Revolutionizing Learning Outcomes Through Quantum Enhanced Neural Networks and Analytics
Srinivasan Rajavelu, Mohammad Ismail, Sivakumar Perumal, K. Baskar, Sangeetha Subramaniam · 2025
With the continuously growing incorporation of digital learning environments as part of the academic learning process, incorporation of quantum computing holds the potential to heighten the effectiveness and precision of the models applied to predictive analytics in higher learning institutions. By using the advantage of better computing generality of quantum algorithms, the study seeks to develop individualized approaches to learning, increasing the engagement of students and increasing the achievement of learning goals. This research also explores the use of advanced analytics in analysing learning pattern and modifying the approach in real-time to make the educational system more interactive.