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Quantum algorithms for escaping from saddle points
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Quantum algorithms for escaping from saddle points

Chenyi Zhang
Jiaqi Leng
Tongyang Li
ArXiv (abs)PDFHTML

Papers citing "Quantum algorithms for escaping from saddle points"

8 / 8 papers shown
Title
Quantum Optimization via Gradient-Based Hamiltonian Descent
Quantum Optimization via Gradient-Based Hamiltonian Descent
Jiaqi Leng
Bin Shi
56
0
0
20 May 2025
Quantum Non-Linear Bandit Optimization
Zakaria Shams Siam
Chaowen Guan
Chong Liu
91
0
0
04 Mar 2025
Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
Yexin Zhang
Chenyi Zhang
Cong Fang
Liwei Wang
Tongyang Li
59
2
0
05 Jun 2024
Quantum Langevin Dynamics for Optimization
Quantum Langevin Dynamics for Optimization
Zherui Chen
Yuchen Lu
Hao Wang
Yizhou Liu
Tongyang Li
AI4CE
144
11
0
27 Nov 2023
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
Andrew M. Childs
Tongyang Li
Jin-Peng Liu
Cong Wang
Ruizhe Zhang
64
17
0
12 Oct 2022
On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks
On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks
Yizhou Liu
Weijie J. Su
Tongyang Li
86
18
0
29 Sep 2022
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits
Tongyang Li
Ruizhe Zhang
56
14
0
26 Sep 2022
Quantum Algorithms and Lower Bounds for Linear Regression with Norm Constraints
Quantum Algorithms and Lower Bounds for Linear Regression with Norm Constraints
Yanlin Chen
Ronald de Wolf
177
16
0
25 Oct 2021