57 citations · 95 across the 51 of their papers we have counts for
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Evaluation of Quantum Machine Learning Models for Network Anomaly Detection
Swathi Chandrasekhar, Shiva Raj Pokhrel
The proliferation of Internet-connected devices has intensified the risk of large-scale network intrusions, necessitating more advanced detection methodologies for the post quantum…
Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel
We propose a Quantum Federated Autoencoder for Anomaly Detection, a framework that leverages quantum federated learning for efficient, secure, and distributed processing in IoT net…
Modeling Wavelet Transformed Quantum Support Vector for Network Intrusion Detection
Swati Kumari, Shiva Raj Pokhrel, Swathi Chandrasekhar +5
Network traffic anomaly detection is a critical cybersecurity challenge requiring robust solutions for complex Internet of Things (IoT) environments. We present a novel hybrid quan…
Adapting Quantum Machine Learning for Energy Dissociation of Bonds
Swathi Chandrasekhar, Shiva Raj Pokhrel, Navneet Singh
Accurate prediction of bond dissociation energies (BDEs) underpins mechanistic insight and the rational design of molecules and materials. We present a systematic, reproducible ben…
Towards A Hybrid Quantum Differential Privacy
Baobao Song, Shiva Raj Pokhrel, Athanasios V. Vasilakos +2
Quantum computing offers unparalleled processing power but raises significant data privacy challenges. Quantum Differential Privacy (QDP) leverages inherent quantum noise to safegu…
Quantum Federated Learning: Analysis, Design and Implementation Challenges
Dev Gurung, Shiva Raj Pokhrel, Gang Li
Quantum Federated Learning (QFL) has gained significant attention due to quantum computing and machine learning advancements. As the demand for QFL continues to surge, there is a p…