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関連する概念動画

Randomized Experiments01:13

Randomized Experiments

7.3K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
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Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

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The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Random Variables01:09

Random Variables

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A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
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The Pauli Exclusion Principle03:06

The Pauli Exclusion Principle

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The arrangement of electrons in the orbitals of an atom is called its electron configuration. We describe an electron configuration with a symbol that contains three pieces of information:
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Shrinkage in Concrete01:27

Shrinkage in Concrete

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Shrinkage in concrete is primarily due to water loss from evaporation, hydration of cement, or carbonation, leading to a reduction in volume. The volumetric contraction results in volumetric strain in concrete. However, in practice, shrinkage is measured as linear strain, which is one-third of the volumetric strain.
When concrete is still in its plastic state, it can undergo a decrease in volume by about 1% of its absolute volume. This decrease is known as plastic shrinkage. It arises either...
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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量子ランダム化の縮小

Naoki Yamamoto1, Kaito Wada1

  • 1Department of Applied Physics and Physico-Informatics, Keio University, Yokohama, Japan.

Science (New York, N.Y.)
|July 3, 2025
PubMed
まとめ
この要約は機械生成です。

量子コンピューティングは ランダム性を達成するために 量子ゲートの層を利用します このプロセスは様々な量子アルゴリズムや計算に不可欠です

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科学分野:

  • 量子情報科学
  • コンピュータ科学

背景:

  • 量子コンピューティングは量子力学を計算に利用します
  • ランダム性は量子アルゴリズムの 重要なリソースです

研究 の 目的:

  • 量子計算におけるランダム性の実装について説明します.
  • ランダム性を生み出す 量子ゲートの役割を強調する

主な方法:

  • 量子ゲートを活用して 確率的な量子状態を作り出す
  • 量子操作のシーケンスを実装する

主要な成果:

  • ランダム性は 限られた数の量子ゲート層で成功しています
  • 提案された方法は量子ランダム性生成の 実践的なアプローチを提供する.

結論:

  • 量子ゲート層は量子計算において 基本的なランダム性を生み出すのに十分です
  • この発見は量子ランダム性に対する ハードウェアの要件を簡素化します