Quantum Bayesian inference with Suport vector states for intrusion detection
Quantum Physics
2025-07-02 v1
Abstract
We present a quantum Bayesian inference method for intrusion detection, using explicitly constructed quantum circuits and statevector simulation. Prior and conditional probabilities are encoded via unitary gates, and posterior distributions are extracted through symbolic post-selection. Applied to a scenario with network spikes, system vulnerabilities, and false alarms, the method yields joint, marginal, and conditional probabilities aligned with causal structure. Our results demonstrate the feasibility and interpretability of quantum-native inference for information security applications
Cite
@article{arxiv.2507.00403,
title = {Quantum Bayesian inference with Suport vector states for intrusion detection},
author = {Nayema Mridha and Garrv Sipani and Eva R Gaarder and Shah Haque and Radhika Kuttala and Binay P Akhouri and Mohamad M Al Zein and Eric Howard},
journal= {arXiv preprint arXiv:2507.00403},
year = {2025}
}
Comments
20 pages, 10 figures