Changhun Oh

Orcid: 0009-0009-9834-3848

According to our database¹, Changhun Oh authored at least 10 papers between 2023 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2026

Heisenberg-limited Hamiltonian learning without short-time control.

[BibT_eX]

[DOI]

Myeongjin Shin

Junseo Lee

Changhun Oh

CoRR, April, 2026

On computational complexity and average-case hardness of shallow-depth boson sampling.

[BibT_eX]

[DOI]

Byeongseon Go

Changhun Oh

Hyunseok Jeong

Quantum, 2026

Neo: Real-Time On-Device 3D Gaussian Splatting with Reuse-and-Update Sorting Acceleration.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

MixDiT: Accelerating Image Diffusion Transformer Inference With Mixed-Precision MX Quantization.

[BibT_eX]

[DOI]

IEEE Comput. Archit. Lett., 2025

Towards Symmetry-Aware Efficient Simulation of Quantum Systems and Beyond.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Trust, 2025

2024

DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics.

[BibT_eX]

[DOI]

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

2023

Information transmission with continuous variable quantum erasure channels.

[BibT_eX]

[DOI]

Changchun Zhong

Changhun Oh

Liang Jiang

Quantum, March, 2023

Tight bounds on Pauli channel learning without entanglement.

[BibT_eX]

[DOI]

CoRR, 2023

Supercomputing tensor networks for U(1) symmetric quantum many-body systems.

[BibT_eX]

[DOI]

CoRR, 2023

Complexity of Gaussian boson sampling with tensor networks.

[BibT_eX]

[DOI]

CoRR, 2023

Changhun Oh

Timeline

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On csauthors.net:

Bibliography

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