3 papers
cs.LG2026
Parameter-efficient Quantum Multi-task Learning
Hevish Cowlessur, Chandra Thapa, Tansu Alpcan +1
Multi-task learning (MTL) improves generalization and data efficiency by jointly learning related tasks through shared representations. In the widely used hard-parameter-sharing se…
quant-ph2025
A Hybrid Quantum Neural Network for Split Learning
Hevish Cowlessur, Chandra Thapa, Tansu Alpcan +1
Quantum Machine Learning (QML) is an emerging field of research with potential applications to distributed collaborative learning, such as Split Learning (SL). SL allows resource-c…
quant-ph2025
A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning
Hevish Cowlessur, Tansu Alpcan, Chandra Thapa +2
Efficiently embedding high-dimensional datasets onto noisy and low-qubit quantum systems is a significant barrier to practical Quantum Machine Learning (QML). Approaches such as qu…