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関連する概念動画

Optimization Problems01:26

Optimization Problems

110
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
110
Machines: Problem Solving I01:22

Machines: Problem Solving I

775
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
775
Machines: Problem Solving II01:30

Machines: Problem Solving II

724
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
724
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

380
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
380
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

1.3K
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
1.3K
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

806
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
806

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Design and Optimization Strategies of a High-Performance Vented Box
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Design and Optimization Strategies of a High-Performance Vented Box

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2000ノードの最適化問題を扱うコヒーレントなイージングマシン

Takahiro Inagaki1, Yoshitaka Haribara2,3,4, Koji Igarashi5

  • 1NTT Basic Research Laboratories, NTT Corporation, 3-1 Morinosato Wakamiya, Atsugi, Kanagawa 243-0198, Japan. inagaki.takahiro@lab.ntt.co.jp takesue.hiroki@lab.ntt.co.jp.

Science (New York, N.Y.)
|November 5, 2016
PubMed
まとめ
この要約は機械生成です。

研究者はコンビネトリアル最適化のための2000回転ネットワークを開発し,現在のIsingマシンのスケーラビリティ問題を克服しました. この新しいコヒーレントなアイシングマシンは 複雑な問題解決に優れた性能を示しています

さらに関連する動画

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

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関連する実験動画

Last Updated: Mar 12, 2026

Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

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科学分野:

  • 量子コンピューティング
  • 複雑なシステムの分析
  • 組み合わせ最適化

背景:

  • 複合的なシステムを分析するには,組み合わせ最適化問題が不可欠です.
  • これらの問題をイージングモデルにマッピングすることは一般的なアプローチです.
  • 既存の物理的なイージングマシンは,制限されたスピンカップリングのためにスケーラビリティの制限に直面しています.

研究 の 目的:

  • 物理的なIsingマシンのスケーラビリティの問題に対処するために.
  • 複雑な最適化問題を解くための新しいアプローチを開発する.
  • オールツーオールカップリングを搭載した大規模なアイシングマシンを導入する.

主な方法:

  • 2000回転のネットワークを組み立てました
  • タイム マルチプレックス 変性 光学 パラメトリック オシレータを使用した.
  • 問題の実行のための測定とフィードバックのスキームを使用しました.
  • 任意のグラフのトポロジーで最大カット問題を適用した.

主要な成果:

  • 2000回転のネットワークを達成し,以前のカップリングの制限を克服しました.
  • 2000ノードまでのグラフで最大カット問題を成功裏に実装しました.
  • 2000ノードの完全なグラフのシミュレートアニリングと比較して優れた精度と計算時間を実証した.

結論:

  • 開発されたコヒーレント・アイシング・マシンは,組み合わせの最適化のためのスケーラブルなソリューションを提供します.
  • このアプローチは,複雑な問題解決のための物理的なアイシングマシンの可能性を大幅に高めます.
  • このシステムは,様々な科学分野における大規模な最適化課題に取り組むための希望を示しています.