Deterministic distribution of multipartite entanglement and steering in a quantum network by separable states

• URL: http://arxiv.org/abs/2101.01422v1
• Date: Tue, 5 Jan 2021 09:15:54 GMT
• Title: Deterministic distribution of multipartite entanglement and steering in a quantum network by separable states
• Authors: Meihong Wang, Yu Xiang, Haijun Kang, Dongmei Han, Yang Liu, Qiongyi He, Qihuang Gong, Xiaolong Su, and Kunchi Peng
• Abstract summary: Einstein-Podolsky-Rosen entanglement and steering play important roles in quantum-enhanced communication protocols. We experimentally demonstrate the deterministic distribution of two- and three-mode Gaussian entanglement and steering by transmitting separable states in a network consisting of a quantum server and multiple users.
• Score: 14.388536745297214
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: As two valuable quantum resources, Einstein-Podolsky-Rosen entanglement and steering play important roles in quantum-enhanced communication protocols. Distributing such quantum resources among multiple remote users in a network is a crucial precondition underlying various quantum tasks. We experimentally demonstrate the deterministic distribution of two- and three-mode Gaussian entanglement and steering by transmitting separable states in a network consisting of a quantum server and multiple users. In our experiment, entangled states are not prepared solely by the quantum server, but are created among independent users during the distribution process. More specifically, the quantum server prepares separable squeezed states and applies classical displacements on them before spreading out, and users simply perform local beam-splitter operations and homodyne measurements after they receive separable states. We show that the distributed Gaussian entanglement and steerability are robust against channel loss. Furthermore, one-way Gaussian steering is achieved among users that is useful for further directional or highly asymmetric quantum information processing.

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