10 papers
Quantum Kernel Estimation for the Discovery of Early Lung Cancer Detection
Hamed Javidi, Alex Zajichek, Hakan Doga +3
Lung cancer screening with low-dose chest computed tomography reduces mortality, but its impact is limited by uptake, adherence, and management challenges. Blood-based cell-free DN…
A Quantum Reservoir for Neurodynamical Forecasting
Annemarie Wolff, Kathleen Hamilton, Kahn Rhrissorrakrai +3
Forecasting neural activity from short recordings remains a fundamental challenge. Reservoir computing may offer an efficient paradigm for temporal prediction, however classical re…
Experimental implementation of a discrete-time quantum walk on biological networks
Viacheslav Dubovitskii, Filippo Utro, Aritra Bose +3
Quantum walks provide a versatile framework for probing the structural and dynamical properties of complex systems ranging from biological networks to synthetic materials. However,…
Data complexity signature predicts quantum projected learning benefit for antibiotic resistance
Kahn Rhrissorrakrai, Filippo Utro, Alex Milinovich +4
This study presents the first large-scale empirical evaluation of quantum machine learning for predicting antibiotic resistance in clinical urine cultures. Antibiotic resistance is…
Quantum Doubly Stochastic Transformers
Jannis Born, Filip Skogh, Kahn Rhrissorrakrai +3
At the core of the Transformer, the softmax normalizes the attention matrix to be right stochastic. Previous research has shown that this often de-stabilizes training and that enfo…
On Quantum Random Walks in Biomolecular Networks
Viacheslav Dubovitskii, Aritra Bose, Filippo Utro +1
Biomolecular networks, such as protein-protein interactions, gene-gene associations, and cell-cell interactions, offer valuable insights into the complex organization of biological…