8 citations · 9 across the 8 of their papers we have counts for
3 papers · 1 filter
TrackHHL: A Quantum Computing Algorithm for Track Reconstruction at the LHCb
Xenofon Chiotopoulos, Miriam Lucio Martinez, Davide Nicotra +4
In the future high-luminosity LHC era, high-energy physics experiments face unprecedented computational challenges for event reconstruction. Employing the LHCb vertex locator as a…
Variational Quantum Algorithms for Particle Track Reconstruction
Vincenzo Lipardi, Xenofon Chiotopoulos, Jacco A. de Vries +4
Quantum Computing is a rapidly developing field with the potential to tackle the increasing computational challenges faced in high-energy physics. In this work, we explore the pote…
Learning Encoding-Decoding Direction Pairs to Unveil Concepts of Influence in Deep Vision Networks
Alexandros Doumanoglou, Kurt Driessens, Dimitrios Zarpalas
Empirical evidence shows that deep vision networks often represent concepts as directions in latent space with concept information written along directional components in the vecto…