可编程的 200 GOPS 霍普菲尔德灵感的光子Ising机器
Nayem Al-Kayed1,2, Charles St-Arnault2,3, Hugh Morison1,2
1Centre for Nanophotonics, Department of Physics, Engineering Physics, and Astronomy, Queen's University, Kingston, Ontario, Canada.
Nature
|December 17, 2025
概括
这项研究介绍了一种基于室温光电子振荡器 (OEO) 的新型Ising机器. 这种可扩展的光子系统实现了复杂的优化问题的高速计算,超过了现有的光子Ising机器.
科学领域:
- 物理 物理学 物理
- 计算机科学 计算机科学
- 工程 工程师 工程师 工程师
背景情况:
- 对于NP难题,Ising机器是有前途的,但目前的物理实现缺乏可扩展性,可重新配置性,速度和稳定性.
- 量子化器面临着可扩展性的局限性,原因是密集图的二次量子比特要求.
- 现有的光子Ising机器难以解决大规模的问题.
研究的目的:
- 引入一个可编程,稳定的,基于室温光电子振荡器 (OEO) 的线性缩放的Ising机器.
- 为了展示一个能够解决大规模组合优化问题的光子Ising机器.
- 探索将数字信号处理 (DSP) 集成到光学计算中的潜力,以提高性能.
主要方法:
- 开发了使用级联薄膜酸 (TFLN) 调制器,半导体光学放大器 (SOA) 和DSP引擎的反复时间编码循环架构.
- 为了解决问题,在旋转表示中实现了线性缩放.
- 利用来自高 baud率的固有噪声来逃避局部最小值并加速融合.
主要成果:
- 展示了一种能够解决完全连接的问题系统,最长可达256次旋转,并且可以解决超过41,000次旋转的稀疏问题.
- 实现了超过每秒200千兆运算 (GOPS) 的潜在计算速度.
- 在最大切割问题 (2,000 和 20,000 旋转) 和数字分区和格子蛋白质折叠基准的基本状态解决方案中获得了最优质的解决方案质量.
结论:
- 开发的基于OEO的Ising机器为复杂的优化提供了可扩展的,高速的,室温解决方案.
- 集成DSP提高了融合和解决方案质量,为先进的光学计算铺平了道路.
- 该平台为优化,神经形态处理和模拟人工智能领域的超高速计算开辟了新的前沿.
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