3 papers
quant-ph2026
Spectral Bias in Variational Quantum Machine Learning
Callum Duffy, Marcin Jastrzebski
In this work, we investigate the phenomenon of spectral bias in quantum machine learning, where, in classical settings, models tend to fit low-frequency components of a target func…
physics.ins-det2025
LArTPC hit-based topology classification with quantum machine learning and symmetry
Callum Duffy, Marcin Jastrzebski, Stefano Vergani +5
We present a new approach to separate track-like and shower-like topologies in liquid argon time projection chamber (LArTPC) experiments for neutrino physics using quantum machine…
quant-ph2024
Quantum Circuit Training with Growth-Based Architectures
Callum Duffy, Smit Chaudhary, Gergana V. Velikova
This study introduces growth-based training strategies that incrementally increase parameterized quantum circuit (PQC) depth during training, mitigating overfitting and managing mo…