Universal Adversarial Examples and Perturbations for Quantum Classifiers. - Weiyuan Gong; Dong-Ling Deng (CoRR, 2021)

Weighted Quantum Channel Compiling through Proximal Policy Optimization. - Weiyuan Gong; Si Jiang; Dong-Ling Deng (CoRR, 2021)

Enhancing Quantum Adversarial Robustness by Randomized Encodings. - Weiyuan Gong; Dong Yuan 007; Weikang Li; Dong-Ling Deng (CoRR, 2022)

Learning Distributions over Quantum Measurement Outcomes. - Weiyuan Gong; Scott Aaronson (ICML, 2023)

Improved Digital Quantum Simulation by Non-Unitary Channels. - Weiyuan Gong; Yaroslav Kharkov; Minh C. Tran; Przemyslaw Bienias; Alexey V. Gorshkov (CoRR, 2023)

Futility and utility of a few ancillas for Pauli channel learning. - Sitan Chen; Weiyuan Gong (CoRR, 2023)

A Theory of Digital Quantum Simulations in the Low-Energy Subspace. - Weiyuan Gong; Shuo Zhou; Tongyang Li (CoRR, 2023)

One Gate Scheme to Rule Them All: Introducing a Complex Yet Reduced Instruction Set for Quantum Computing. - Jianxin Chen; Dawei Ding 002; Weiyuan Gong; Cupjin Huang; Qi Ye (ASPLOS (2), 2024)

Optimal Tradeoffs for Estimating Pauli Observables. - Sitan Chen; Weiyuan Gong; Qi Ye (FOCS, 2024)

Quantum-Classical Separations in Shallow-Circuit-Based Learning with and without Noises. - Zhihan Zhang; Weiyuan Gong; Weikang Li; Dong-Ling Deng (CoRR, 2024)

On the sample complexity of purity and inner product estimation. - Weiyuan Gong; Jonas Haferkamp; Qi Ye; Zhihan Zhang (CoRR, 2024)

Adaptivity can help exponentially for shadow tomography. - Sitan Chen; Weiyuan Gong; Zhihan Zhang (CoRR, 2024)

Complexity of Digital Quantum Simulation in the Low-Energy Subspace: Applications and a Lower Bound. - Weiyuan Gong; Shuo Zhou; Tongyang Li (Quantum, 2024)

Robustness of Quantum Algorithms for Nonconvex Optimization. - Weiyuan Gong; Chenyi Zhang 003; Tongyang Li (ICLR, 2025)

Stabilizer Bootstrapping: A Recipe for Efficient Agnostic Tomography and Magic Estimation. - Sitan Chen; Weiyuan Gong; Qi Ye; Zhihan Zhang (STOC, 2025)

Ansatz-free Hamiltonian learning with Heisenberg-limited scaling. - Hong-Ye Hu; Muzhou Ma; Weiyuan Gong; Qi Ye; Yu Tong 002; Steven T. Flammia; Susanne F. Yelin (CoRR, 2025)

Information-Computation Gaps in Quantum Learning via Low-Degree Likelihood. - Sitan Chen; Weiyuan Gong; Jonas Haferkamp; Yihui Quek (CoRR, 2025)