The Quantum Angle Generator (QAG) is a new quantum machine learning model designed to produce precise images on current Noise Intermediate Scale (NISQ) Quantum devices. The QAG model uses variational quantum circuits as its core, and multiple circuit architectures are evaluated.
This study explores the QAG model's noise robustness through an extensive quantum noise study. The results indicate...
An overview of my ongoing research projects with CQTA Zeuthen and a brief overview of where QC could be used in SC in the future.
I would like to report on activities of the IT-RIC group in supporting DESY scientific domains. This includes but is not limited to our work on:
- using Artificial Intelligence for advancing imaging in scientific applications;
- providing an open science platform including a catalogue for open data at DESY;
- providing a Helmholtz-wide Scientific IT Infrastructure, in collaboration...
We investigate the use of quantum algorithms to reconstruct charged particle trajectories from 4D tracker measurements.
The tracking system of the CMS experiment is the world’s largest silicon tracker with its 1856 and 15148 silicon pixel and strip modules, respectively. To accurately reconstruct trajectories of charged particles the position, rotation and curvature of each module must be corrected such that the alignment resolution is smaller than, or comparable to, the hit resolution. This procedure is known...
