Quantum Langevin Dynamics for Optimization

27 November 2023

Papers citing "Quantum Langevin Dynamics for Optimization"

24 / 24 papers shown

Title
Quantum Optimization via Gradient-Based Hamiltonian Descent Jiaqi Leng Bin Shi 29 0 0 20 May 2025
Operator-Level Quantum Acceleration of Non-Logconcave Sampling Jiaqi Leng Zhiyan Ding Zherui Chen Lin Lin 83 1 0 08 May 2025
Quantum Non-Linear Bandit Optimization Zakaria Shams Siam Chaowen Guan Chong Liu 71 0 0 04 Mar 2025
A quantum-classical performance separation in nonconvex optimization Jiaqi Leng Yufan Zheng Xiaodi Wu 52 7 0 01 Nov 2023
Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games Minbo Gao Zhengfeng Ji Tongyang Li Qisheng Wang 53 9 0 27 Apr 2023
Quantum Hamiltonian Descent Jiaqi Leng Ethan Hickman Joseph Li Xiaodi Wu 43 15 0 02 Mar 2023
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants Andrew M. Childs Tongyang Li Jin-Peng Liu Cong Wang Ruizhe Zhang 51 16 0 12 Oct 2022
On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks Yizhou Liu Weijie J. Su Tongyang Li 55 18 0 29 Sep 2022
New hard benchmark functions for global optimization Abdesslem Layeb 20 6 0 09 Feb 2022
On the Hyperparameters in Stochastic Gradient Descent with Momentum Bin Shi 82 14 0 09 Aug 2021
Adiabatic Quantum Linear Regression Prasanna Date T. Potok 88 70 0 05 Aug 2020
Quantum algorithms for escaping from saddle points Chenyi Zhang Jiaqi Leng Tongyang Li 57 19 0 20 Jul 2020
On Learning Rates and Schrödinger Operators Bin Shi Weijie J. Su Michael I. Jordan 66 60 0 15 Apr 2020
Sublinear quantum algorithms for training linear and kernel-based classifiers Tongyang Li Shouvanik Chakrabarti Xiaodi Wu 50 76 0 04 Apr 2019
Understanding the Acceleration Phenomenon via High-Resolution Differential Equations Bin Shi S. Du Michael I. Jordan Weijie J. Su 53 259 0 21 Oct 2018
Log-concave sampling: Metropolis-Hastings algorithms are fast Raaz Dwivedi Yuansi Chen Martin J. Wainwright Bin Yu 66 255 0 08 Jan 2018
Non-convex Optimization for Machine Learning Prateek Jain Purushottam Kar 153 486 0 21 Dec 2017
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics Yuchen Zhang Percy Liang Moses Charikar 61 236 0 18 Feb 2017
An overview of gradient descent optimization algorithms Sebastian Ruder ODL 202 6,184 0 15 Sep 2016
A Variational Perspective on Accelerated Methods in Optimization Andre Wibisono Ashia Wilson Michael I. Jordan 85 573 0 14 Mar 2016
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 157 1,166 0 04 Mar 2015
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 104 908 0 17 Feb 2014
A Literature Survey of Benchmark Functions For Global Optimization Problems Momin Jamil Xin-She Yang 104 1,282 0 19 Aug 2013
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring S. Ahn Anoop Korattikara Balan Max Welling 77 306 0 27 Jun 2012