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Quantum Networks Gain DDoS Resilience with Adaptive Control

Researchers have developed a novel approach using CUDA-Q and SeQUeNCe to enhance the resilience of quantum networks against denial-of-service (DDoS) attacks. This method employs an adaptive control policy that intelligently balances entanglement generation, fidelity, purification overhead, and latency. By integrating cyber-state awareness from intrusion detection systems, the adaptive controller significantly improves the delivery of high-fidelity entanglement during attack periods, outperforming attack-unaware controllers. AI

IMPACT This research demonstrates how AI-driven adaptive control can improve the robustness and performance of quantum communication networks against cyber threats.

RANK_REASON This is a research paper detailing a novel simulation workflow and adaptive control policy for quantum networks. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

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Quantum Networks Gain DDoS Resilience with Adaptive Control

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This is a research paper detailing a novel simulation workflow and adaptive control policy for quantum networks. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Santanu Ganguly ·

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

    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…