3 papers
quant-ph2025
Negativity Percolation in Continuous-Variable Quantum Networks
Yaqi Zhao, Kan He, Yongtao Zhang +4
Quantum networks (QNs) have been predominantly driven by discrete-variable (DV) architectures. Yet, optical platforms naturally generate Gaussian states--the common states of conti…
cs.AI2024
Spatio-Temporal Graphical Counterfactuals: An Overview
Mingyu Kang, Duxin Chen, Ziyuan Pu +2
Counterfactual thinking is a crucial yet challenging topic for artificial intelligence to learn knowledge from data and ultimately improve performance for new scenarios. Many resea…
quant-ph2023
Percolation Theories for Quantum Networks
Xiangyi Meng, Xinqi Hu, Yu Tian +4
Quantum networks have experienced rapid advancements in both theoretical and experimental domains over the last decade, making it increasingly important to understand their large-s…