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相关概念视频

Cluster Sampling Method01:20

Cluster Sampling Method

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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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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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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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Valence Bond Theory and Hybridized Orbitals02:38

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According to valence bond theory, a covalent bond results when: (1) an orbital on one atom overlaps an orbital on a second atom, and (2) the single electrons in each orbital combine to form an electron pair. The strength of a covalent bond depends on the extent of overlap of the orbitals involved. Maximum overlap is possible when the orbitals overlap on a direct line between the two nuclei.
A σ bond (single bond in a Lewis structure) is a covalent bond in which the electron density is...
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相关实验视频

Updated: Jul 19, 2025

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

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变量量子和量子启发的聚类.

Pablo Bermejo1,2, Román Orús3,4,5

  • 1Multiverse Computing, Paseo de Miramón 170, 20014, San Sebastián, Spain.

Scientific reports
|August 16, 2023
PubMed
概括
此摘要是机器生成的。

我们使用变量量子电路开发了一种量子聚类算法. 这种方法有效地将数据分类为许多集群,即使在小型量子设备上,也显示出仅用一个量子比特的强大性能.

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相关实验视频

Last Updated: Jul 19, 2025

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科学领域:

  • 量子计算是一种量子计算.
  • 机器学习 机器学习
  • 数据科学数据科学数据科学

背景情况:

  • 聚类是数据分析的基本机器学习任务.
  • 变量量子电路为近期量子计算提供了一个有希望的途径.
  • 现有的量子聚类算法往往需要大量的量子位资源.

研究的目的:

  • 介绍一个新的量子算法用于数据聚类.
  • 为了证明该算法的适用性在杂的中间尺度量子 (NISQ) 设备上.
  • 探索非对角量子位状态的使用,以增强集群能力.

主要方法:

  • 该算法将数据聚类简化为一个优化问题.
  • 它采用一个变量量子Eigensolver (VQE) 与非直角量子比特状态.
  • 使用最大直角状态,而不是使用标准计算基础.

主要成果:

  • 该算法成功将数据分类为多个集群.
  • 通过对真实数据集的数值模拟来证明出色的性能,即使使用单个量子比特.
  • 一个张量网络模拟产生了一个量子启发的集群算法可在经典硬件上执行.

结论:

  • 这种基于变量量子电路的算法为数据集群提供了一种高效的方法.
  • 该方法适合在当前的NISQ设备上实现.
  • 使用非直角状态可以处理大量集群,但量子比特有限.