Advanced Photonics, Volume. 7, Issue 6, (2025)

Quantum-Secured DSP-Lite Data Transmission Architectures for AI-Driven Data Centres [Early Posting]

Yan Siqi, Ji Xitao, He Wenjie, Chen Junda, Zhang Mingming, Li Yuqi, Zhou Ziwen, Song Zhuoxuan, Wei Kejin, Wu Hao, Tang Ming, Wang Shuang, Zhang Zhenrong
Author Affiliations
  • Huazhong University of Science and Technology
  • Guangxi University
  • Changchun University of Science and Technology
  • China
  • show less

    Artificial intelligence-driven (AI-driven) data centres, which require high-performance, scalable, energy-efficient, and secure infrastructure, have led to unprecedented data traffic demands. These demands involve low latency, high bandwidth connections, low power consumption, and data confidentiality. However, conventional optical interconnect solutions, such as intensity-modulated direct detection and traditional coherent systems, cannot address these requirements simultaneously. In particular, conventional encryption protocols that rely on complex algorithms are increasingly vulnerable to the rapid advancement of quantum computing. Here, we propose and demonstrate a quantum-secured digital signal processing-lite (DSP-Lite) data transmission architecture that meets all the stringent requirements for AI-driven data centre optical interconnects (AI-DCIs) scenarios. By integrating a self-homodyne coherent (SHC) system and quantum key distribution (QKD) through the multicore-fibre-based space division multiplexing (SDM) technology, our scheme enables secure, high-capacity, and energy-efficient data transmission while ensuring resilience against quantum computing threats. In our demonstration, we achieved an expandable transmission capacity of 2 Tbit per second (Tb/s) with quantum secret key rate (SKR) of 229.2 kb/s, and further validated real-time encrypted transmission using AES-256 encryption with QKD-generated keys. Our work paves the way for constructing secure, scalable, and cost-efficient data transmission frameworks, enabling the next generation of intelligent, leak-proof optical interconnects for data centres.

    Paper Information

    Manuscript Accepted: Jul. 17, 2025

    Posted: Sep. 8, 2025

    DOI: AP