Hong-Ye Hu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Partial Knowledge

Tomographic Reconstruction

Top Venues

Mach. Learn. Sci. Technol.

Publications

Hong-Ye Hu, Andi Gu, Swarnadeep Majumder, Hang Ren, Yipei Zhang, Derek S. Wang, Yi-Zhuang You, Zlatko Minev, Susanne F. Yelin, Alireza Seif
Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows. CoRR (2024)
Jonathan Z. Lu, Lucy Jiao, Kristina Wolinski, Milan Kornjaca, Hong-Ye Hu, Sergio Cantu, Fangli Liu, Susanne F. Yelin, Sheng-Tao Wang
Digital-analog quantum learning on Rydberg atom arrays. CoRR (2024)
Ahmed A. Akhtar, Hong-Ye Hu, Yi-Zhuang You
Scalable and Flexible Classical Shadow Tomography with Tensor Networks. Quantum 7 (2023)
Vincent Paul Su, ChunJun Cao, Hong-Ye Hu, Yariv Yanay, Charles Tahan, Brian Swingle
Discovery of Optimal Quantum Error Correcting Codes via Reinforcement Learning. CoRR (2023)
Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen
RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior. Mach. Learn. Sci. Technol. 3 (3) (2022)
Chenhua Geng, Hong-Ye Hu, Yijian Zou
Differentiable programming of isometric tensor networks. Mach. Learn. Sci. Technol. 3 (1) (2022)
Koji Hashimoto, Hong-Ye Hu, Yi-Zhuang You
Neural ordinary differential equation and holographic quantum chromodynamics. Mach. Learn. Sci. Technol. 2 (3) (2021)
Hong-Ye Hu, Yi-Zhuang You
Hamiltonian-Driven Shadow Tomography of Quantum States. CoRR (2021)
Chenhua Geng, Hong-Ye Hu, Yijian Zou
Differentiable Programming of Isometric Tensor Networks. CoRR (2021)
Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior. CoRR (2020)