量子化反向设计用于光子集成电路
Frederik Schubert1, Yannik Mahlau1, Konrad Bethmann1
1Institute for Information Processing, Leibniz University, 30167 Hannover, Germany.
ACS omega
|February 17, 2025
概括
本研究介绍了一种用于设计光子集成电路 (PIC) 的存储效率高的框架,使用反向模式自动分化. 该方法可以实现复杂的3D多材料结构,克服PIC设计中的计算挑战.
科学领域:
- 光子学和计算电磁学 电磁学
- 集成电路设计 集成电路设计
- 材料科学与工程 材料科学与工程
背景情况:
- 光子集成电路 (PIC) 的反向设计面临着重要的计算内存挑战.
- 像双光子聚合 (2PP) 这样的先进制造技术需要更灵活的优化算法来优化多材料3D结构.
- 现有的方法在新型制造工艺的复杂约束下扎.
研究的目的:
- 为有限差异时间域 (FDTD) 模拟开发一个内存高效的反向模式自动差异化框架.
- 为了使复杂的设计,多材料3D光子结构使用新的制造方法.
- 为了解决PIC反向设计中的计算限制.
主要方法:
- 实现了FDTD模拟的记忆效率高的反向模式自动差异化框架.
- 使用直通梯度估计来处理不可差异的形状参数化.
- 开发了优化算法,能够管理来自先进制造工艺的复杂约束.
主要成果:
- 成功设计了越来越复杂的光子结构,以解决PIC中的合问题.
- 证明了框架在处理内存密集型模拟中的有效性.
- 验证了创建具有独特属性的3D多材料结构的方法.
结论:
- 拟议的内存高效框架显著提升了PIC反向设计能力.
- 该方法可以使用新的制造技术来创建复杂的光子设备.
- 这种方法对未来的PIC设计和实际应用具有巨大的潜力.
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