发表机构
XLIM Research Institute, CNRS UMR 7252, Université de Limoges; Adelaide University; City University of Hong Kong; QXP Technologies Inc.; Swinburne University of Technology; Institut National de la Recherche Scientifique - Centre Énergie Matériaux Télécommunications（利摩日大学 XLIM 研究所; 阿德莱德大学; 香港城市大学; QXP 科技有限公司; 斯威本科技大学; 国家科学研究学院 - 能源材料电信中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出结合可编程集成光子学与机器学习，实现宽带超快光波包的光谱-时间可扩展按需整形，在400纳米带宽上以皮秒分辨率验证了有效性。
AI 中文摘要
精确地在多个自由度上整形光的性质的能力构成了现代光子架构的基础。具有可寻址光谱-时间内容的宽带光源，对于生物医学成像、材料加工、激光雷达和超快光谱学等应用至关重要，同时也是量子信息处理、高容量通信和光学计算中的关键使能技术。然而，灵活且可调的光谱-时间整形至今仍是一项重大挑战，因为它需要在从飞秒到纳秒的宽光谱带宽和长时间尺度上同时操控频率和时间域。重要的是，传统的光谱-时间处理方法通常依赖于庞大且复杂的光学系统，这些系统缺乏可扩展性和灵活性，最终阻碍了它们在需要可寻址多光子过程的应用中的实用性。在此，我们提出了一种在宽带宽上进行光谱-时间波包控制的框架，将可编程集成光子学与高速光学表征相结合。利用机器学习来定制非线性脉冲传播，我们实验性地展示了可扩展且按需的宽带超快脉冲模式整形。我们通过可重构的400纳米带宽功率（具有皮秒分辨率）证明了我们方法的有效性，为精确控制光至关重要的应用，特别是需要多功能且可控多光子激发的应用，带来了前景。
英文摘要
The ability to precisely shape the properties of light over multiple degrees of freedom constitutes the foundation of modern photonic architectures. Broadband sources with addressable spectro-temporal content are for instance critical for applications spanning biomedical imaging, material processing, lidar, and ultrafast spectroscopy, but also key enabling technologies in quantum information processing, high-capacity communications, and optical computing. Yet, flexible and adjustable spectro-temporal shaping so far remains a significant challenge, as it requires the simultaneous manipulation of both frequency and temporal domains across broad spectral bandwidths and extended timescales, from femtoseconds to nanoseconds. Importantly, conventional approaches to spectro-temporal processing typically rely on bulky and complex optical systems that lack scalability and flexibility, ultimately hampering their utility for applications requiring addressable multiphotonic processes. Here, we present a framework for spectro-temporal wavepacket control over a broad bandwidth, merging programmable integrated photonics with high-speed optical characterization. Leveraging machine leaning for tailoring nonlinear pulse propagation, we experimentally report scalable and on-demand shaping of broadband ultrafast pulse patterns. We demonstrate the efficacy of our method through reconfigurable power across 400 nm bandwidth with picosecond resolution, with promises for applications where precise control over light is paramount, in particular those needing versatile and controllable multiphoton excitations.
Comments22 pages, 6 figures
