一个连贯的Ising机器用于2000节点的优化问题
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Updated: Mar 12, 2026

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Design and Optimization Strategies of a High-Performance Vented Box
Published on: June 9, 2023
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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.
概括
研究人员开发了一个用于组合优化的2000旋转网络,克服了当前Ising机器的可扩展性问题. 这种新型连贯的Ising机器在解决复杂问题方面表现出卓越的性能.
科学领域:
- 量子计算
- 复杂系统分析
- 组合优化
背景情况:
- 组合优化问题对于分析复杂系统至关重要.
- 将这些问题映射到Ising模型是一个常见的方法.
- 由于有限的旋转合,现有的物理 Ising 机器面临着可扩展性的限制.
研究的目的:
- 解决物理Ising机器中的可扩展性问题.
- 开发一种解决复杂优化问题的新方法.
- 实现一个大规模的Ising机器与全对全合.
主要方法:
- 构建了一个2000旋转网络,具有全对全旋转合.
- 使用时间复合的光学参数振荡器.
- 使用一个测量和反方案来解决问题.
- 应用该系统在任意图形拓上的最大切割问题.
主要成果:
- 实现了2000旋转网络,克服了以前的合限制.
- 在最多2000个节点的图表上成功实现了最大切断问题.
- 与2000节点完整图的模拟回火相比,证明了更高的准确性和计算时间.
结论:
- 开发的连贯Ising机器为组合优化提供了可扩展的解决方案.
- 这种方法显著提升了物理Ising机器的复杂问题解决潜力.
- 该系统有望应对各种科学领域的大规模优化挑战.
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