Weiyuan Gong

25 papers A* 4Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Instance-optimal high-precision shadow tomography with few-copy measurements: A metrological approach.
CoRR
Senrui Chen, Weiyuan Gong, Sisi Zhou
2026 J jnl
Time-Dependent Hamiltonian Simulation in the Low-Energy Subspace.
CoRR
Shuo Zhou, Zhaokai Pan, Weiyuan Gong, Tongyang Li
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
Information-Computation Gaps in Quantum Learning via Low-Degree Likelihood.
CoRR
Sitan Chen, Weiyuan Gong, Jonas Haferkamp, Yihui Quek
2025 J jnl
Instance-Optimal Matrix Multiplicative Weight Update and Its Quantum Applications.
CoRR
Weiyuan Gong, Tongyang Li, Xinzhao Wang, Zhiyu Zhang
2025 J jnl
Noisy Quantum Learning Theory.
CoRR
Jordan Cotler, Weiyuan Gong, Ishaan Kannan
2025 A* conf
Robustness of Quantum Algorithms for Nonconvex Optimization.
ICLR
Weiyuan Gong, Chenyi Zhang, Tongyang Li
2025 A* conf
Stabilizer Bootstrapping: A Recipe for Efficient Agnostic Tomography and Magic Estimation.
STOC
Sitan Chen, Weiyuan Gong, Qi Ye, Zhihan Zhang
2024 J jnl
Adaptivity can help exponentially for shadow tomography.
CoRR
Sitan Chen, Weiyuan Gong, Zhihan Zhang
2024 J jnl
Complexity of Digital Quantum Simulation in the Low-Energy Subspace: Applications and a Lower Bound.
Quantum
Weiyuan Gong, Shuo Zhou, Tongyang Li
2024 J jnl
On the sample complexity of purity and inner product estimation.
CoRR
Weiyuan Gong, Jonas Haferkamp, Qi Ye, Zhihan Zhang
2024 — conf
One Gate Scheme to Rule Them All: Introducing a Complex Yet Reduced Instruction Set for Quantum Computing.
ASPLOS (2)
Jianxin Chen, Dawei Ding, Weiyuan Gong, Cupjin Huang, Qi Ye
2024 A* conf
Optimal Tradeoffs for Estimating Pauli Observables.
FOCS
Sitan Chen, Weiyuan Gong, Qi Ye
2024 J jnl
Optimal tradeoffs for estimating Pauli observables.
CoRR
Sitan Chen, Weiyuan Gong, Qi Ye
2024 J jnl
Quantum-Classical Separations in Shallow-Circuit-Based Learning with and without Noises.
CoRR
Zhihan Zhang, Weiyuan Gong, Weikang Li, Dong-Ling Deng
2024 J jnl
Stabilizer bootstrapping: A recipe for efficient agnostic tomography and magic estimation.
CoRR
Sitan Chen, Weiyuan Gong, Qi Ye, Zhihan Zhang
2023 J jnl
A Theory of Digital Quantum Simulations in the Low-Energy Subspace.
CoRR
Weiyuan Gong, Shuo Zhou, Tongyang Li
2023 J jnl
Futility and utility of a few ancillas for Pauli channel learning.
CoRR
Sitan Chen, Weiyuan Gong
2023 J jnl
Improved Digital Quantum Simulation by Non-Unitary Channels.
CoRR
Weiyuan Gong, Yaroslav Kharkov, Minh C. Tran, Przemyslaw Bienias, Alexey V. Gorshkov
2023 A* conf
Learning Distributions over Quantum Measurement Outcomes.
ICML
Weiyuan Gong, Scott Aaronson
2022 J jnl
Enhancing Quantum Adversarial Robustness by Randomized Encodings.
CoRR
Weiyuan Gong, Dong Yuan, Weikang Li, Dong-Ling Deng
2022 J jnl
Learning Distributions over Quantum Measurement Outcomes.
CoRR
Weiyuan Gong, Scott Aaronson
2022 J jnl
Robustness of Quantum Algorithms for Nonconvex Optimization.
CoRR
Weiyuan Gong, Chenyi Zhang, Tongyang Li
2021 J jnl
Universal Adversarial Examples and Perturbations for Quantum Classifiers.
CoRR
Weiyuan Gong, Dong-Ling Deng
2021 J jnl
Weighted Quantum Channel Compiling through Proximal Policy Optimization.
CoRR
Weiyuan Gong, Si Jiang, Dong-Ling Deng