2 citations · 3 across the 7 of their papers we have counts for
5 papers · 1 filter
Modeling Quantum Autoencoder Trainable Kernel for IoT Anomaly Detection
Swathi Chandrasekhar, Shiva Raj Pokhrel, Swati Kumari +1
Escalating cyber threats and the high-dimensional complexity of IoT traffic have outpaced classical anomaly detection methods. While deep learning offers improvements, computationa…
Lane-Frame Quantum Multimodal Driving Forecasts for the Trajectory of Autonomous Vehicles
Navneet Singh, Shiva Raj Pokhrel
Trajectory forecasting for autonomous driving must deliver accurate, calibrated multi-modal futures under tight compute and latency constraints. We propose a compact hybrid quantum…
Modeling Feature Maps for Quantum Machine Learning
Navneet Singh, Shiva Raj Pokhrel
Quantum Machine Learning (QML) offers significant potential for complex tasks like genome sequence classification, but quantum noise on Noisy Intermediate-Scale Quantum (NISQ) devi…
Modeling Quantum Machine Learning for Genomic Data Analysis
Navneet Singh, Shiva Raj Pokhrel
Quantum Machine Learning (QML) continues to evolve, unlocking new opportunities for diverse applications. In this study, we investigate and evaluate the applicability of QML models…
An Independent Implementation of Quantum Machine Learning Algorithms in Qiskit for Genomic Data
Navneet Singh, Shiva Raj Pokhrel
In this paper, we explore the power of Quantum Machine Learning as we extend, implement and evaluate algorithms like Quantum Support Vector Classifier (QSVC), Pegasos-QSVC, Variati…