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Quantum Numbers02:43

Quantum Numbers

52.4K
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.
52.4K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

59.8K
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
2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)

1.5K
Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
1.5K
Electron Affinity03:07

Electron Affinity

43.8K
The electron affinity (EA) is the energy change for adding an electron to a gaseous atom to form an anion (negative ion).
43.8K
The Pauli Exclusion Principle03:06

The Pauli Exclusion Principle

59.6K
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:
59.6K
Periodic Classification of the Elements04:00

Periodic Classification of the Elements

60.5K
The periodic table arranges atoms based on increasing atomic number so that elements with the same chemical properties recur periodically. When their electron configurations are added to the table, a periodic recurrence of similar electron configurations in the outer shells of these elements is observed. Because they are in the outer shells of an atom, valence electrons play the most important role in chemical reactions. The outer electrons have the highest energy of the electrons in an atom...
60.5K

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関連する実験動画

Updated: Feb 14, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

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シリコンのプログラム可能な2キビット量子プロセッサ

T F Watson1, S G J Philips1, E Kawakami1

  • 1QuTech and the Kavli Institute of Nanoscience, Delft University of Technology, 2600 GA Delft, The Netherlands.

Nature
|February 15, 2018
PubMed
まとめ
この要約は機械生成です。

研究者は量子ドットスピン量子ビットを使って 拡張可能なシリコン量子プロセッサを開発しました この進歩は 重要な課題を克服し より大きく 欠陥を許容する 量子コンピュータの道を開きます

さらに関連する動画

Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping
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Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping

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Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
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Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

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関連する実験動画

Last Updated: Feb 14, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

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Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping
14:58

Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping

Published on: June 3, 2015

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Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
12:19

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

8.9K

科学分野:

  • 量子コンピューティング
  • 固体物理学

背景:

  • 個々の量子ビット (qubits) の高精度を達成することは,今や可能である.
  • 欠陥耐性量子コンピューティングに キュービット数を拡大することは大きな課題です

研究 の 目的:

  • 量子ドットベースのスピン量子ビットを使用するプログラム可能な2量子ビットプロセッサを実証します.
  • クイビット・クロスストーク,ステート・リーク, カリブレーション,制御ハードウェアの課題を克服する.

主な方法:

  • 量子ドットベースのスピンクビットを使用して,潜在的に高密度の統合と完全電気操作を行う.
  • 量子ビットの相互作用とエラーを管理するために慎重に設計された制御技術を採用しました.
  • 量子状態トモグラフィーを実行して 絡み合いを特徴付け 状態の忠誠度を測定しました

主要な成果:

  • プログラム可能な2キビット量子プロセッサを シリコンデバイスで成功裏に実証しました
  • 実行された正規量子アルゴリズム: Deutsch-JoszaとGroverの検索.
  • ベル州では85~89%の忠誠度と73~82%の一致率を達成した.

結論:

  • 開発された量子プロセッサは,量子コンピューティングのスケーリングにおける重要な課題を克服します.
  • シリコンの量子ドット・スピン・キュービットは より大きなスケールで 欠陥を許容する量子コンピュータを 構築する可能性を秘めています