43 citations · 103 across the 26 of their papers we have counts for
7 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…
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…
Generalized Proof-Number Monte-Carlo Tree Search
Jakub Kowalski, Dennis J. N. J. Soemers, Szymon Kosakowski +1
This paper presents Generalized Proof-Number Monte-Carlo Tree Search: a generalization of recently proposed combinations of Proof-Number Search (PNS) with Monte-Carlo Tree Search (…
Towards Explaining Monte-Carlo Tree Search by Using Its Enhancements
Jakub Kowalski, Mark H. M. Winands, Maksymilian Wiśniewski +2
Typically, research on Explainable Artificial Intelligence (XAI) focuses on black-box models within the context of a general policy in a known, specific domain. This paper advocate…