cv
Research Interests
| Neutral-atom quantum computing | |
| Analog quantum optimization (MIS/QUBO) | |
| Quantum benchmarking and performance analysis |
| Quantum information theory | |
| Quantum resource theories (thermodynamics/asymmetry) |
Education
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2023.03–present Daejeon, Korea
B.S. in Physics
Korea Advanced Institute of Science and Technology (KAIST)
Physics
- Scientific Computing for Quantum Information Science (Graduate)
- Quantum Information I/II
- Quantum Mechanics I/II
- Thesis: Combinatorial Optimization on Neutral Atom Arrays: Problem Encoding, Noise Mitigation, and Approximate-Solution Performance Evaluation (Advisor: Prof. Jaewook Ahn)
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2024.08–2025.01 Singapore
Research Experience
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2025.09–present Daejeon, Korea
Research Intern
Quantum Computing Lab (Prof. Jaewook Ahn), KAIST
- Developed an approximation-ratio-resolved shots-to-solution (STS) framework for hybrid neutral-atom optimization, modeling postprocessed outputs via a degeneracy-weighted Boltzmann shell distribution parameterized by a single quality parameter β̃.
- Introduced an excitation-matched random baseline β̃_rand(p_exc) to isolate genuine quantum structural exploitation from excitation-density effects, correcting a systematic confound in existing Rydberg benchmarking literature.
- Ran QuEra Aquila experiments (King's-lattice MIS, N ∈ [30, 125], 500 shots/instance) and measured Δβ̃_ann = 0.23–0.40 across all system sizes and hardness bins, confirming that adiabatic annealing genuinely exploits low-energy solution structure.
- Characterized the two-regime STS scaling: exponential in N for near-exact targets (r → 1), O(1) for relaxed targets, establishing the approximation-ratio dependence of the quantum advantage.
- Built a deterministic error-mitigation (DEM) pipeline for Rydberg MIS using a binomial Hamming-shell noise model and entropy-controlled classical baselines (2^{N H₂(p)} scaling); analyzed Pasqal Fresnel datasets and extracted instance-dependent success scaling.
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2025.01–2025.08 Daejeon, Korea
Research Intern
Condensed Matter Theory Group (Prof. Gil Young Cho), KAIST
- Studied the behavior of the chiral central charge beyond strict entanglement-scaling laws, focusing on the structure and interpretation of subleading corrections.
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2024.08–2025.01 Singapore
Visiting Research Intern
The inQlings (Prof. Nelly Ng), NTU Singapore
- Investigated the gap between Thermal Operations (TO) and Gibbs-Preserving Covariant (GPC) channels in quantum resource theory.
- Produced an internal manuscript draft on catalysis-based approaches relating TO and GPC under robustness assumptions; conjectured that fully non-degenerate spectra make GPC equivalent to TO.
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2023.06–2023.09 Daejeon, Korea
Research Intern
Quantum Computing Lab (Prof. Jaewook Ahn), KAIST
- Worked on Rydberg-atom graph constructions for QUBO problems on neutral-atom arrays; optimized atom arrangements and graph embeddings supporting the Advanced Quantum Technologies (2024) publication.
Training & Workshops
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2025.12–2025.12 Seoul, Korea
Selected Participant
KIAS–SNU Physics Winter Camp 2025
- Intensive program on New States of Quantum Matter and AI-driven physics.
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2025.06–2025.08 Lyngby, Denmark
Summer Student
Technical University of Denmark (DTU)
- Completed intensive graduate-level coursework on Scientific Methods for Quantum Information Science (5 ECTS).
- Project: implemented classical shadow tomography to detect the 1D transverse-field Ising phase transition, benchmarking shadow-estimated Rényi-2 entropy against exact diagonalization at g/J = 1. View code
Honors & Awards
- 2025.08
Second Place Presentation Award
2025 CAMPUS Asia Joint Research Presentation, KAIST
Oral presentation among representatives from KAIST, NTU, and Science Tokyo: Exploring the Gap between Thermal Operations and Gibbs-Preserving Covariant Channels.
Publications & Preprints
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2026.08 Shots-to-Approximate-Solution Scaling in Neutral-Atom Quantum Optimization
arXiv preprint
J. Jung and J. Ahn. arXiv:2608.12858
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2026.02 Quantum-Enhanced Deterministic Inference of k-Independent Set Instances on Neutral Atom Arrays
arXiv preprint
J. Park, J. Jung, and J. Ahn. arXiv:2602.05432
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2024 Rydberg-atom graphs for quadratic unconstrained binary optimization problems
Advanced Quantum Technologies, 2300398
A. Byun, J. Jung, K. Kim, M. Kim, S. Jeong, H. Jeong, and J. Ahn.
Technical Skills
| Programming | |
| Python | |
| Mathematica |
| Platforms | |
| QuEra Aquila (experiment design and data analysis) | |
| Pasqal Fresnel (experimental-data analysis workflow) |
Languages
| Korean | |
| Native |
| English | |
| Fluent |