Subgroup discovery is encoded as a QUBO and solved via QAOA on NISQ hardware to find interpretable feature groups that distinguish attack traffic, with results competitive to beam search and better at some multi-feature interactions.
Perspective on the current state-of-the-art of quantum computing for drug discovery applications
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Distributed toric and hyperbolic Floquet codes maintain logical error suppression when entire nodes fail at low rates, with the toric code outperforming a monolithic device below 0.05% physical error rate for node failure probability p/100.
citing papers explorer
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Formulating Subgroup Discovery as a Quantum Optimization Problem for Network Security
Subgroup discovery is encoded as a QUBO and solved via QAOA on NISQ hardware to find interpretable feature groups that distinguish attack traffic, with results competitive to beam search and better at some multi-feature interactions.
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Tolerating Device Failure in Distributed Quantum Computing
Distributed toric and hyperbolic Floquet codes maintain logical error suppression when entire nodes fail at low rates, with the toric code outperforming a monolithic device below 0.05% physical error rate for node failure probability p/100.