M.Sc. Muhammad Arslan Ansari

Designation:

PhD candidate

Postal address:

Technische Universität München, Informatik 10
Lehrstuhl für Rechnerarchitektur & Parallele Systeme (Prof. Schulz),
Boltzmannstr. 3 85748
85748 Garching bei München

Contact:

Room: 01.04.033, MI building
Email: arslan.ansari@tum.de
Tel.: +49 17636674238

Research Interests

Hybrid Quantum Classical Computing (HQCC) models
HQCC compilation toolchain
HQCC Runtime Systems

Teaching

SS2024	Seminar on Integration of Quantum Computing Accelerators with HPC Systems (IN2107)
SS2023	Seminar on Integration of Quantum Computing Accelerators with HPC Systems (IN2107)

Masters Thesis

1D-3D Partitioned FSI Simulations of Elastic Tubes. Technical University of Munich, Apr. 2022.

Publications

Elsharkawy, A., To, X.T., Seitz, P., Chen, Y., Stade, Y., Geiger, M., Huang, Q., Guo, X., Ansari, M., Ruefenacht, M., Schulz, L., Karlsson, S., Mendl, C., Kranzlmüller, D., & Schulz, M. (2023). Challenges in HPCQC Integration. In 2023 IEEE International Conference on Quantum Computing and Engineering (QCE) (pp. 405-406).
Elsharkawy, A., To, X.T., Seitz, P., Chen, Y., Stade, Y., Geiger, M., Huang, Q., Guo, X., Ansari, M., Mendl, C., & et al.. (2023). Integration of quantum accelerators with high performance computing – a review of Quantum Programming tools. Submitted to ACM Transactions on Quantum Computing - under review. Preprint: https://arxiv.org/abs/2309.06167
Muhammad Arslan Sadiq, Husain, D.N., Fawad Shaukat, Ashraf Yahya, Zeeshan Ahmad Arfeen, Osama Mehboob and Huzaifa Altaf 2022. Prominence of Filtering Techniques for Harmonics Mitigation in Advanced Power Electronics Systems. International Journal of Innovations in Science & Technology. 4, 2 (Jun. 2022), 512–525.