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相关概念视频

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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What is Variation?01:14

What is Variation?

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Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
18.7K
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.
59.8K
Variation01:19

Variation

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An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
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Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

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Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
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Variation of Atmospheric Pressure01:18

Variation of Atmospheric Pressure

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Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
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相关实验视频

Updated: Feb 15, 2026

Production and Targeting of Monovalent Quantum Dots
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Production and Targeting of Monovalent Quantum Dots

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多类投资组合优化通过变量量子Eigensolver与迪克状态的替代品.

J V S Scursulim1, Gabriel M Langeloh2, Victor L Beltran2

  • 1Instituto de Ciência e Tecnologia Itaú, São Paulo, Brazil. jose.scursulim@itau-unibanco.com.br.

Scientific reports
|February 13, 2026
PubMed
概括

这项研究引入了一种新的量子框架,用于对多元化意识的投资组合优化. 迪克的状态分析通过确保可行的解决方案显著提高了性能,优于现有方法.

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相关实验视频

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Gradient Echo Quantum Memory in Warm Atomic Vapor
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科学领域:

  • 量子计算是一种量子计算.
  • 计算金融是指计算金融.
  • 优化算法 优化算法

背景情况:

  • 投资组合优化在金融领域至关重要,但往往忽视了多元化.
  • 现有的投资组合优化的量子算法缺乏明确的多元化约束.
  • 现实的金融模型需要纳入多元化,以便在实际应用中.

研究的目的:

  • 为多类投资组合优化开发一种新的量子框架,该框架明确纳入多元化.
  • 引入一个新的替代品为变量量子Eigensolver (VQE),它本质上满足多元化约束.
  • 分析经典优化器对这种混合量子-经典方法的性能的影响.

主要方法:

  • 使用多个参数化的迪克状态作为VQE替代品来编码多样化约束.
  • 在可行状态的叠加中初始化了量子系统,减少了搜索空间并消除了对惩罚术语的需求.
  • 用不同的经典优化器评估性能,重点是CMA-ES优化器.

主要成果:

  • 迪克的状态ansatz成功编码了多元化约束,确保只有可行的投资组合状态被探索.
  • 混合量子-经典方法,特别是使用CMA-ES优化器,证明了优越的融合率,近似率和测量概率.
  • 该方法通过避免处罚术语,显著减少了计算搜索空间.

结论:

  • 拟议的量子框架为实际,多元化意识的投资组合优化提供了一个有希望的解决方案.
  • 迪克的状态对应法是有效处理量子优化的约束的一个关键创新.
  • 这种方法在金融部门有很大的应用潜力,可以应对现实世界的投资组合管理挑战.