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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

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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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GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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Real Number System01:27

Real Number System

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The real number system includes all numbers used for counting, measuring, and comparing quantities. Natural numbers are the basic counting numbers: 1, 2, 3, and so on. Integers expand this set by including zero and negative whole numbers: ..., –3, –2, –1, 0, 1, 2, .... Rational numbers are those that can be expressed as the ratio of two integers m/n, where n≠0. This includes fractions like 1/2​, integers such as 46, and decimals that terminate, such as 0.17, or...
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Real Number Operations01:27

Real Number Operations

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The concept of real numbers includes all the values that can be represented on a continuous number line. The system began with basic counting values used for enumeration. It later expanded to include values that represent the absence of quantity and opposites of the counting values. When situations required expressing parts of a whole or dividing quantities evenly, values capable of representing such proportions were developed. When written using decimal notation, these values can end or repeat...
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2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

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

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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...
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ベンチマーキング MedMNIST データセットは,実際の量子ハードウェアに関するものです.

Gurinder Singh1, Hongni Jin1, Kenneth M Merz2

  • 1Center for Computational Life Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, 44106, USA.

Scientific reports
|February 14, 2026
PubMed
まとめ

この研究は,医療画像分類のための実際の量子ハードウェアの量子機械学習 (QML) を,MedMNISTデータセットを使用してベンチマークしています. 結果は,医療アプリケーションにおける量子コンピューティングの可能性を実証しています.

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科学分野:

  • 量子コンピューティング
  • 機械学習 (Machine Learning) とは,機械学習 (Machine Learning) について学ぶことです.
  • メディカルイマージング (医学イメージング)

背景:

  • 量子機械学習 (QML) は,複雑な分類作業の可能性を秘めています.
  • 医療画像分析には,強力な計算方法が必要です.

研究 の 目的:

  • 医療画像分類のための実際の量子ハードウェア上のQMLモデルをベンチマークするために.
  • MedMNISTデータセットにおける量子のみのモデルの実現可能性と性能を評価する.
  • 実践的なヘルスケアアプリケーションのための高度な量子コンピューティング技術を探求する.

主な方法:

  • 医療画像の事前処理により,空間的な次元を小さくします.
  • ハードウェア効率の良い,ノイズに耐える量子回路を生成する.
  • QMLモデルの最適化と訓練を古典的に行い,その後,IBMの量子ハードウェアで推論を行う.
  • エラー抑制と緩和の技術を実装する:ダイナミックデコップリング (DD),ゲート回転 (Twir),マトリックスフリー測定緩和 (M3).

主要な成果:

  • 127-キビットIBM量子プロセッサでQMLモデルのパフォーマンスを実証しました.
  • 分類の正確性を向上させるためのエラー軽減技術の有効性を示しました.
  • 医学イメージングにおけるQMLのベンチマークを確立しました.

結論:

  • 量子コンピューティングは,医療イメージングのタスクに希望を示しています.
  • 適切なエラー処理を備えたQMLモデルは,医療における実用的なアプリケーションで実現可能である.
  • この研究は,量子支援医療診断における将来の進歩のための基礎を築きます.