Description
Quantum computing algorithms holds the potential to solve combinatorial problems more efficiently than classical techniques, thus saving resources and time.The summer student will learn about the basics of track reconstruction. Insights about state of the art track reconstruction techniques, including a brief overview of commonly used frameworks are provided. The student will learn to use real gate-based quantum computers using IBM’s Qiskit toolkit and how to apply quantum computing algorithms to solve real-world problems (e.g., tracking for the LUXE experiment). The student will use simulated data from GEANT4 to reconstruct charged particle tracks and will run benchmarks on real IBM devices for data subsets.
Special Qualifications:
Basic-to-intermediate knowledge of python would be desired
| Field | B2: Data processing (software-oriented) |
|---|---|
| DESY Place | Hamburg |
| DESY Division | FH |
| DESY Group | ATLAS |
