Multichip multidimensional quantum networks with entanglement retrievability

作者：Yun Zheng, Chonghao Zhai, Dajian Liu, Jun Mao, Xiaojiong Chen, Tianxiang Dai, Jieshan Huang, Jueming Bao, Zhaorong Fu, Yeyu Tong, Xuetong Zhou, Yan Yang, Bo Tang, Zhihua Li, Yan Li, Qihuang Gong, Hon Ki Tsang, Daoxin Dai, Jianwei Wang · 发表于：Science · 年份：2023 · DOI：10.1126/science.adg9210 · 被引用次数：102 · 研究领域：Neural Networks and Reservoir Computing、Quantum Information and Cryptography、Optical Network Technologies

Quantum networks provide the framework for quantum communication, clock synchronization, distributed quantum computing, and sensing. Implementing large-scale and practical quantum networks relies on the development of scalable architecture and integrated hardware that can coherently interconnect many remote quantum nodes by sharing multidimensional entanglement through complex-medium quantum channels. We demonstrate a multichip multidimensional quantum entanglement network based on mass-manufacturable integrated-nanophotonic quantum node chips fabricated on a silicon wafer by means of complementary metal-oxide-semiconductor processes. Using hybrid multiplexing, we show that multiple multidimensional entangled states can be distributed across multiple chips connected by few-mode fibers. We developed a technique that can efficiently retrieve multidimensional entanglement in complex-medium quantum channels, which is important for practical uses. Our work demonstrates the enabling capabilities of realizing large-scale practical chip-based quantum entanglement networks.