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Follow on Google News | Advanced Optical Computing Method for Multiplexed Data Processing and EncryptionBy: ucla ita Permutation operations, essential for various applications, including telecommunications and encryption, have traditionally relied on electronic hardware. However, the UCLA team's advancement uses all-optical diffractive computing to perform these operations in a multiplexed manner, significantly improving efficiency and scalability. By leveraging the intrinsic properties of light, the research introduces a novel method to execute high-dimensional permutation operations through a multiplexed diffractive optical network. Innovative Diffractive Design The team's design features a reconfigurable multiplexed material, structured using deep learning algorithms. Each diffractive layer in the network can rotate in four orientations: Experimental Validation and Applications To demonstrate the practicality of this technology, the researchers approximated 256 randomly selected permutation matrices using four rotatable diffractive layers. They also showcased the design's versatility by integrating polarization degrees of freedom, further enhancing its multiplexing capabilities. The experimental validation, conducted using terahertz radiation and 3D-printed diffractive layers, closely matched the numerical results, underscoring the design's reliability and potential for real-world applications. Future Prospects The reconfigurable diffractive network offers mechanical reconfigurability, allowing multifunctional representation through a single fabrication process. This innovation is particularly promising for applications in optical switching and encryption, where high-speed, power-efficient information transfer and multiplexed processing are crucial. The UCLA team's transformative work not only paves the way for advanced data processing and encryption methods but also highlights the immense potential of optical computing technologies in addressing contemporary technological challenges. Original publication: End
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