Hong-Ye Hu

According to our database, Hong-Ye Hu authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows.

Hong-Ye Hu, Andi Gu, Swarnadeep Majumder, Hang Ren, Yipei Zhang, Derek S. Wang, Yi-Zhuang You, Zlatko Minev, Susanne F. Yelin, Alireza Seif

CoRR, 2024

Digital-analog quantum learning on Rydberg atom arrays.

Jonathan Z. Lu, Lucy Jiao, Kristina Wolinski, Milan Kornjaca, Hong-Ye Hu, Sergio Cantu, Fangli Liu, Susanne F. Yelin, Sheng-Tao Wang

CoRR, 2024

2023

Scalable and Flexible Classical Shadow Tomography with Tensor Networks.

Ahmed A. Akhtar, Hong-Ye Hu, Yi-Zhuang You

Quantum, June, 2023

Discovery of Optimal Quantum Error Correcting Codes via Reinforcement Learning.

Vincent Paul Su, ChunJun Cao, Hong-Ye Hu, Yariv Yanay, Charles Tahan, Brian Swingle

CoRR, 2023

2022

RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior.

Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen

Mach. Learn. Sci. Technol., 2022

Differentiable programming of isometric tensor networks.

Chenhua Geng, Hong-Ye Hu, Yijian Zou

Mach. Learn. Sci. Technol., 2022

2021

Neural ordinary differential equation and holographic quantum chromodynamics.

Koji Hashimoto, Hong-Ye Hu, Yi-Zhuang You

Mach. Learn. Sci. Technol., 2021

Hamiltonian-Driven Shadow Tomography of Quantum States.

Hong-Ye Hu, Yi-Zhuang You

CoRR, 2021