5 citations · 5 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Unsupervised Beyond-Standard-Model Event Discovery at the LHC with a Novel Quantum Autoencoder
Callum Duffy, Mohammad Hassanshah, Marcin Jastrzebski +1
This study explores the potential of unsupervised anomaly detection for identifying physics beyond the Standard Model that may appear at proton collisions at the Large Hadron Colli…
Entanglement Entropy of Disjoint Spacetime Intervals in Causal Set Theory
Callum F. Duffy, Joshua Y. L. Jones, Yasaman K. Yazdi
A more complete understanding of entanglement entropy in a covariant manner could inform the search for quantum gravity. We build on work in this direction by extending previous re…