arXiv AI June 12, 2026 By Azadeh Alavi, Hamidreza Khalili, Stanley H. Chan, Fatemeh Kouchmeshki, Muhammad Usman, Ross Vlahos

Geometric and Quantum Kernel Methods for Predicting Skeletal Muscle Outcomes in chronic obstructive pulmonary disease

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arXiv:2601. 00921v3 Announce Type: replace-cross Abstract: Chronic obstructive pulmonary disease (COPD) affects hundreds of millions of people worldwide, and skeletal-muscle dysfunction is clinically important.

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Quantum Kernel Estimation for the Discovery of Early Lung Cancer Detection

arXiv:2608. 19304v1 Announce Type: cross Abstract: Lung cancer screening with low-dose chest computed tomography reduces mortality, but its impact is limited by uptake, adherence, and management challenges.

By Hamed Javidi, Alex Zajichek, Hakan Doga, Laxmi Parida, Filippo Utro, Peter J. Mazzone

arXiv Machine Learning

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Classical and quantum kernel fusion for two-sample testing

The paper introduces MMD-FUSE, a two-sample test that remains effective on small datasets by fusing classical and quantum kernels. By combining the inductive biases of classical kernels with the expressive power of quantum kernels, the hybrid approach achieves higher test power, especially for small, high‑dimensional data. Experiments on synthetic and real clinical datasets confirm that the method consistently outperforms purely classical counterparts and adapts robustly to varied data characteristics.

By Yu Terada, Yugo Ogio, Ken Arai, Hiroyuki Tezuka, Yu Tanaka

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arXiv Machine Learning

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Comparative Study of Quantum and Classical Machine Learning Models in Binary Classification

arXiv:2609.23476v1 Announce Type: cross Abstract: A potential path forward is Quantum Machine Learning (QML), which aims to leverage quantum computing in conjunction with classical machine learning t...

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arXiv Machine Learning

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Is data-efficient learning feasible with quantum models?

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arXiv Machine Learning

Jul 14

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning

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By Mariano Caruso, Daniel Ruiz, Alejandro Giraldo, Guido Bellomo

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arXiv Machine Learning

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Benign Overfitting with Quantum Kernels

arXiv:2503. 17020v2 Announce Type: replace-cross Abstract: Kernel methods compare inputs through feature maps.

By Joachim Tomasi, Sandrine Anthoine, Hachem Kadri

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