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.
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Research
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Hybrid Quantum Tabu Search for Solving the Vehicle
Routing Problem
James B. Holliday, Braeden Morgan, Khoa Luu
Under Review, 2024
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Quantum Visual Feature Encoding Revisited
Nguyen Xuan Bac, Nguyen Hoang Quan, Samee U. Khan, and Khoa Luu
Under Review, 2024
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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
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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
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Quantum Vision Clustering
Xuan Bac Nguyen, Hugh Churchill, Khoa Luu, Samee U. Khan
Under Review, 2024
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Dr. Khoa Luu
Assistant Professor
Project Leader
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Xuan Bac Nguyen
PhD Candidate
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James B. Holliday
PhD Candidate
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Hoang-Quan Nguyen
PhD Candidate
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