English(EN) Intelligence-Guided Adaptive Purification for DDoS-Resilient Quantum Networks: A CUDA-Q based Study

量子网络通过自适应控制获得DDoS弹性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-21 04:00

研究人员开发了一种新颖的方法，利用CUDA-Q和SeQUeNCe来增强量子网络对拒绝服务（DDoS）攻击的弹性。该方法采用自适应控制策略，智能地平衡纠缠生成、保真度、净化开销和延迟。通过整合来自入侵检测系统的网络状态感知，自适应控制器在攻击期间显著提高了高保真度纠缠的交付，优于不感知攻击的控制器。 AI

影响这项研究展示了AI驱动的自适应控制如何提高量子通信网络在网络威胁下的鲁棒性和性能。

排序理由这是一篇详细介绍量子网络新颖模拟工作流程和自适应控制策略的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

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arXiv cs.AI TIER_1 English(EN) · Santanu Ganguly · 2026-07-21 04:00

面向DDoS弹性量子网络的智能引导自适应净化：一项基于CUDA-Q的研究

arXiv:2607.16276v1 Announce Type: cross Abstract: Quantum-repeater networks require adaptive control policies that balance entanglement generation rate, end-to-end fidelity, purification overhead, and memory-induced latency. This tradeoff becomes more complex when the classical c…

本文如何被排名

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面向DDoS弹性量子网络的智能引导自适应净化：一项基于CUDA-Q的研究

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