Quantum Optimization

CVIU Lab, EECS Department


University of Arkansas

https://uark-cviu.github.io/
Email: khoaluu@uark.edu

Quatum Optimization

Introduction

We have focused on the classic problem of the Capacitated Vehicle Routing Problem (CVRP) because of its real-world industry applications. Heuristics are often employed to solve this problem because it is difficult. In addition, meta-heuristic algorithms have proven to be capable of finding reasonable solutions to optimization problems like the CVRP. Recent research has shown that quantum-only and hybrid quantum/classical approaches to solving the CVRP are possible. Where quantum approaches are usually limited to minimal optimization problems, hybrid approaches have been able to solve more significant problems. Still, the hybrid approaches often need help finding solutions as good as their classical counterparts.

Research

blind-date Hybrid Quantum Tabu Search for Solving the Vehicle Routing Problem
James B. Holliday, Braeden Morgan, Khoa Luu
Under Review, 2024
blind-date Quantum Visual Feature Encoding Revisited
Nguyen Xuan Bac, Nguyen Hoang Quan, Samee U. Khan, and Khoa Luu
Under Review, 2024
blind-date QClusformer: A Quantum Transformer-based Framework for Unsupervised Vision Clustering
Nguyen Xuan Bac, Nguyen Hoang Quan, Chen Samuel Yen-Chi, Samee U. Khan, Hugh Churchill, and Khoa Luu
Under Review, 2024
blind-date Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
Nguyen Hoang-Quan, Nguyen Xuan Bac, Samuel Yen-Chi Chen, Hugh Churchill, Nicholas Borys, Samee U. Khan, and Khoa Luu
Under Review, 2024
blind-date Quantum Vision Clustering
Xuan Bac Nguyen, Hugh Churchill, Khoa Luu, Samee U. Khan
Under Review, 2024

Team

Dr. Khoa Luu
Assistant Professor
Project Leader
Xuan Bac Nguyen
PhD Candidate
James B. Holliday
PhD Candidate
Hoang-Quan Nguyen
PhD Candidate

Sponsors