Team Member: Korbinian Staudacher

Photo
Email staudacher_at_nm.ifi.lmu.de
Phone +49 89 2180-9162
Fax +49 89 2180-999146
Address Korbinian Staudacher
Ludwig-Maximilians-Universität München
Institut für Informatik
Oettingenstr. 67
D-80538 München
Germany
Room E 012


Research interests

My research focuses mostly on quantum computing, in particular different aspects of quantum circuit compilation. Much of this work is based on ZX-calculus, a diagrammatic language for quantum systems. Other research interests in this area include quantum algorithms and their complexity, quantum simulation and measurement based quantum computing.


Teaching assistance


Bachelor and Master theses

Students with an idea for a Bachelor or Master thesis related to quantum computing are always welcome to contact me. You may also take a look at the open proposals of the MNM-Team.

Student Work

Work in Progress:
Master theses:Bachelor theses:
Work Completed:
  • Ritter, J., Simulating Measurement Based Quantum Computing using Tensor Networks, Diplomarbeit, Ludwig-Maximilians-Universität München, Oktober, 2024.
  • Cimsir, E., Comparing Tensor Network Simulations for Quantum Fourier Transformation, Bachelorarbeit, Ludwig-Maximilians-Universität München, September, 2024.
  • Leidreiter, D. A., Investigating Evolving Ansatz VQE Algorithms for Job Shop Scheduling, Diplomarbeit, Ludwig-Maximilians-Universität München, Juli, 2024.
  • Sajko, W., Exploring the Potential of Filtering Variational Quantum Eigensolvers for Job Scheduling, Diplomarbeit, Ludwig-Maximilians-Universität München, November, 2023.
  • Quanz, M., Efficient Parallel Quantum Circuit Optimization using the ZX Calculus, Diplomarbeit, Ludwig-Maximilians-Universität München, Oktober, 2023.
  • Murauer, J., Analyzing word predictions by quantum natural language processing, Diplomarbeit, Ludwig-Maximilians-Universität München, Juli, 2023.
  • Kassil, S., A lookahead strategy for ZX-based quantum circuit optimization, Bachelorarbeit, Ludwig-Maximilians-Universität München, Dezember, 2022.
  • Weiß, M., Encoding strategies to solve Sudoku with Quantum Computers, Bachelorarbeit, Ludwig-Maximilians-Universität München, August, 2022.

Publications


Last Change: Mon, 11 Dec 2023 09:55:14 +0100 - Viewed on: Sun, 29 Dec 2024 19:36:56 +0100
Copyright © MNM-Team http://www.mnm-team.org - Impressum / Legal Info  - Datenschutz / Privacy