用深度学习设计的光栅表面，可同时存储投影4000+张图像。
Wavelength-multiplexed massively parallel diffractive optical information storage and image projection
- 通过深度学习优化纳米结构，按波长分路并行存储图像。
- 模拟显示可存4000+图像，跨波段无串扰，输出质量高。
- 实验证明6波长可同时投射6张图，适合大容量光存储应用。
我们提出一种基于介电表面的波长复用大规模并行衍射信息存储平台，利用深度学习在波长尺度上对结构进行优化，可将数千个不同图像模式分别分配至独特波长进行存储与投影。在可见光谱的数值仿真中，该波长复用衍射系统可在输出视场内存储并投影超过4,000个独立的期望图像/图案，图像质量高且各光谱通道间串扰极小。此外，在概念验证实验中，我们展示了两层衍射结构设计，成功在六个不同波长（500、548、596、644、692 和 740 nm）下，将六种不同图案同时投影至同一输出视场。该衍射架构具有可扩展性，无需材料色散工程或重新设计优化的衍射层，即可在电磁波谱的多个区域运行。所展示的存储容量、重建图像保真度以及波长编码的大规模并行读出，为大规模光学信息存储和图像投影提供了紧凑、快速访问的解决方案。
原文摘要 · Abstract (English)
We introduce a wavelength-multiplexed massively parallel diffractive information storage platform composed of dielectric surfaces that are structurally optimized at the wavelength scale using deep learning to store and project thousands of distinct image patterns, each assigned to a unique wavelength. Through numerical simulations in the visible spectrum, we demonstrated that our wavelength-multiplexed diffractive system can store and project over 4,000 independent desired images/patterns within its output field-of-view, with high image quality and minimal crosstalk between spectral channels. Furthermore, in a proof-of-concept experiment, we demonstrated a two-layer diffractive design that stored six distinct patterns and projected them onto the same output field of view at six different wavelengths (500, 548, 596, 644, 692, and 740 nm). This diffractive architecture is scalable and can operate at various parts of the electromagnetic spectrum without the need for material dispersion engineering or redesigning its optimized diffractive layers. The demonstrated storage capacity, reconstruction image fidelity, and wavelength-encoded massively parallel read-out of our diffractive platform offer a compact and fast-access solution for large-scale optical information storage, image projection applications.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。