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Integrated Polarization, Distance, and Rotation for Multi‐DoF Diffractive Processor and Information Encryptionстатья
Статья опубликована в высокорейтинговом журнале
Статья опубликована в журнале из списка Web of Science и/или Scopus- Авторы: Zhang Teng, Zang Xiaofei, Tan Zhiyu, Wang Guannan, Guo Ziqing, Gao Zhe, Shkurinov Alexander P., Ding Fei, Zhu Yiming, Zhuang Songlin
- Журнал: Advanced Materials
- Год издания: 2025
- Издательство: Wiley - VCH Verlag GmbH & CO. KGaA
- Местоположение издательства: Germany
- DOI: 10.1002/adma.202506222
- Аннотация: All-optical diffractive deep neural networks (D2 NNs) offer significantadvantages in processing speed and power consumption, therebyaccelerating the development of optical computing and artificial intelligence(AI). Integrating multiple degrees of freedom (multi-DoF) into D 2 NNs is apivotal role in improving information processing and task-loading capacity, anenormous challenge in current all-optical diffractive computing/processors.Here, a multi-DoF diffractive processor is proposed and experimentallydemonstrated that leverages a metasurfaces-based approach to integratepolarization, distance, and rotation channels for versatile inference tasks andinformation encryption. The approach is validated using three-layermetasurfaces that enable high task-capacity tasks, including single-/dual-digitand single-/dual-fashion-product classification, logic operators, and imagetransformation. Moreover, by mapping large volumes of input data intomulti-DoF channels and encoding the information in Morse code with ourD2 NNs framework, a high-security information transmission system isexperimentally implemented. The integration of polarization, distance, androtation channels into an all-optical diffractive processor with multifunctionalcapabilities paves the way for multifunctional integrated devices andcommunication.
- Добавил в систему: Шкуринов Александр Павлович
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