论文标题
示意与大规模量子中继器网络模拟的图解技术具有消散的量子记忆
Diagrammatic technique for simulation of large-scale quantum repeater networks with dissipating quantum memories
论文作者
论文摘要
我们介绍了最近在[V. V. Kuzmin等人，NPJ量子信息5，115（2019）]，用于大规模量子重复网络的半分析描述。该技术考虑了所有必不可少的实验缺陷，包括网络量子记忆的耗散动态和经典通信延迟。用半分析方法获得的结果与确切的蒙特卡洛模拟匹配，而所需的计算资源仅与网络大小线性尺度。提出的方法为未来量子网络的开发和有效优化开辟了新的可能性。
We present a detailed description of the diagrammatic technique, recently devised in [V. V. Kuzmin et.al., npj Quantum Information 5, 115 (2019)], for semi-analytical description of large-scale quantum-repeater networks. The technique takes into account all essential experimental imperfections, including dissipative Liouville dynamics of the network quantum memories and the classical communication delays. The results obtained with the semi-analytic method match the exact Monte Carlo simulations while the required computational resources scale only linearly with the network size. The presented approach opens new possibilities for the development and efficient optimization of future quantum networks.
