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

arXiv: https://arxiv.org/abs/2607.16276 · HTML: https://mlsanity.com/paper/2607.16276/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 19 of its 84 references that are in the map.
- First posted on arXiv 8 Jul 2026.

## Builds on (most cited first, 19 of 19)

- [The power of quantum neural networks](https://mlsanity.com/paper/2011.00027/) (2020)
- [Barren Plateaus in Variational Quantum Computing](https://mlsanity.com/paper/2405.00781/) (2024)
- [Quantum Natural Gradient](https://mlsanity.com/paper/1909.02108/) (2019)
- [Entanglement Induced Barren Plateaus](https://mlsanity.com/paper/2010.15968/) (2020)
- [Applying Quantum Autoencoders for Time Series Anomaly Detection](https://mlsanity.com/paper/2410.04154/) (2024)
- [An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks](https://mlsanity.com/paper/2108.09199/) (2021)
- [Shortcuts to quantum network routing](https://mlsanity.com/paper/1610.05238/) (2016)
- [A Content-Based Deep Intrusion Detection System](https://mlsanity.com/paper/2001.05009/) (2020)
- [Policies for elementary links in a quantum network](https://mlsanity.com/paper/2007.03193/) (2020)
- [Identifying Relevant Features of CSE-CIC-IDS2018 Dataset for the Development of an Intrusion Detection System](https://mlsanity.com/paper/2307.11544/) (2023)
- [State of practice: evaluating GPU performance of state vector and tensor network methods](https://mlsanity.com/paper/2401.06188/) (2024)
- [Entanglement Routing in Quantum Networks: A Comprehensive Survey](https://mlsanity.com/paper/2408.01234/) (2024)
- [Harnessing CUDA-Q's MPS for Tensor Network Simulations of Large-Scale Quantum Circuits](https://mlsanity.com/paper/2501.15939/) (2025)
- [Synchronization Control-Plane Protocol for Quantum Link Layer](https://mlsanity.com/paper/2409.07049/) (2024)
- [Efficient Routing on Quantum Networks using Adaptive Clustering](https://mlsanity.com/paper/2410.23007/) (2024)
- [SeQUeNCe GUI: An Extensible User Interface for Discrete Event Quantum Network Simulations](https://mlsanity.com/paper/2501.09100/) (2025)
- [A Short Scalability Study on the SeQUeNCe Parallel Quantum Network Simulator](https://mlsanity.com/paper/2503.09776/) (2025)
- [Quantum Autoencoders for Anomaly Detection in Cybersecurity](https://mlsanity.com/paper/2510.21837/) (2025)
- [Spectral Geometry and Bosonic-Bloch Probes: Explorations in Quantum Learning](https://mlsanity.com/paper/2607.00063/) (2026)

## Abstract (arXiv)

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 control plane is degraded by cyber anomalies or denial-of-service traffic. We develop a CUDA-Q/SeQUeNCe co-simulation workflow for studying adaptive entanglement purification in heterogeneous linear repeater chains. CUDA-Q noisy quantum kernels are used to estimate primitive entanglement purification and swapping behavior, while SeQUeNCe provides an event-layer model for stochastic link generation, waiting-time-dependent memory decay, purification failure, and end-to-end swapping. Under stationary conditions, we compare no purification, local threshold purification, mean-field predictive purification, fixed purification, and a resource-penalized risk-aware predictive policy. In an 8-node chain, the resource-penalized risk-aware controller increases above-target delivery probability relative to fixed purification while reducing latency and purification overhead. We then couple the quantum-network controller to anomaly scores derived from the CSE-CIC-IDS2018 benign-to-SSDP intrusion-detection trace. During the attack period, the attack-unaware controller maintains high raw delivery, but its above-target entanglement delivery falls to 0.098+/-0.007; the IDS-aware resource-adaptive controller switches to more purification-heavy masks and increases above-target delivery to 0.344+/-0.011, closely matching the oracle-aware value of approximately 0.335. These results demonstrate that cyber-state awareness can improve useful quantum-network outcomes by trading raw throughput for fidelity-qualified entanglement delivery.