标题： 数据驱动的光子集成电路编程 显示英文标题

标题： Data Driven Programming of Photonic Integrated Circuits

摘要： 编程光子集成电路硬件通常是一个具有挑战性的任务，因为光子芯片中存在非理想因素。 这些包括制造缺陷和寄生效应，如热串扰，这会导致控制信号之间的不需要的耦合。 基于理想化模型的传统控制方法往往无法考虑这些现象，导致期望电路行为与实际电路行为之间存在显著差异。 在本工作中，我们提出了一种数据驱动的方法，用于控制热调谐马赫-曾德尔干涉仪（MZI）的网格，该方法利用了一个机器学习（ML）模型，通过预先调整提供给集成相位调制器的电信号来补偿这些非理想因素。 所提出的ML系统使用合成数据集进行评估，并在3 x 3三角形MZI网格上进行实验验证。 结果表明，数据驱动控制器显著提高了编程精度，为光子集成电路的精确编程提供了稳健的解决方案。 显示英文摘要

摘要： Programming photonic integrated hardware often reveals as a challenging task because of the presence of non-idealities in the photonic chip. These include fabrication imper- fections and parasitic effects such as thermal crosstalk, which cause unwanted coupling between control signals. Traditional control methods based on idealized models often fail to account for these phenomana, leading to significant discrepancies between the desired and actual circuit behaviour. In this work, we propose a data-driven approach for control- ling meshes of thermally tuneable Mach Zehnder interferometers (MZIs), which exploits a machine learning (ML) model trained to compensate for these non-idealities by pre- adjusting the electrical power given to integrated phase shifters. The proposed ML system is assessed using synthetic datasets and experimentally validated on a 3 x 3 triangular MZI mesh. Results demonstrate that the data-driven controller significantly improves program- ming accuracy, offering a robust solution for accurate programming of photonic integrated circuits.