Chenyi Zhang

24 papers A* 6A 2Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Balancing Gradient and Hessian Queries in Non-Convex Optimization.
CoRR
Deeksha Adil, Brian Bullins, Aaron Sidford, Chenyi Zhang
2025 J jnl
Isotropic Noise in Stochastic and Quantum Convex Optimization.
CoRR
Annie Marsden, Liam O'Carroll, Aaron Sidford, Chenyi Zhang
2025 A* conf
Robustness of Quantum Algorithms for Nonconvex Optimization.
ICLR
Weiyuan Gong, Chenyi Zhang, Tongyang Li
2024 J jnl
Comparisons Are All You Need for Optimizing Smooth Functions.
CoRR
Chenyi Zhang, Tongyang Li
2024 A* conf
Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss.
ICLR
Hao Wang, Chenyi Zhang, Tongyang Li
2024 J jnl
Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss.
CoRR
Hao Wang, Chenyi Zhang, Tongyang Li
2024 J jnl
On the hardness of learning ground state entanglement of geometrically local Hamiltonians.
CoRR
Adam Bouland, Chenyi Zhang, Zixin Zhou
2024 A conf
Public-Key Pseudoentanglement and the Hardness of Learning Ground State Entanglement Structure.
CCC
Adam Bouland, Bill Fefferman, Soumik Ghosh, Tony Metger, Umesh V. Vazirani, Chenyi Zhang, Zixin Zhou
2024 A* conf
Quantum Algorithms and Lower Bounds for Finite-Sum Optimization.
ICML
Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang, Tongyang Li
2024 J jnl
Quantum Algorithms and Lower Bounds for Finite-Sum Optimization.
CoRR
Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang, Tongyang Li
2024 — conf
Quantum Non-Identical Mean Estimation: Efficient Algorithms and Fundamental Limits.
TQC
Jiachen Hu, Tongyang Li, Xinzhao Wang, Yecheng Xue, Chenyi Zhang, Han Zhong
2024 A conf
Quantum Pseudoentanglement.
ITCS
Scott Aaronson, Adam Bouland, Bill Fefferman, Soumik Ghosh, Umesh V. Vazirani, Chenyi Zhang, Zixin Zhou
2023 J jnl
Public-key pseudoentanglement and the hardness of learning ground state entanglement structure.
CoRR
Adam Bouland, Bill Fefferman, Soumik Ghosh, Tony Metger, Umesh V. Vazirani, Chenyi Zhang, Zixin Zhou
2023 A* conf
Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions.
ICML
Chenyi Zhang, Tongyang Li
2023 A* conf
Quantum speedups for stochastic optimization.
NeurIPS
Aaron Sidford, Chenyi Zhang
2023 J jnl
Quantum speedups for stochastic optimization.
CoRR
Aaron Sidford, Chenyi Zhang
2022 J jnl
Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions.
CoRR
Chenyi Zhang, Tongyang Li
2022 J jnl
Quantum simulation of real-space dynamics.
CoRR
Andrew M. Childs, Jiaqi Leng, Tongyang Li, Jin-Peng Liu, Chenyi Zhang
2022 J jnl
Quantum simulation of real-space dynamics.
Quantum
Andrew M. Childs, Jiaqi Leng, Tongyang Li, Jin-Peng Liu, Chenyi Zhang
2022 J jnl
Robustness of Quantum Algorithms for Nonconvex Optimization.
CoRR
Weiyuan Gong, Chenyi Zhang, Tongyang Li
2021 A* conf
Escape saddle points by a simple gradient-descent based algorithm.
NeurIPS
Chenyi Zhang, Tongyang Li
2021 J jnl
Escape saddle points by a simple gradient-descent based algorithm.
CoRR
Chenyi Zhang, Tongyang Li
2021 J jnl
Quantum algorithms for escaping from saddle points.
Quantum
Chenyi Zhang, Jiaqi Leng, Tongyang Li
2020 J jnl
Quantum Algorithms for Escaping from Saddle Points.
CoRR
Chenyi Zhang, Jiaqi Leng, Tongyang Li