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Atomic Structure01:33

Atomic Structure

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Overview
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Atomic Mass01:52

Atomic Mass

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Atoms — and the protons, neutrons, and electrons that compose them — are extremely small. For example, a carbon atom weighs less than 2 × 10−23 g. When describing the properties of tiny objects such as atoms, we use appropriately small units of measure, such as the atomic mass unit (amu). The amu was originally defined based on hydrogen, the lightest element, then later in terms of oxygen. Since 1961, it has been defined with regard to the most abundant isotope of carbon, atoms of which...
69.8K
Atomic Orbitals02:44

Atomic Orbitals

43.5K
An atomic orbital represents the three-dimensional regions in an atom where an electron has the highest probability to reside. The radial distribution function indicates the total probability of finding an electron within the thin shell at a distance r from the nucleus. The atomic orbitals have distinct shapes which are determined by l, the angular momentum quantum number. The orbitals are often drawn with a boundary surface, enclosing densest regions of the cloud.
43.5K
Hybridization of Atomic Orbitals I03:24

Hybridization of Atomic Orbitals I

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The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
66.2K
The Energies of Atomic Orbitals03:21

The Energies of Atomic Orbitals

30.0K
In an atom, the negatively charged electrons are attracted to the positively charged nucleus. In a multielectron atom, electron-electron repulsions are also observed. The attractive and repulsive forces are dependent on the distance between the particles, as well as the sign and magnitude of the charges on the individual particles. When the charges on the particles are opposite, they attract each other. If both particles have the same charge, they repel each other.
30.0K
The Atomic Theory of Matter02:59

The Atomic Theory of Matter

127.1K
The earliest recorded discussion of the basic structure of matter comes from ancient Greek philosophers. Leucippus and Democritus argued that all matter was composed of small, finite particles that they called atomos, meaning “indivisible.” Later, Aristotle and others came to the conclusion that matter consisted of various combinations of the four “elements” — fire, earth, air, and water — and could be infinitely divided. Interestingly, these philosophers...
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Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays
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絡み合った原子センサーの配列による多パラメータ推定

Yifan Li1, Lex Joosten1, Youcef Baamara2

  • 1Department of Physics, University of Basel, Klingelbergstrasse 82, Basel, Switzerland.

Science (New York, N.Y.)
|January 22, 2026
PubMed
まとめ
この要約は機械生成です。

研究者らは,絡み合った原子集合を用いて,マルチパラメータ量子計測を実証した. この進歩により フィールドセンサやイメージング装置の精度は 標準的な量子限界を超えています

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Molecular Entanglement and Electrospinnability of Biopolymers
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A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
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A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

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関連する実験動画

Last Updated: Jan 24, 2026

Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays
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Molecular Entanglement and Electrospinnability of Biopolymers
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A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
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科学分野:

  • 量子物理学
  • 量子メトロロジー
  • 原子物理学

背景:

  • 量子メトロロジーは 絡み合った状態を使って 測定精度を高めます
  • 単一パラメータの推定は確立されていますが,多パラメータの共同推定は理論上の課題です.

研究 の 目的:

  • マルチパラメータ量子計測を実験的に実証する.
  • フレキシブルな原子センサ配列を作り出すために
  • 共同評価のタスクで標準の量子限界を大幅に上回る.

主な方法:

  • 絡み合った原子の配列を用いて
  • センサ配列を作るため,スピン-圧縮アンサンブルを分割します.
  • 最適な推定プロトコルを実行します.

主要な成果:

  • マルチパラメータ量子メトロロジーの実証実験が成功しました
  • 構成可能な原子センサー配列の作成
  • 共同推定の標準量子限界を超えた 重要な精度向上を達成しました

結論:

  • フィールドセンサ配列とイメージングデバイスの量子強化の概念を確立しました.
  • 先進的なセンサー技術に 新たな道を開きました
  • 精密な多パラメータ測定のための絡み合った原子集合の可能性を検証した.