3 papers
quant-ph2026
Noise Models Impacts and Mitigation Strategies in Photonic Quantum Machine Learning
A. M. A. S. D. Alagiyawanna, Asoka Karunananda
Photonic Quantum Machine Learning (PQML) is an emerging method to implement scalable, energy-efficient quantum information processing by combining photonic quantum computing techno…
cs.LG2026
A Novel Approach to Explainable AI with Quantized Active Ingredients in Decision Making
A. M. A. S. D. Alagiyawanna, Asoka Karunananda, Thushari Silva +1
Artificial Intelligence (AI) systems have shown good success at classifying. However, the lack of explainability is a true and significant challenge, especially in high-stakes doma…
cs.LG2026
Enhancing Small Dataset Classification Using Projected Quantum Kernels with Convolutional Neural Networks
A. M. A. S. D. Alagiyawanna, Asoka Karunananda, A. Mahasinghe +1
Convolutional Neural Networks (CNNs) have shown promising results in efficiency and accuracy in image classification. However, their efficacy often relies on large, labeled dataset…