Adaptive-Shot Hybrid Quantum Anomaly Detection for Tactile Internet Security: Reliability-Aware Measurement Allocation Under Resource Constraints
Adaptive-shot quantum anomaly detection cuts Tactile Internet measurement cost with under 1% decision disagreement.
The paper introduces Adaptive-Shot Variational Quantum Circuit, a policy that starts Tactile Internet anomaly scoring at 128 shots and escalates through 256, 512, and 1024 only when the score is near a security threshold. On a 4,875-record CESNET-TimeSeries24-derived flow benchmark, the primary policy averaged 129.2, 276.9, and 131.2 shots across holdouts, saving 87.4%, 73.0%, and 87.2% versus a uniform 1024-shot baseline. Disagreement with exact-expectation inference was 0.771%, 0.409%, and 0.635%. A more conservative setting further reduced disagreement while staying under 512 average shots.
- AS-VQC starts at 128 shots and escalates only near the decision threshold.
- On 4,875 CESNET-derived records it saved 73.0% to 87.4% versus 1024 shots.
- Decision disagreement with exact inference was 0.409% to 0.771%.
- A stricter beta-0.99 policy stayed under 512 average shots.
From the original article
1 min read at arxiv.orgTactile Internet (TI) security analytics must balance reliable thresholded decisions with constrained computational and measurement resources. We study this tension for finite-shot hybrid quantum anomaly inference and introduce the Adaptive-Shot Variational Quantum Circuit (AS-VQC) policy.
By Mubassir Serneabat Sudipto · arxiv.org
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