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Technische Universität München

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

Publications

  1. 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).
  2. 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
  3. 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.
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