论文

2026

1. arXiv
   (PRL UR)

   Model-agnostic cooling algorithms for strongly interacting fermions

   Henning Schlömer, Liyuan Chen, Susanne F. Yelin, and Hong-Ye Hu^†

   arXiv preprint arXiv:2605.01029, 2026

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   We introduce a randomized, symmetry-preserving cooling algorithm that requires no spectral information and drives generic fermionic systems toward their low-energy manifold.

2. PRX Quantum

   Efficient Measurement-Driven Eigenenergy Estimation with Classical Shadows

   Yanting Shen, Alex Buzali, Hong-Ye Hu, Katherine Klymko, and 3 more authors

   PRX Quantum, 2026

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3. arXiv

   Entanglement and information scrambling in long-range measurement-only circuits

   Abigail McClain Gomez, Fiona Abney-McPeek, Hong-Ye Hu, Susanne F. Yelin, and 1 more author

   arXiv preprint arXiv:2604.22022, 2026

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4. arXiv

   Ansatz-Free Learning of Lindbladian Dynamics In Situ

   Petr Ivashkov, Nikolay Romanov, Weiyuan Gong, Andi Gu, and 2 more authors

   arXiv preprint arXiv:2603.05492, 2026

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5. arXiv

   Opportunities and challenges in scaling quantum error detection on hardware

   Yoann Le Fur, Eric Egger, Hong-Ye Hu, Vincent Russo, and 2 more authors

   arXiv preprint arXiv:2605.02861, 2026

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2025

1. Nat. Commun.

   Demonstration of robust and efficient quantum property learning with shallow shadows

   Hong-Ye Hu^*, Andi Gu^*, Swarnadeep Majumder, Hang Ren, and 6 more authors

   Nature Communications, 2025

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   We demonstrate robust and efficient quantum property learning with shallow shadows on superconducting quantum processors. The protocol uses shallow randomized measurements and noise-aware post-processing to predict many quantum properties with substantially reduced experimental overhead, providing a practical route to scalable characterization of near-term quantum devices.

2. PRX Quantum

   Ansatz-Free Hamiltonian Learning with Heisenberg-Limited Scaling

   Hong-Ye Hu^*, Muzhou Ma^*, Weiyuan Gong, Qi Ye, and 3 more authors

   PRX Quantum, 2025

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   We present a quantum algorithm to learn arbitrary sparse Hamiltonians without structure constraints using black-box real-time evolution queries and minimal digital controls, attaining Heisenberg-limited scaling.

3. PRL

   Efficiently Measuring d-Wave Pairing and Beyond in Quantum Gas Microscopes

   Daniel K. Mark^*, Hong-Ye Hu^*, Joyce Kwan, Christian Kokail, and 2 more authors

   Physical Review Letters, 2025

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   We introduce a protocol for efficiently measuring d-wave pairing and related observables in fermionic quantum gas microscopes using global controls followed by site-resolved particle-number measurements.

4. Nature

   Low-overhead transversal fault tolerance for universal quantum computation

   Hengyun Zhou, Chen Zhao, Madelyn Cain, Dolev Bluvstein, and 6 more authors

   Nature, 2025

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   We show that logical operations can be performed fault-tolerantly with only a constant number of extraction rounds for a broad class of quantum error correction codes.

5. PR Applied

   Discovery of optimal quantum codes via reinforcement learning

   Vincent Paul Su^†, ChunJun Cao, Hong-Ye Hu^†, Yariv Yanay, and 2 more authors

   Physical Review Applied, 2025

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   We use reinforcement learning to discover optimal quantum error-correcting codes.

6. arXiv
   (Nat. Phys. UR)

   Universal Dynamics with Globally Controlled Analog Quantum Simulators

   Hong-Ye Hu^*, Abigail McClain Gomez^*, Liyuan Chen^*, Aaron Trowbridge, and 5 more authors

   arXiv preprint arXiv:2508.19075, 2025

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   We establish a necessary and sufficient condition for universal quantum computation using only global pulse control and introduce direct quantum optimal control for globally controlled analog platforms.

7. PR Applied

   Syncopated Dynamical Decoupling for Suppressing Crosstalk in Quantum Circuits

   Benjamin Evert, Gabriel Z. Izquierdo, Jahan Sud, Hong-Ye Hu, and 4 more authors

   Physical Review Applied, 2025

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8. arXiv

   How Focused Are LLMs? A Quantitative Study via Repetitive Deterministic Prediction Tasks

   Wenjun Hou, Lin Zhou, Hong-Ye Hu, Yi-Zhuang You, and 1 more author

   arXiv preprint arXiv:2511.00763, 2025

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2024

1. arXiv

   Large-scale quantum reservoir learning with an analog quantum computer

   Milan Kornjača^*, Hong-Ye Hu^*, Chen Zhao, Jonathan Wurtz, and 2 more authors

   arXiv preprint arXiv:2407.02553, 2024

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   We develop a scalable quantum reservoir learning algorithm using neutral-atom analog quantum dynamics and demonstrate learning with system sizes up to 108 qubits.

