2024/08/22 by Mingsheng Tian, Xiaoting Gao, Tian, Mingsheng +9 · 2 citations
Computer Science · Physics and Astronomy · #Advanced Mathematical Theories and Applications #FOS: Physical sciences #Neural Networks and Applications #Quantum Physics (quant-ph) #Sensor Technology and Measurement Systems
paper · pdf · doi:10.48550/arxiv.2408.12554
openalex publication_date 2024/08/22 · openalex created_date 2024/11/01 · openalex updated_date 2026/07/28
Multipartite entanglement is an essential resource for quantum information tasks, but characterizing entanglement structures in continuous variable systems remains challenging, especially in multimode non-Gaussian scenarios. In this work, we introduce an efficient method for detecting multipartite entanglement structures in continuous-variable states. Based on the quantum Fisher information, we propose a systematic approach to identify an optimal encoding operator that can capture the quantum correlations in multimode non-Gaussian states. We demonstrate the effectiveness of our method on over 105 randomly generated multimode-entangled quantum states, achieving a very high success rate in entanglement detection. Additionally, the robustness of our method can be considerably enhanced against losses by expanding the set of accessible operators. This work provides a general framework for characterizing entanglement structures in diverse continuous variable systems, enabling a number of experimentally relevant applications.