From the 1 of 13 linked papers with an AI index.
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quant-ph2026
When cheap gradients fail: the measurement cost of attacking quantum classifiers
Bacui Li, Chandra Thapa, Tansu Alpcan +1
The paper shows that shot noise from finite quantum measurements creates a natural defense against gradient-based adversarial attacks on variational quantum classifiers, requiring…
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…