2. PRR

   Predicting Arbitrary State Properties from Single Hamiltonian Quench Dynamics

   Zihan Liu, Zihan Hao, and Hong-Ye Hu

   Physical Review Research, 2024

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3. QST

   Digital-analog quantum learning on rydberg atom arrays

   Jonathan Z. Lu, Liane Jiao, Kamil Wolinski, Milan Kornjača, and 5 more authors

   Quantum Science and Technology, 2024

   
4. PRB

   Measurement-Induced Criticality is Tomographically Optimal

   Ali Akhtar, Hong-Ye Hu, and Yi-Zhuang You

   Physical Review B, 2024

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5. SCPMA

   High-order time-reversal symmetry breaking normal state

   Meng Zeng, Li-Hao Hu, Hong-Ye Hu, Yi-Zhuang You, and 1 more author

   Science China Physics, Mechanics & Astronomy, 2024

   
6. Quantum

   Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic

   Andi Gu, Hong-Ye Hu, Di Luo, Taylor L. Patti, and 2 more authors

   Quantum, 2024

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7. arXiv

   Derandomized shallow shadows: Efficient Pauli learning with bounded-depth circuits

   Kameron Van Kirk, Christian Kokail, Joseph Kunjummen, Hong-Ye Hu, and 4 more authors

   arXiv preprint arXiv:2412.18973, 2024

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8. APL Quantum

   Circumventing Traps in Analog Quantum Machine Learning Algorithms Through Co-Design

   Ramon A. Bravo, Jose G. Ponce, Hong-Ye Hu, and Susanne F. Yelin

   APL Quantum, 2024

   

2023

1. PRR

   Classical shadow tomography with locally scrambled quantum dynamics

   Hong-Ye Hu, Soonwon Choi, and Yi-Zhuang You

   Physical Review Research, 2023

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   We introduce classical shadow tomography with locally scrambled quantum dynamics, showing how local random circuits can efficiently extract many properties of quantum many-body states while respecting locality and experimental constraints.

2. Quantum

   Scalable and Flexible Classical Shadow Tomography with Tensor Networks

   Ali Akhtar, Hong-Ye Hu, and Yi-Zhuang You

   Quantum, 2023

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3. PRX Quantum

   Interpretable Quantum Advantage in Neural Sequence Learning

   Eric Anschuetz, Hong-Ye Hu, Jinzhao Liang Huang, and Xun Gao

   PRX Quantum, 2023

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2022

1. PRR

   Hamiltonian-Driven Shadow Tomography of Quantum States

   Hong-Ye Hu and Yi-Zhuang You

   Physical Review Research, 2022

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2. arXiv

   Logical shadow tomography: Efficient estimation of error-mitigated observables

   Hong-Ye Hu, Ryan LaRose, Yi-Zhuang You, Eleanor Rieffel, and 1 more author

   arXiv preprint arXiv:2203.07263, 2022

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3. MLST

   Differentiable Programming of Isometric Tensor Networks

   ChunJun Geng, Hong-Ye Hu, and Yi Zou

   Machine Learning: Science and Technology, 2022

   
4. MLST

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

   Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno Olshausen, and 1 more author

   Machine Learning: Science and Technology, 2022

   

2021

1. PRB

   Topological and symmetry-enriched random quantum critical points

   Carlos M. Duque, Hong-Ye Hu, Yi-Zhuang You, Vedika Khemani, and 2 more authors

   Physical Review B, 2021

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2. MLST

   Neural ordinary differential equation and holographic quantum chromodynamics

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

   Machine Learning: Science and Technology, 2021

   

2020

1. PRR

   Machine learning holographic mapping by neural network renormalization group

   Hong-Ye Hu, Shao-Hua Li, Lei Wang, and Yi-Zhuang You

   Physical Review Research, 2020

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2. CPL

   Resonant quantum search with monitor qubits

   Frank Wilczek, Hong-Ye Hu, and Biao Wu

   Chinese Physics Letters, 2020

   
3. arXiv

   Quantum Magnetism in Wannier-Obstructed Mott Insulators

   Xiao-Yu Huang, Tzu-Chieh Wang, Sheng-Jie Liu, Hong-Ye Hu, and 1 more author

   arXiv preprint arXiv:2005.01439, 2020

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2016

1. PRA

   Optimizing quantum adiabatic algorithm

   Hong-Ye Hu and Biao Wu

   Physical Review A, 2016

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