Summary

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• Hyungseok Kim is presently a graduate student pursuing a master’s degree in Electrical and Electronic Engineering at Yonsei University.
• His academic pursuits are underscored by a keen interest in a diverse range of disciplines, including but not limited to:
   1. Quantum Compilers
   2. Quantum Error Correction
   3. Quantum Programming
   4. Quantum Algorithms
• Currently, his primary focus lies in Quantum Compiler Optimization, reflecting his dedication to cutting-edge research within the field.

Experience

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• Contributed to the development of the frameworks spanning quantum compilation, error correction, optimal control, dynamic shot allocation, and distributed quantum computing: SpiderLS , Plutarch , d’ArQ , DDS , and DARTH.
• Participated in a research project focused on developing a quantum optimal control framework.
• Served as a teaching assistant for the courses Electrical and Electronic Engineering Capstone Design and Embedded System Lab.

• Contributed to the development of the quantum compilation frameworks Racoon and Mantra .
• Participated in a research project focused on developing a quantum circuit simulator.

• Developed a quantum compilation framework which utilizes the qubit reuse technique to improve resource efficiency and fidelity in quantum circuits.
• Wrote a research paper, QR-Map, on the project and presented it at the 2025 International Symposium on Computer Architecture (ISCA).

Education

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• Conducting research on quantum computer architecture and quantum algorithms under the advisement of Prof. Won Woo Ro.
• Participating in the educational tracks of Automotive System IC Fusion Human Resource Research Center (ASRC) and Korea Collaborative & High-tech Initiative for Prospective Semiconductor research (K-CHIPS) .

• First Major: Coursework focused on Quantum Computing, Computer Architecture, and Machine Learning.
• Second Major: Coursework focused on Financial Engineering, Econometrics, and DSGE Modeling.