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相关概念视频

Bulk Modulus01:21

Bulk Modulus

309
The bulk modulus is a scientific term used to describe a material's resistance to uniform compression. It is the proportionality constant that links a change in pressure to the resulting relative volume change.
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
54
Compacting Factor test01:22

Compacting Factor test

147
The compacting factor test is a method used to assess the workability of concrete. It is  especially suitable for concrete mixes containing aggregates up to one and a half inches in size. This test involves specialized equipment consisting of two truncated cone-shaped hoppers and a cylinder, all with polished interior surfaces to minimize friction.
The procedure begins by placing concrete into the upper hopper without any compaction. Once filled, the bottom door of this hopper is opened,...
147
Fineness Modulus01:19

Fineness Modulus

406
The fineness modulus (FM) of aggregate is a numerical index that measures the coarseness or fineness of the particles. It is calculated by adding the cumulative percentages of aggregate retained on each of a specified series of sieves and dividing the sum by 100.
Consider performing sieve analysis on sand through a set of ASTM sieves. The weight of aggregate retained in each sieve and pan placed at the bottom is recorded, as given in Column B of Table 1.
To determine the fineness modulus of...
406
Principle of Moments: Problem Solving01:30

Principle of Moments: Problem Solving

844
The principle of moments is a fundamental concept in physics and engineering. It refers to the balancing of forces and moments around a point or axis, also known as the pivot. This principle is used in many real-life scenarios, including construction, sports, and daily activities like opening doors and pushing objects.
One such scenario involves a pole placed in a three-dimensional system with a cable attached. When a tension is applied to the cable, the moment about the z-axis passing through...
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Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

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The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
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相关实验视频

Updated: Jul 3, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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通过模块化局部结构嵌入的量子化进行有效的素因数分解.

Jingwen Ding1, Giuseppe Spallitta1, Roberto Sebastiani2

  • 1Department of Computer Science and Engineering, University of Trento, Trento, Italy.

Scientific reports
|February 12, 2024
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概括
此摘要是机器生成的。

这项研究引入了对素因子分解 (PF) 的紧量子化 (QA) 编码. 研究人员使用D波量子化器成功分解了8,219,999,这标志着密码学量子计算的重大进步.

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科学领域:

  • 量子计算是一种量子计算.
  • 计算数学 计算数学 计算数学
  • 密码学 密码学 密码学 密码学

背景情况:

  • 素因子分解是一个计算密集的问题,对现代密码学至关重要.
  • 量子化 (QA) 提供了一种潜在的方法来加快像素因子化这样的复杂计算.
  • 当前的量子化器架构对编码大规模问题提出了挑战.

研究的目的:

  • 开发新的,紧的编码技术,用于量子化器上的质因子分解问题.
  • 通过实验评估这些编码和因子化方法在D波量子炉上的性能.
  • 为了建立新的基准,最大的数量因子化由量子设备没有经典预处理.

主要方法:

  • 用D-Wave的Pegasus拓学的优化模块理论开发了一个乘数电路的紧模块编码.
  • 合成了一个8量子比特模块用于控制的全增量器,使得更大的乘法问题的编码成为可能.
  • 在D-Wave Advantage 4.1量子炉上进行了广泛的实验评估,测试了不同的量子位初始化和性能增强技术.

主要成果:

  • 在D-Wave Pegasus 5760量子位拓中成功编码到一个21 × 12位的乘法器.
  • 在QPU的资源限制中,将数字8,219,999 (32,749 × 251) 分为最高的素次数.
  • 在没有经典辅助的情况下,通过量子炉和任何量子设备实现了最大的因子分解.

结论:

  • 开发的紧编码技术显著增加了当前量子化器可以解决的素因子分解问题的规模.
  • 实验结果证明了量子化在处理密码相关计算方面的可行性和日益增长的能力.
  • 这项工作代表了朝着数字理论和安全通信的实际量子优势迈出的重要一步.