具有任意和宽带功能的深度光子网络
Deep Photonic Networks with Arbitrary and Broadband Functionality
AI总结：
提出一种基于定制 Mach-Zehnder 干涉仪深度光子网络的高度可扩展物理驱动设计框架，可在两分钟内设计出插入损耗低于 0.66 dB、1-dB 带宽超过 120 nm 的超宽带光子器件，为大规模多波段光学应用提供系统化设计路径。
摘要：
光通信、计算和传感领域不断增长的应用空间持续推动着对高性能集成光子器件的需求。设计具有复杂和特定应用功能的片上系统超出了物理直觉所能实现的范围，因此基于机器学习的设计方法近期变得流行。然而，由于物理精确的器件仿真所需的昂贵计算需求仍然是一个关键挑战，这些方法在可扩展性以及它们能为特定应用和任意光子集成电路提供的光学设计自由度方面通常仍然受限。在此，我们引入了一种高度可扩展的、物理信息驱动的框架，用于设计基于定制 Mach-Zehnder 干涉仪深度光子网络的任意功能片上光学系统。使用该框架，我们设计了超宽带功率分配器和光谱双工器，每个设计耗时不到两分钟，并展示了最先进的实验性能，所有器件的插入损耗低于 0.66 dB，1-dB 带宽超过 120 nm。我们提出的框架提供了一个重要工具，为系统化设计具有定制和宽带功率、相位及色散特性的大规模光子系统提供了一条可行路径，适用于包括高通量通信、量子信息处理和医疗/生物传感在内的多波段光学应用。
英文摘要：
Growing application space in optical communications, computing, and sensing continues to drive the need for high-performance integrated photonic components. Designing these on-chip systems with complex and application-specific functionality requires beyond what is possible with physical intuition, for which machine learning-based design methods have recently become popular. However, as the expensive computational requirements for physically accurate device simulations last a critical challenge, these methods typically remain limited in scalability and the optical design degrees of freedom they can provide for application-specific and arbitrary photonic integrated circuits. Here, we introduce a highly-scalable, physics-informed framework for the design of on-chip optical systems with arbitrary functionality based on a deep photonic network of custom-designed Mach-Zehnder interferometers. Using this framework, we design ultra-broadband power splitters and a spectral duplexer, each in less than two minutes, and demonstrate state-of-the-art experimental performance with less than 0.66 dB insertion loss and over 120 nm of 1-dB bandwidth for all devices. Our presented framework provides an essential tool with a tractable path towards the systematic design of large-scale photonic systems with custom and broadband power, phase, and dispersion profiles for use in multi-band optical applications including high-throughput communications, quantum information processing, and medical/biological sensing.
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