Sequence‐Encoded Holography via Hanoi Tower‐Inspired Cascaded Liquid Crystal Optical Elements

Abstract Holographic display and information processing technologies based on encoded optical elements are increasingly recognized as promising solutions for optical encryption and image display, owing to their compact structure and high information density. However, most existing implementations on liquid crystal (LC) or metasurface platforms rely on static single‐layer modulation, restricting their scalability toward high‐capacity, multi‐channel, and reconfigurable control. Here, a Hanoi Tower‐inspired encoding framework is proposed, in which cascaded geometric‐phase LC layers define a set of non‐commutative transformation pathways, each uniquely governing the resulting holographic output—analogous to the hierarchical constraints of the Hanoi Tower puzzle. Leveraging both the number and stacking order of LC layers, the approach enables scalable coding with exponentially increasing channel capacity. Dual‐ and triple‐layer configurations are experimentally demonstrated, using three LC devices, and extend the architecture to five layers via numerical optimization, achieving 65 independent holographic channels. To support secure decoding, invisible blue quantum dot (QD) markers are integrated onto each LC layer, enabling physical identity recognition under UV illumination. The proposed platform offers high optical efficiency, enhanced security, and excellent scalability, making it well‐suited for next‐generation applications in optical encryption, volumetric storage, and reconfigurable display applications.

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Publication Details

Journal
Laser & Photonics Review
Published
2025-09-09
DOI
https://doi.org/10.1002/lpor.202501812
Citations
1
Primary Topic
Liquid Crystal Research Advancements
Type
article
Field-Weighted Citation Impact
0.43
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Sequence‐Encoded Holography via Hanoi Tower‐Inspired Cascaded Liquid Crystal Optical Elements

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1 citations
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article

Sequence‐Encoded Holography via Hanoi Tower‐Inspired Cascaded Liquid Crystal Optical Elements

Yinghui Guo, Xin Xu, Mingbo Pu, Zhishuai Zheng, Yanqin Wang, Runzhe Zhang, Qi Zhang, Fei Zhang, Mingfeng Xu, Xiaoyin Li, Hengshuo Guo, Xiangang Luo, Dapeng Zhang
article en
1 citations

Abstract

Abstract Holographic display and information processing technologies based on encoded optical elements are increasingly recognized as promising solutions for optical encryption and image display, owing to their compact structure and high information density. However, most existing implementations on liquid crystal (LC) or metasurface platforms rely on static single‐layer modulation, restricting their scalability toward high‐capacity, multi‐channel, and reconfigurable control. Here, a Hanoi Tower‐inspired encoding framework is proposed, in which cascaded geometric‐phase LC layers define a set of non‐commutative transformation pathways, each uniquely governing the resulting holographic output—analogous to the hierarchical constraints of the Hanoi Tower puzzle. Leveraging both the number and stacking order of LC layers, the approach enables scalable coding with exponentially increasing channel capacity. Dual‐ and triple‐layer configurations are experimentally demonstrated, using three LC devices, and extend the architecture to five layers via numerical optimization, achieving 65 independent holographic channels. To support secure decoding, invisible blue quantum dot (QD) markers are integrated onto each LC layer, enabling physical identity recognition under UV illumination. The proposed platform offers high optical efficiency, enhanced security, and excellent scalability, making it well‐suited for next‐generation applications in optical encryption, volumetric storage, and reconfigurable display applications.

Laser & Photonics ReviewVol. 20(2)
University of Electronic Science and Technology of China (CN), Chinese Academy of Sciences (CN), Institute of Optics and Electronics, Chinese Academy of Sciences (CN), Sichuan Research Center of New Materials (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 37%
Liquid Crystal Research Advancements
0.43
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