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Path Between Thermodynamics States01:21

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Consider the two thermodynamic processes involving an ideal gas that are represented by paths AC and ABC in Figure 1:
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Consider an arbitrary process that moves between two specific states (A and B) in a cyclic manner. This process is reversible and broken down into smaller parts that each follow a Carnot cycle. A Carnot cycle has two isothermal (constant temperature) processes. During these processes, the ratio of the amount of heat transferred to their respective temperature remains constant. The other two processes in the Carnot cycle are also reversible but adiabatic, which means they occur without any heat...
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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...
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Ras-related nuclear protein or Ran is a small G protein that cycles between its GTP and GDP bound states. Ran specific regulators, a Ran GTPase Activating Protein or RanGAP present in the cytosol and a Ran guanine nucleotide exchange factor or RanGEF present inside the nucleus regulate GTP/GDP exchange. A high concentration of GTP inside the cells, in addition to this asymmetric distribution of  Ran-specific regulators, leads to a higher RanGTP concentration inside the nucleus. This...
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2つの量子状態間の最適な経路をマッピングする.

S J Weber1, A Chantasri2, J Dressel3

  • 1Quantum Nanoelectronics Laboratory, Department of Physics, University of California, Berkeley, California 94720, USA.

Nature
|August 1, 2014
PubMed
まとめ
この要約は機械生成です。

研究者は,超伝導回路の個々の量子軌道を再構築し,状態間の最も可能性の高い経路を明らかにしました. この研究は,状態制御と情報処理のための最適な量子制御方法について情報を提供する.

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科学分野:

  • 量子力学は,量子力学という
  • 量子情報処理とは,量子情報処理である.
  • 超伝導回路は,超伝導回路である.

背景:

  • 量子測定は確率的であり,システムの進化を混乱させる.
  • 測定変動のなかでの量子システムの制御は,量子技術にとって極めて重要です.
  • ストキャスティック量子進化の理解は,高度な制御戦略の開発の鍵です.

研究 の 目的:

  • 超伝導回路における個々の量子軌道を再構築する.
  • 継続的な測定と運転下で量子状態の間の最も可能性のある経路を特定する.
  • 量子状態操作のための最適な制御信号を明らかにするために.

主な方法:

  • 個々の量子軌道を再構築する.
  • 量子状態の前・後の選択. 量子状態の前・後の選択.
  • 弱い測定とラビドライブ下でストキャスティック進化の分析.
  • 最小効果の原則を適用する.

主要な成果:

  • 超伝導回路のための個々の量子軌道を成功裏に再構築した.
  • 指定された初期状態と最終状態の間の量子状態空間を通る最も可能性のある経路を推論した.
  • 状態制御のための最適な,時間連続の検出器信号を特定しました.
  • 測定ダイナミクスと単位進化の相互作用を実証した.

結論:

  • この研究は,量子状態の移行のための最適な経路を明らかにし,新しい制御方法に情報を与えます.
  • この発見は,量子測定と単位進化のダイナミクスについての洞察を提供します.
  • この研究は,状態制御および情報処理アプリケーションの量子制御を進める可能性があります.