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Radiation: Applications01:17

Radiation: Applications

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The average temperature of Earth is the subject of much current discussion. Earth is in radiative contact with both the Sun and dark space; it receives almost all its energy from the radiation of the Sun and reflects some of it into outer space. Dark space is very cold, about 3 K, so Earth radiates energy into it. For instance, heat transfer occurs from soil and grasses, the rate of which can be so rapid that frost can occur on clear summer evenings, even in warm latitudes.
The average...
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Radiation Pressure: Problem Solving01:09

Radiation Pressure: Problem Solving

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The radiation pressure applied by an electromagnetic wave on a perfectly absorbing surface equals the energy density of the wave. The wave's momentum also gets transferred to the surface when an electromagnetic wave is entirely absorbed by it. The rate at which momentum is transmitted to an absorbing surface perpendicular to the propagation direction equals the force on the surface.
The average value of the rate of momentum transfer divided by the absorbing area represents the average force...
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Absorption of Radiation01:05

Absorption of Radiation

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The rate of heat transfer by emitted radiation is described by the Stefan-Boltzmann law of radiation:
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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
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放射線療法最適化のための量子コンピューティング

Robabeh Rahimi1, Akira SaiToh2, Arezoo Modiri1

  • 1Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Medical physics
|January 6, 2026
PubMed
まとめ
この要約は機械生成です。

量子コンピューティング（QC）は、放射線療法計画の最適化のための強力な新しいアプローチを提供し、複雑なシナリオで古典的方法を上回る。この研究はQCの実証を示す

キーワード:
がん治療医用物理学最適化量子コンピューティング量子最適化アルゴリズムヘルスケアにおける量子技術放射線療法

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Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
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科学分野:

  • 量子コンピューティング
  • 医用物理学
  • 計算最適化

背景:

  • 古典的な最適化手法は、複雑で大規模な放射線療法計画の問題に苦労しています。
  • 量子コンピューティング（QC）は、これらの課題に対する新しいソリューションを提供します。
  • 生物医学的アプリケーションは、複雑な最適化タスクのためにQCを活用することが増えています。

主な方法:

  • 単純化された放射線療法最適化問題を定式化した。
  • D-Waveの量子アニーリングとIBM QuantumハードウェアのQAOAを使用して解決した。
  • プルーフオブコンセプトおよび臨床的に関連性のある前立腺陽子線計画でハミルトニアン定式化をテストした。
  • スケーラビリティのために、1および2量子ビット/ボクセルエンコーディングを評価した。

結論:

  • 量子最適化は、放射線療法において古典的な方法に対する潜在的な利点を示しています。
  • ハミルトニアン定式化と実際のハードウェアでの検証は、QCベースの治療計画の重要なステップです。
  • 臨床統合のためのスケーラビリティと実用的な課題の克服に関するさらなる研究が必要です。