activity
20202022
most citedPerformance of Particle Tracking Using a Quantum Graph Neural Network

8 citations · 8 across the 1 of their papers we have counts for

collaborators

5 papers

hep-ex2022

Track reconstruction at the LUXE experiment using quantum algorithms

Arianna Crippa, Lena Funcke, Tobias Hartung +8

LUXE (Laser Und XFEL Experiment) is a proposed experiment at DESY which will study Quantum Electrodynamics (QED) in the strong-field regime, where QED becomes non-perturbative. Mea…

quant-ph2022

New Directions in Quantum Music: concepts for a quantum keyboard and the sound of the Ising model

Giuseppe Clemente, Arianna Crippa, Karl Jansen +1

We explore ideas for generating sounds and eventually music by using quantum devices in the NISQ era using quantum circuits. In particular, we first consider a concept for a "qeybo…

quant-ph20218 cited

Performance of Particle Tracking Using a Quantum Graph Neural Network

Cenk Tüysüz, Kristiane Novotny, Carla Rieger +7

The Large Hadron Collider (LHC) at the European Organisation for Nuclear Research (CERN) will be upgraded to further increase the instantaneous rate of particle collisions (luminos…

quant-ph2020

A Quantum Graph Neural Network Approach to Particle Track Reconstruction

Cenk Tüysüz, Federico Carminati, Bilge Demirköz +6

Unprecedented increase of complexity and scale of data is expected in computation necessary for the tracking detectors of the High Luminosity Large Hadron Collider (HL-LHC) experim…

quant-ph2020

Particle Track Reconstruction with Quantum Algorithms

Cenk Tüysüz, Federico Carminati, Bilge Demirköz +6

Accurate determination of particle track reconstruction parameters will be a major challenge for the High Luminosity Large Hadron Collider (HL-LHC) experiments. The expected increa…