Team Member: Korbinian Staudacher

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:
"Investigating Evolving Ansatz VQE Algorithms for Job Shop Scheduling" Daniel Leidreiter

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