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Researchers have successfully executed a shallow QAOA implementation on IBM quantum hardware to partition honeypot traffic graphs containing up to 110 nodes, establishing a new scalability threshold for cybersecurity applications. By benchmarking performance across multiple backends, the study highlights critical architectural dependencies and defines essential metrics—such as MaxCut cost and routing overhead—for evaluating quantum feasibility in real-world DoS mitigation. While current instances remain solvable by classical heuristics, this work provides a reproducible framework for assessing the practical viability of quantum advantage in high-volume traffic analysis.
Researchers Execute Quantum Algorithm on 110-Node Network Traffic Benchmark
Traffic partitioning workloads, represented as a weighted MaxCut problem, have now been executed on IBM quantum hardware with graphs containing up to 110 event nodes. This demonstrates a shallow QAOA implementation’s ability to handle real-world cybersecurity tasks at a scale previously unattainable on quantum processors. Comparisons across ibm_rensselaer, ibm_miami, and ibm_boston reveal how backend architecture and routing impact performance metrics, establishing a new benchmark for hardware evaluation.
Cameron V. Cogburn and colleagues have developed a pipeline for partitioning honeypot traffic using the Quantum Approximate Optimisation Algorithm (QAOA) on IBM quantum processors with over 100 qubits. The pipeline offers a framework for benchmarking hardware feasibility and architectural considerations for quantum optimisation in cybersecurity, highlighting the key role of reporting MaxCut cost, security quality, routing overhead, and runtime as distinct metrics. Current benchmark graphs are solvable by classical heuristics, but the study confirms that shallow QAOA implementations can handle real traffic partitioning workloads at a practical scale, enabling future investigations into quantum advantage in this vital area. Real traffic partitioning workloads have now been executed on IBM quantum hardware,…
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