activity
20232026
most citedQuantum Langevin Dynamics for Optimization

13 citations · 14 across the 6 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Bath-assisted cooling without resets

Xie-Hang Yu, Zherui Chen, Lin Lin

Cooling an arbitrary mixed state to a pure ground state requires transferring its entropy to an environment. Can a single coherent bath contact accomplish this without repeated bat…

cond-mat.mtrl-sci2026

GPUMDkit: A User-Friendly Toolkit for GPUMD and NEP

Zihan Yan, Denan Li, Xin Wu +20

Machine-learned interatomic potentials have revolutionized molecular dynamics simulations by providing quantum-mechanical accuracy at empirical-potential speeds. The graphics proce…

cs.LG2026★ 1 cited

Your Group-Relative Advantage Is Biased

Fengkai Yang, Zherui Chen, Xiaohan Wang +10

Reinforcement Learning from Verifier Rewards (RLVR) has emerged as a widely used approach for post-training large language models on reasoning tasks, with group-based methods such…

quant-ph2025

Quantum Replica Exchange

Zherui Chen, Joao Basso, Zhiyan Ding +1

The presence of energy barriers in the state space of a physical system can lead to exponentially slow convergence for sampling algorithms like Markov chain Monte Carlo (MCMC). In…

quant-ph2025

Operator-Level Quantum Acceleration of Non-Logconcave Sampling

Jiaqi Leng, Zhiyan Ding, Zherui Chen +1

Sampling from probability distributions of the form , where is a continuous potential, is a fundamental task across physics, chemistry, biology, computer scie…

quant-ph2024

A simple lower bound for the complexity of estimating partition functions on a quantum computer

Zherui Chen, Giacomo Nannicini

We study the complexity of estimating the partition function for a Gibbs distribution characterized by the Hamiltonian . We provide a…

quant-ph2023★ 13 cited

Quantum Langevin Dynamics for Optimization

Zherui Chen, Yuchen Lu, Hao Wang +2

We initiate the study of utilizing Quantum Langevin Dynamics (QLD) to solve optimization problems, particularly those non-convex objective functions that present substantial obstac…