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Sandeepa D. Alagiyawanna

University Of Moratuwa

3 papers hereh-index 13 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • quant-ph1
affiliations
  • University Of Moratuwa
ORCID 0009-0002-7479-1055

identity via Semantic Scholar / OpenAlex

most citedEnhancing Small Dataset Classification Using Projected Quantum Kernels with Convolutional Neural Networks

1 citations · 1 across the 3 of their papers we have counts for

collaborators

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★ 1 cited

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…

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