Amr Elsharkawy, M.Sc.

Research Interests

• HPCQC integration

Projects

• Munich Quantum Valley (MQV)

Teaching

• SS2023: Seminar on Integration of Quantum Computing Accelerators with HPC Systems
• SS2024: Seminar on Integration of Quantum Computing Accelerators with HPC Systems
• SS2025: Seminar on Integration of Quantum Computing Accelerators with HPC Systems

Publications

1. Amr Elsharkawy, Xiaorang Guo, Martin Schulz, "Bridge the Gap Between HPC Systems and Various Quantum Platforms," 2025 Software Engineering 2025 – Companion Proceedings, doi: 10.18420/se2025-ws-16.
2. Xiaorang Guo, Jonas Winklmann, Dirk Stober, Amr Elsharkawy, Martin Schulz, “Design of an FPGA-Based Neutral Atom Rearrangement Accelerator for Quantum Computing,” 2025 Design, Automation and Test in Europe Conference (DATE). Preprint: https://arxiv.org/abs/2411.12401.
3. Amr Elsharkawy, Xiaorang Guo, Martin Schulz, "Integration of Quantum Accelerators into HPC: Toward a Unified Quantum Platform," 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). Preprint: https://arxiv.org/abs/2407.18527.
4. Amr Elsharkawy, et al., "Challenges in HPCQC Integration," 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), Bellevue, WA, USA, 2023, pp. 405-406, doi: 10.1109/QCE57702.2023.10304.
5. Philipp Seitz, Amr Elsharkawy, et al., "Toward a Unified Hybrid HPCQC Toolchain," 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), Bellevue, WA, USA, 2023, pp. 96-102, doi: 10.1109/QCE57702.2023.10191.
6. Amr Elsharkawy, et al., “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.
7. Maxmilian Busch, Florian Schnoes, Amr Elsharkawy, et al., "Methodology for model-based uncertainty quantification of the vibrational properties of machining robots." Robotics and Computer-Integrated Manufacturing 73 (2022): 102243, doi: 10.1016/j.rcim.2021.102243.
8. Khaled Mohamed, Hassan Elgamal, and Amr Elsharkawy. "Dynamic analysis with optimum trajectory planning of multiple degree-of-freedom surgical micro-robot." Alexandria engineering journal 57, no. 4 (2018): 4103-4112, doi: 10.1016/j.aej.2018.10.011.

Education

• M.Sc. in Computational Science and Engineering - Technical University of Munich, Germany. (Thesis)
• M.Sc. in Mechanical Engineering - Alexandria University, Egypt.
• B.Sc. in Mechanical Engineering - Alexandria University, Egypt.