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関連する概念動画

Quantum Numbers02:43

Quantum Numbers

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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.
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The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

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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.
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The Fluid Mosaic Model01:34

The Fluid Mosaic Model

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The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.
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Fluid Pressure01:14

Fluid Pressure

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In mechanical engineering, fluid pressure plays a critical role in designing systems that utilize liquid flow, such as hydraulic systems, pumps, and valves. When designing these systems, engineers must ensure they can withstand the forces created by fluid pressure to avoid damage or failure.
According to Pascal's law, a fluid at rest will generate equal pressure in all directions. This pressure is measured as a force per unit area, and its magnitude depends on the fluid's specific...
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Accelerating Fluids01:17

Accelerating Fluids

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When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
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Cerebrospinal Fluid01:21

Cerebrospinal Fluid

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Cerebrospinal fluid (CSF) is a colorless liquid that flows around the brain and the spinal cord, playing a vital role in the protection, support, and overall function of the central nervous system (CNS). CSF production, circulation, and absorption are tightly regulated processes essential for the brain and spinal cord to function properly.
CSF Production
CSF is produced mainly in the choroid plexus, a network of capillaries and ependymal cells located within the ventricular system of the brain....
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Updated: Feb 12, 2026

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
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Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

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超伝導量子プロセッサ上での流体渦相互作用のシミュレーション

Ziteng Wang1, Jiarun Zhong2, Ke Wang2

  • 1School of Aeronautics and Astronautics, Zhejiang University, Hangzhou, 310027, China.

Nature communications
|February 10, 2026
PubMed
まとめ
この要約は機械生成です。

本研究では、複雑な渦相互作用をシミュレーションするための量子渦法を導入し、従来の流体力学シミュレーションの計算上の課題を克服する。この量子アプローチは、自然な渦ダイナミクスを正常に再現し、流体システムにおける量子コンピューティングへの道を開く。

キーワード:
量子渦法流体力学量子コンピューティング渦相互作用ナビエ・ストークス方程式量子シミュレーション

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Comparison of Two Different Synthesis Methods of Single Crystals of Superconducting Uranium Ditelluride
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Comparison of Two Different Synthesis Methods of Single Crystals of Superconducting Uranium Ditelluride
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科学分野:

  • 流体力学
  • 量子コンピューティング
  • 計算物理学

背景:

  • 渦相互作用は、大気乱流やプラズマダイナミクスなど、さまざまな分野で重要です。
  • これらの相互作用のシミュレーションは計算集約的であり、長期間にわたって微細な詳細が必要となります。
  • 従来の計算方法では、複雑な渦ダイナミクスに対して大きな計算負荷がかかります。

研究 の 目的:

  • 多重渦相互作用のシミュレーションのための量子渦法の開発。
  • ナビエ・ストークス方程式を量子力学的枠組み内に再定式化する。
  • 流体力学シミュレーションのための量子コンピューティングの活用。

主な方法:

  • 渦系の有効ハミルトニアンを構築しました。
  • 時空間進化回路を量子シミュレーションのために実装しました。
  • 8量子ビットの超伝導量子プロセッサを利用しました。

主要な成果:

  • 量子法を用いて自然な渦相互作用を正常に再現しました。
  • 量子コンピュータ上での渦ダイナミクスのシミュレーションの実現可能性を示しました。
  • 高いゲート忠実度（単一量子ビット99.97%、2量子ビット99.76%）を達成しました。

結論:

  • 渦ダイナミクスを量子波動関数の表現に再定式化するためのフレームワークを確立しました。
  • 流体システムの量子シミュレーションのための時空間エンコーディングスキームを開発しました。
  • 流体力学研究における量子リソースの活用への道筋を提供しました。