网络.
  • 在一个玩具模型上进行了模拟,该模型具有变不变的哈密尔顿和J1-J2模型在一个矩形格子上.

主要成果:

  • 优化的温度分布显著提高了变量算法的成功率.
  • 适应性方法有效地消除了复制随机步行中的瓶.
  • 温度优化造成了微不足道的额外计算成本.

结论:

  • 在并行炼中进行自适应温度优化是提高ANN在变化算法方面的训练的高效策略.
  • 这种方法提供了一种计算成本低廉的方法来提高量子多体模拟的性能.
  • 这些发现适用于各种ANN架构和量子哈密尔顿.