43 citations · 103 across the 26 of their papers we have counts for
5 papers · 2 filters
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…
Nonstabilizerness Estimation using Graph Neural Networks
Vincenzo Lipardi, Domenica Dibenedetto, Georgios Stamoulis +2
This article proposes a Graph Neural Network (GNN) approach to estimate nonstabilizerness in quantum circuits, measured by the stabilizer Rényi entropy (SRE). Nonstabilizerness is…
A Study on Stabilizer Rényi Entropy Estimation using Machine Learning
Vincenzo Lipardi, Domenica Dibenedetto, Georgios Stamoulis +1
Nonstabilizerness is a fundamental resource for quantum advantage, as it quantifies the extent to which a quantum state diverges from those states that can be efficiently simulated…
Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search
Vincenzo Lipardi, Domenica Dibenedetto, Georgios Stamoulis +1
The performance of Variational Quantum Algorithms (VQAs) strongly depends on the choice of the parameterized quantum circuit to optimize. One of the biggest challenges in VQAs is d…