Changhun Oh

Korea Advanced Institute of Science and Technology — South Korea

Computer Science · Physical Sciences

13h-index591citations118works2.92yr avg
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Research Topics

Quantum Information and Cryptography(82), Quantum Computing Algorithms and Architecture(62), Quantum Mechanics and Applications(36), Quantum optics and atomic interactions(11), Quantum many-body systems(11)

Publications119 total

All-optical Loss-tolerant Distributed Quantum Sensing
npj Quantum Information·2026Open Access
On the fundamental resource for exponential advantage in quantum channel learning
Nature Communications·2026Open Access
On the fundamental resource for exponential advantage in quantum channel learning
Nature Communications·2026Open Access
Classical simulation of a quantum circuit with noisy magic inputs
arXiv (Cornell University)·2026Open Access
Classical simulation of a quantum circuit with noisy magic inputs
ArXiv.org·2026Open Access
Classical Algorithms for Measurement-Adaptive Gaussian Circuits
PRX Quantum·2026Open Access
On the query complexity of unitary channel certification
npj Quantum Information·2025Open Access
Advancing quantum imaging through learning theory
Nature Communications·2025Open Access
Neo: Real-Time On-Device 3D Gaussian Splatting with Reuse-and-Update Sorting Acceleration
arXiv (Cornell University)·2025Open Access
Sufficient conditions for hardness of lossy Gaussian boson sampling
arXiv (Cornell University)·2025Open Access
Classical simulation of noisy random circuits from exponential decay of correlation
arXiv (Cornell University)·2025Open Access
Higher moment theory and learnability of bosonic states
arXiv (Cornell University)·2025Open Access
Quantum learning advantage on a scalable photonic platform
Science·2025· 5 cited
Quantum Computational Advantage of Noisy Boson Sampling with Partially Distinguishable Photons
PRX Quantum·2025Open Access
Reconceptualizing Beginning Secondary Teachers’ Adaptation: Identity Formation and Customization Strategies
Korean Journal of Teacher Education·2025
Classical simulability of constant-depth linear-optical circuits with noise
npj Quantum Information·2025· 3 citedOpen Access
MixDiT: Accelerating Image Diffusion Transformer Inference with Mixed-Precision MX Quantization
arXiv (Cornell University)·2025· 1 citedOpen Access
Classical algorithms for estimating expectation values in linear-optical circuits
ArXiv.org·2025Open Access
Quantum learning advantage on a scalable photonic platform
arXiv (Cornell University)·2025Open Access
Exponential advantage in continuous-variable quantum state learning
arXiv (Cornell University)·2025· 1 citedOpen Access
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Frequent Co-authors

Liang Jiang(24), Hyunseok Jeong(13), Bill Fefferman(10), Youngrong Lim(8), Yat Wong(6), Minzhao Liu(5), Yuri Alexeev(5), Sixia Yu(5), Changhyoup Lee(4), Sisi Zhou(4), Senrui Chen(4), Carsten Rockstuhl(3), Su‐Yong Lee(3), Junyu Liu(3), Hsin-Yuan Huang(3), Yong Siah Teo(3), Chengjie Zhang(3), L. C. Kwek(3), Jing‐Ling Chen(3), Hyunchul Nha(2)