Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

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 0s. In...
Random Variables01:09

Random Variables

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...
Central Limit Theorem01:14

Central Limit Theorem

The central limit theorem, abbreviated as clt, is one of the most powerful and useful ideas in all of statistics. The central limit theorem for sample means says that if you repeatedly draw samples of a given size and calculate their means, and create a histogram of those means, then the resulting histogram will tend to have an approximate normal bell shape. In other words, as sample sizes increase, the distribution of means follows the normal distribution more closely.
The sample size, n, that...
Random Error01:04

Random Error

Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
The Bell Curve01:21

The Bell Curve

The normal probability distribution, often depicted as a symmetrical, bell-shaped curve, is fundamental in statistics and the study of natural phenomena. This pattern, famously described by mathematician Carl Friedrich Gauss, shows how data points are distributed around a central mean, with most values near the average and fewer observations occurring as they deviate further from it.
This pattern applies to many human characteristics beyond intelligence, such as height. For example, if you...
Critical Numbers and the Closed Interval Method01:21

Critical Numbers and the Closed Interval Method

Understanding the maximum and minimum values of a function is essential for analyzing its overall behavior. These values, often referred to as extrema, provide insight into how a function behaves across its domain. In mathematical terms, extrema can be either local—representing peaks and valleys within a limited region—or absolute, indicating the highest or lowest points over an entire interval.A function’s extrema occur at critical numbers, which are values in the domain where the derivative...

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Improved quantum processor logical error rates via correction and detection.

Nature·2026
Same author

Digital quantum magnetism on a trapped-ion quantum computer.

Nature·2026
Same author

The Mobile lifestyle intervention for food and exercise (mLife) study: Protocol of a remote behavioral weight loss randomized clinical trial for type 2 diabetes prevention.

Contemporary clinical trials·2024
Same author

High-fidelity teleportation of a logical qubit using transversal gates and lattice surgery.

Science (New York, N.Y.)·2024
Same author

Case report: Splenic inflammatory pseudotumor-like follicular dendritic cell sarcoma (IPT-like FDCS): a trial of immunotherapy and review of the literature.

Frontiers in oncology·2024
Same author

CLEAR - clozapine in early psychosis: study protocol for a multi-centre, randomised controlled trial of clozapine vs other antipsychotics for young people with treatment resistant schizophrenia in real world settings.

BMC psychiatry·2024
Same journal

Six ways to put the public at the heart of science and policy.

Nature·2026
Same journal

The complex truth about trust in science.

Nature·2026
Same journal

Have people stopped trusting science? The data tell a surprising story.

Nature·2026
Same journal

How FAIR data are helping to build trust in science.

Nature·2026
Same journal

Scientists should recognize their own political biases to build public trust.

Nature·2026
Same journal

Harmonizing standards and resources for the medical genome.

Nature·2026
関連記事をすべて見る

関連する実験動画

Updated: Jun 13, 2026

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
07:56

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

ベル定理によって証明されたランダムナンバー.

S Pironio1, A Acín, S Massar

  • 1Laboratoire d'Information Quantique, CP 225, Université Libre de Bruxelles, Bvd Du Triomphe, 1050 Bruxelles, Belgium.

Nature
|April 16, 2010
PubMed
まとめ
この要約は機械生成です。

量子エンタグリングは,今や真のランダム性を証明し,デバイスの仮定なしに安全なランダムナンバーの生成を可能にすることができる. このブレークスルーは,絡み合った粒子とベル不等式違反を使用して,信頼性の高い,予測不可能なランダム数を得ています.

関連する実験動画

Last Updated: Jun 13, 2026

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
07:56

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

科学分野:

  • 量子情報科学とは,量子情報科学である.
  • 量子暗号化は,量子暗号化である.
  • 量子力学の基礎 量子力学の基礎

背景:

  • ランダム性は暗号学やシミュレーションなどのアプリケーションに不可欠ですが,本当に予測不能なランダム数を生成することは困難です.
  • 既存のランダムナンバージェネレーターは,理論的なモデリングの不正確さやデバイスの脆弱性のために信頼性が低い可能性があります.
  • デバイス独立の量子情報処理は,基本的な量子原理に依存することによって,これらの制限を克服する道を提供します.

研究 の 目的:

  • 絡み合った量子粒子の非局所的な相関が,真のランダム性を証明できることを実証するために.
  • 暗号的に安全なランダムナンバージェネレータを設計し,そのデバイスの内部動作から独立します.
  • 絡み合った原子とベル不等式違反を用いて理論的提案を実験的に検証する.

主な方法:

  • 約1メートル離れた2つの絡み合った原子の非局所的相関を利用した.
  • ベル不等式の違反を観察するために測定を行った.
  • 本物のランダム性の存在を証明するために,ベル不平等の違反を活用した.

主要な成果:

  • ほぼ完璧な検出効率でベル不等式違反を達成しました.
  • 99%の信頼性で42つの新しいランダムナンバーの生成を保証しました.
  • デバイス独立のランダム性生成のための概念証明を実証しました.

結論:

  • 絡み合った量子粒子は,真のランダム性を証明するために使用され,デバイス独立のランダム番号生成を可能にします.
  • このアプローチは,デバイスの内部メカニズムに関する仮定から自由で,ランダムな数字を生成するための暗号的に安全な方法を提供します.
  • この結果は,将来のデバイス独立量子情報実験の道を開き,量子ランダム性の基本的側面に取り組んでいます.