Year
Month
(Peer-Reviewed) Multi-dimensional multiplexing optical secret sharing framework with cascaded liquid crystal holograms
Keyao Li 李珂瑶 ¹ ², Yiming Wang 王一鸣 ³, Dapu Pi 皮大普 ¹, Baoli Li 李保莉 ¹, Haitao Luan 栾海涛 ¹, Xinyuan Fang 方心远 ¹, Peng Chen 陈鹏 ³, Yanqing Lu 陆延青 ³, Min Gu 顾敏 ¹
¹ Institute of Photonic Chips, University of Shanghai for Science and Technology, Shanghai 200093, China
中国 上海 上海理工大学光子芯片研究院
² Centre for Artificial-Intelligence Nanophotonics, School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
中国 上海 上海理工大学光电信息与计算机工程学院 人工智能纳米光子学中心
³ National Laboratory of Solid State Microstructures, and College of Engineering and Applied Sciences, Nanjing University, Nanjing 210093, China
中国 南京 南京大学现代工程与应用科学学院 固体微结构物理国家重点实验室
Opto-Electronic Advances, 2024-01-25
Abstract

Secret sharing is a promising technology for information encryption by splitting the secret information into different shares. However, the traditional scheme suffers from information leakage in decryption process since the amount of available information channels is limited.

Herein, we propose and demonstrate an optical secret sharing framework based on the multi-dimensional multiplexing liquid crystal (LC) holograms. The LC holograms are used as spatially separated shares to carry secret images. The polarization of the incident light and the distance between different shares are served as secret keys, which can significantly improve the information security and capacity.

Besides, the decryption condition is also restricted by the applied external voltage due to the variant diffraction efficiency, which further increases the information security. In implementation, an artificial neural network (ANN) model is developed to carefully design the phase distribution of each LC hologram.

With the advantage of high security, high capacity and simple configuration, our optical secret sharing framework has great potentials in optical encryption and dynamic holographic display.
Multi-dimensional multiplexing optical secret sharing framework with cascaded liquid crystal holograms_1
Multi-dimensional multiplexing optical secret sharing framework with cascaded liquid crystal holograms_2
Multi-dimensional multiplexing optical secret sharing framework with cascaded liquid crystal holograms_3
  • Programmable directional photonic spiking neuron based on a non-Hermitian silicon microresonator
  • Stefano Biasi, Bülent Aslan, Stefano Gretter, Davide Olivieri, Alessandro Foradori, Riccardo Franchi, Lorenzo Pavesi
  • Opto-Electronic Science
  • 2026-08-26
  • Mutual empowerment of artificial intelligence and metasurfaces: intelligent nanophotonics and optical intelligence
  • Yu Zhao, Zile Li, Yongquan Zeng, Shaohua Yu, Guoxing Zheng
  • Opto-Electronic Science
  • 2026-08-26
  • Heterogeneously integrated micro-ring with SnS₂ for dual-functional optical modulation and photodetection
  • Jinyi Du, Lidan Lu, Xu Zhang, Bofei Zhu, Wenbo Bo, Yingjie Xu, Guang Chen, Yanlin He, Guanghui Ren, Xiaoping Lou, Zheng You, Lianqing Zhu
  • Opto-Electronic Advances
  • 2026-08-25
  • Hardware-aware lightweight photonic spiking neural network for pattern classification
  • Shuiying Xiang, Yahui Zhang, Shangxuan Shi, Haowen Zhao, Dianzhuang Zheng, Xingxing Guo, Yanan Han, Ye Tian, Liyue Zhang, Yuechun Shi, Yue Hao
  • Opto-Electronic Advances
  • 2026-08-25
  • PhyspeNet: An empirical physics-aware network for adaptive speckle reconstructive spectrometry
  • Junrui Liang, Min Jiang, Jun Li, Zhongming Huang, Junhong He, Yanting Guo, Yanzhao Ke, Jun Ye, Jiangming Xu, Jinyong Leng, Pu Zhou
  • Opto-Electronic Advances
  • 2026-08-25
  • Video-rate wavefront capture and replay via single-shot reference-free measurement: toward holographic telepresence
  • Minwook Kim, Chansuk Park, Chulmin Oh, KyeoReh Lee, Herve Hugonnet, YongKeun Park
  • Opto-Electronic Advances
  • 2026-08-25
  • Luminescent YAG:Ce³⁺ 3D micro-structures via multi-photon laser lithography
  • Robertas Virkėtis, Greta Merkininkaitė, Artūr Harnik, Ugnė Ūsaitė, Dominykas Dapšys, Arturo Susarrey-Arce, Simas Šakirzanovas, Mangirdas Malinauskas
  • Opto-Electronic Advances
  • 2026-08-25
  • A 36 × 240 Gbps hybrid mode/wavelength division multiplexing transmitter using lithium niobate on insulator
  • Mingyu Zhu, Weihan Wang, Ruitao Ma, Aoyun Gao, Chun Gao, Zexu Wang, Fei Huang, Zhenyuan Bao, Dajian Liu, Jiaxuan Gan, Zejie Yu, Huan Li, Weike Zhao, Daoxin Dai
  • Opto-Electronic Advances
  • 2026-08-25
  • Scalable spatiotemporal interleaving network for high-density integrated photonic convolution
  • Hudi Liu, Jingchi Li, Hua Zhong, Yu He, Yikai Su
  • Opto-Electronic Science
  • 2026-07-24
  • From non-resonant to resonant meta-devices: imaging, color routing, displaying, and beyond
  • Weihan Liu, Yao Liang, Borui Leng, Shufan Chen, Peng-Yi Feng, Din Ping Tsai
  • Opto-Electronic Science
  • 2026-07-24
  • Light-perception-based interactive control of an underwater digital twin hand
  • Jinlong Lu, Chao Zhang, Hengchang Nong, Dongying Wang, Hongyu Zhou, Junjie Weng, Yuehua Deng, Yang Yu, Qiang Bian, Jianfa Zhang, Chaofan Zhang, Zhenrong Zhang, Junbo Yang
  • Opto-Electronic Advances
  • 2026-07-10
  • Digital twin optical computing system
  • Run Sun, Yuemin Li, Tingzhao Fu, Wencan Liu, Sigang Yang, Hongwei Chen
  • Opto-Electronic Advances
  • 2026-07-10



  • Dynamic interactive bitwise meta-holography with ultra-high computational and display frame rates                                Physics-informed deep learning for fringe pattern analysis
    About
    |
    Contact
    |
    Copyright © PubCard