Scholar
Daniel Kyungdeock Park
Google Scholar ID: k5Uro0MAAAAJ
Yonsei University
Citations & Impact
Citations
1,912
H-index
22
i10-index
30
Publications
20
Co-authors
35
list available
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published numerous papers in journals such as Applied Soft Computing, Advanced Quantum Technologies, Physical Review Letters, etc.; Involved in the 'Scalable Neural Decoders for Practical Real-Time Quantum Error Correction' project which was selected for the NVIDIA Academic Grant Program; Delivered invited talks at several international conferences.
Research Experience
- Leads an interdisciplinary research group at Yonsei University, focusing on the intersection of statistics, physics, computer science, and applied mathematics; Engaged in multiple research projects covering various aspects of combining quantum computing with machine learning.
Background
- Leads the Quantum Data Science & AI (Q-DNA) lab; Research interests include leveraging quantum information theory to address fundamental and practical challenges in data science, computational science, and AI; Developing machine learning techniques that combat noise and imperfections in quantum information processing tasks; Advancing industrial applications of quantum computing through cutting-edge quantum optimization methods.
