Hong-Ye Hu

16 papers Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Ansatz-free Hamiltonian learning with Heisenberg-limited scaling.
CoRR
Hong-Ye Hu, Muzhou Ma, Weiyuan Gong, Qi Ye, Yu Tong, Steven T. Flammia, Susanne F. Yelin
2025 J jnl
How Focused Are LLMs? A Quantitative Study via Repetitive Deterministic Prediction Tasks.
CoRR
Wanda Hou, Leon Zhou, Hong-Ye Hu, Yi-Zhuang You, Xiao-Liang Qi
2025 J jnl
Low-overhead transversal fault tolerance for universal quantum computation.
Nat.
Hengyun Zhou, Chen Zhao, Madelyn Cain, Dolev Bluvstein, Nishad Maskara, Casey Duckering, Hong-Ye Hu, Sheng-Tao Wang, Aleksander Kubica, Mikhail D. Lukin
2025 J jnl
Universal Dynamics with Globally Controlled Analog Quantum Simulators.
CoRR
Hong-Ye Hu, Abigail McClain Gomez, Liyuan Chen, Aaron Trowbridge, Andy J. Goldschmidt, Zachary Manchester, Frederic T. Chong, Arthur Jaffe, Susanne F. Yelin
2024 J jnl
Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows.
CoRR
Hong-Ye Hu, Andi Gu, Swarnadeep Majumder, Hang Ren, Yipei Zhang, Derek S. Wang, Yi-Zhuang You, Zlatko Minev, Susanne F. Yelin, Alireza Seif
2024 J jnl
Derandomized shallow shadows: Efficient Pauli learning with bounded-depth circuits.
CoRR
Katherine Van Kirk, Christian Kokail, Jonathan Kunjummen, Hong-Ye Hu, Yanting Teng, Madelyn Cain, Jacob Taylor, Susanne F. Yelin, Hannes Pichler, Mikhail D. Lukin
2024 J jnl
Digital-analog quantum learning on Rydberg atom arrays.
CoRR
Jonathan Z. Lu, Lucy Jiao, Kristina Wolinski, Milan Kornjaca, Hong-Ye Hu, Sergio Cantu, Fangli Liu, Susanne F. Yelin, Sheng-Tao Wang
2024 J jnl
Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic.
Quantum
Andi Gu, Hong-Ye Hu, Di Luo, Taylor L. Patti, Nicholas C. Rubin, Susanne F. Yelin
2023 J jnl
Discovery of Optimal Quantum Error Correcting Codes via Reinforcement Learning.
CoRR
Vincent Paul Su, ChunJun Cao, Hong-Ye Hu, Yariv Yanay, Charles Tahan, Brian Swingle
2023 J jnl
Scalable and Flexible Classical Shadow Tomography with Tensor Networks.
Quantum
Ahmed A. Akhtar, Hong-Ye Hu, Yi-Zhuang You
2022 J jnl
Differentiable programming of isometric tensor networks.
Mach. Learn. Sci. Technol.
Chenhua Geng, Hong-Ye Hu, Yijian Zou
2022 J jnl
RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior.
Mach. Learn. Sci. Technol.
Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen
2021 J jnl
Differentiable Programming of Isometric Tensor Networks.
CoRR
Chenhua Geng, Hong-Ye Hu, Yijian Zou
2021 J jnl
Hamiltonian-Driven Shadow Tomography of Quantum States.
CoRR
Hong-Ye Hu, Yi-Zhuang You
2021 J jnl
Neural ordinary differential equation and holographic quantum chromodynamics.
Mach. Learn. Sci. Technol.
Koji Hashimoto, Hong-Ye Hu, Yi-Zhuang You
2020 J jnl
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior.
CoRR
Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen