2 citations · 3 across the 4 of their papers we have counts for
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Quantum Knowledge Distillation: State-of-the-art, Applications and Open Problems
Aldana Al-Sulaiti, Kuan-Cheng Chen, Muhammad Bilal Akram Dastagir +2
Knowledge distillation transfers predictions, representations, or other supervisory information between learning models and is increasingly investigated in quantum machine learning…
Quantum-Enhanced Learning Framework for Intelligent and AI-Native 6G Wireless Networks
Muhammad Bilal Akram Dastagir, Rakesh Saini, Omer Tariq +4
The recent convergence of 6G wireless systems and Tiny Machine Learning (TinyML) has driven the need for on-device intelligence in edge networks, where ultra-low latency, stringent…
BARFI-Q: Quantum-Enhanced Block Attention Residual Fusion Framework for Multivariate Time-Series Forecasting in Atom Interferometry
Muhammad Bilal Akram Dastagir, Omer Tariq, Safaa Alqrinawi +3
Atom interferometry generates heterogeneous multivariate temporal streams governed by phase evolution, fringe dynamics, control variables, and auxiliary sensing measurements. Accur…
QSCL-EWIL: Quantum Stochastic Contrast Learning for Enhanced WiFi-Based Indoor Localization
Muhammad Bilal Akram Dastagir, Omer Tariq, Dongsoo Han +3
WiFi-based indoor localization is essential for asset tracking, healthcare monitoring, and smart buildings. However, existing systems face challenges such as data variability, envi…