发表机构
University of Maryland, College Park（马里兰大学帕克分校）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出可微射线-波动方法DiffRayve，兼顾保真度与效率，实现偏振复合折射-衍射系统梯度优化，并验证于宽视场消色差透镜设计。
AI 中文摘要
当前的深度光学仿真在平衡高保真度与计算效率方面面临挑战，尤其是对于复杂的偏振和衍射系统。为解决这一问题，我们提出了一种完全可微的射击和弹跳射线（SBR）算法，该算法同时模拟几何光学和物理光学场。与标准波动光学方法不同，我们的方法能够在不承受全波仿真计算成本的情况下，对偏振复合折射-衍射系统进行精确的基于梯度的优化。我们针对解析夫琅禾费衍射图样以及最先进的傅里叶光学和波动光学方法验证了我们的方法。我们通过一个应用展示了可微引擎的实际效用：设计具有多个衍射光学元件（DOEs）的宽视场消色差透镜。
英文摘要
Current deep optics simulations struggle to balance high fidelity with computational efficiency, particularly for complex polarized and diffractive systems. To address this, we introduce a fully differentiable Shooting and Bouncing Ray (SBR) algorithm that simultaneously models geometric and physical optics fields. Unlike standard wave optics methods, our approach enables accurate, gradient-based optimization of polarized compound refractive-diffractive systems without the computational cost of full-wave simulations. We validate our method against analytical Fraunhofer diffraction patterns and state-of-the-art Fourier optics and wave optics methods. We showcase the practical utility of our differentiable engine through one application: designing a wide field-of-view achromatic lens with multiple Diffractive Optical Elements (DOEs).
