Weiyuan Gong

According to our database, Weiyuan Gong authored at least 22 papers between 2021 and 2026.

Collaborative distances:

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

2026

Learning and Generating Mixed States Prepared by Shallow Channel Circuits.

Fangjun Hu, Christian Kokail, Milan Kornjaca, Pedro L. S. Lopes, Weiyuan Gong, Sheng-Tao Wang, Xun Gao, Stefan Ostermann

CoRR, April, 2026

Instance-optimal high-precision shadow tomography with few-copy measurements: A metrological approach.

Senrui Chen, Weiyuan Gong, Sisi Zhou

CoRR, February, 2026

Time-Dependent Hamiltonian Simulation in the Low-Energy Subspace.

Shuo Zhou, Zhaokai Pan, Weiyuan Gong, Tongyang Li

CoRR, January, 2026

2025

Noisy Quantum Learning Theory.

Jordan Cotler, Weiyuan Gong, Ishaan Kannan

CoRR, December, 2025

Instance-Optimal Matrix Multiplicative Weight Update and Its Quantum Applications.

Weiyuan Gong, Tongyang Li, Xinzhao Wang, Zhiyu Zhang

CoRR, September, 2025

Information-Computation Gaps in Quantum Learning via Low-Degree Likelihood.

Sitan Chen, Weiyuan Gong, Jonas Haferkamp, Yihui Quek

CoRR, May, 2025

Ansatz-free Hamiltonian learning with Heisenberg-limited scaling.

Hong-Ye Hu, Muzhou Ma, Weiyuan Gong, Qi Ye, Yu Tong, Steven T. Flammia, Susanne F. Yelin

CoRR, February, 2025

Stabilizer Bootstrapping: A Recipe for Efficient Agnostic Tomography and Magic Estimation.

Sitan Chen, Weiyuan Gong, Qi Ye, Zhihan Zhang

Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025

Robustness of Quantum Algorithms for Nonconvex Optimization.

Weiyuan Gong, Chenyi Zhang, Tongyang Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Complexity of Digital Quantum Simulation in the Low-Energy Subspace: Applications and a Lower Bound.

Weiyuan Gong, Shuo Zhou, Tongyang Li

Quantum, 2024

Adaptivity can help exponentially for shadow tomography.

Sitan Chen, Weiyuan Gong, Zhihan Zhang

CoRR, 2024

On the sample complexity of purity and inner product estimation.

Weiyuan Gong, Jonas Haferkamp, Qi Ye, Zhihan Zhang

CoRR, 2024

Quantum-Classical Separations in Shallow-Circuit-Based Learning with and without Noises.

Zhihan Zhang, Weiyuan Gong, Weikang Li, Dong-Ling Deng

CoRR, 2024

Optimal Tradeoffs for Estimating Pauli Observables.

Sitan Chen, Weiyuan Gong, Qi Ye

Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024

One Gate Scheme to Rule Them All: Introducing a Complex Yet Reduced Instruction Set for Quantum Computing.

Jianxin Chen, Dawei Ding, Weiyuan Gong, Cupjin Huang, Qi Ye

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

A Theory of Digital Quantum Simulations in the Low-Energy Subspace.

Weiyuan Gong, Shuo Zhou, Tongyang Li

CoRR, 2023

Futility and utility of a few ancillas for Pauli channel learning.

Sitan Chen, Weiyuan Gong

CoRR, 2023

Improved Digital Quantum Simulation by Non-Unitary Channels.

Weiyuan Gong, Yaroslav Kharkov, Minh C. Tran, Przemyslaw Bienias, Alexey V. Gorshkov

CoRR, 2023

Learning Distributions over Quantum Measurement Outcomes.

Weiyuan Gong, Scott Aaronson

Proceedings of the International Conference on Machine Learning, 2023

2022

Enhancing Quantum Adversarial Robustness by Randomized Encodings.

Weiyuan Gong, Dong Yuan, Weikang Li, Dong-Ling Deng

CoRR, 2022

2021

Weighted Quantum Channel Compiling through Proximal Policy Optimization.

Weiyuan Gong, Si Jiang, Dong-Ling Deng

CoRR, 2021

Universal Adversarial Examples and Perturbations for Quantum Classifiers.

Weiyuan Gong, Dong-Ling Deng

CoRR, 2021