Quantum Bayesian inference with Suport vector states for intrusion detection

• URL: http://arxiv.org/abs/2507.00403v1
• Date: Tue, 01 Jul 2025 03:41:04 GMT
• Title: Quantum Bayesian inference with Suport vector states for intrusion detection
• Authors: Nayema Mridha, Garrv Sipani, Eva R Gaarder, Shah Haque, Radhika Kuttala, Binay P Akhouri, Mohamad M Al Zein, Eric Howard,
• Abstract summary: We present a quantum Bayesian inference method for intrusion detection.<n>The method yields joint, marginal, and conditional probabilities aligned with causal structure.<n>Our results demonstrate the feasibility and interpretability of quantum-native inference for information security applications.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• 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

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