Entanglement Activation in Multiphoton Distillation Networks
Yu-Ao Chen, Rui Zhang, Yue-Yang Fei, Zhenhuan Liu, Xingjian Zhang, Xu-Fei Yin, Yingqiu Mao, Li Li, Nai-Le Liu, Xiongfeng Ma, Jian-Wei Pan
Abstract
Abstract In quantum networks, residual states remaining after information processing can be valuable resources. Efficiently recycling these states to extract resources such as genuine multipartite entanglement and Einstein-Podolsky-Rosen pairs is essential for optimizing network performance. Our work demonstrates a tripartite entanglement distillation scheme using an eight-photon quantum platform, showcasing entanglement activation phenomena unique to multipartite systems. We successfully generate a three-photon genuinely entangled state from two bi-separable states through local operations and classical communication, illustrating multipartite entanglement activation. Furthermore, we extend our scheme to generate a three-photon state capable of extracting Einstein-Podolsky-Rosen pairs from two initial states lacking this capability, revealing a new entanglement activation phenomenon. Our findings offer not only practical applications for quantum networks but also a deeper theoretical understanding of multipartite entanglement structures.