Methodology for model-based uncertainty quantification of the vibrational properties of machining robots. - Maximilian Busch; Florian Schnoes; Amr Elsharkawy; Michael F. Zaeh (Robotics Comput. Integr. Manuf., 2022)

Challenges in HPCQC Integration. - Amr Elsharkawy; Xiao-Ting Michelle To; Philipp Seitz; Yanbin Chen; Yannick Stade; Manuel Geiger; Qunsheng Huang; Xiaorang Guo; Muhammad Arslan Ansari; Martin Ruefenacht; Laura Brandon Schulz; Sven Karlsson; et al. (QCE, 2023)

Toward a Unified Hybrid HPCQC Toolchain. - Philipp Seitz; Amr Elsharkawy; Xiao-Ting Michelle To; Martin Schulz 001 (QCE, 2023)

Integration of Quantum Accelerators with High Performance Computing - A Review of Quantum Programming Tools. - Amr Elsharkawy; Xiao-Ting Michelle To; Philipp Seitz; Yanbin Chen; Yannick Stade; Manuel Geiger; Qunsheng Huang; Xiaorang Guo; Muhammad Arslan Ansari; Christian B. Mendl; Dieter Kranzlmüller; Martin Schulz 001 (CoRR, 2023)

Integration of Quantum Accelerators into HPC: Toward a Unified Quantum Platform. - Amr Elsharkawy; Xiaorang Guo; Martin Schulz 001 (QCE, 2024)

Design of an FPGA-Based Neutral Atom Rearrangement Accelerator for Quantum Computing. - Xiaorang Guo; Jonas Winklmann; Dirk Stober; Amr Elsharkawy; Martin Schulz 001 (DATE, 2025)

Bridge the Gap Between HPC Systems and Various Quantum Platforms: A Unified Quantum Platform. - Amr Elsharkawy; Xiaorang Guo; Martin Schulz 001 (Software Engineering Companion, 2025)