Introduction
Artificial Intelligence is reshaping industries, while Quantum Computing promises to revolutionize the very foundations of computation. Quantum AI sits at the convergence of these two transformative fields, exploring how quantum mechanics can accelerate, enhance, and fundamentally reimagine intelligent systems.
By leveraging quantum principles such as superposition, entanglement, and tunneling, Quantum AI seeks to overcome classical bottlenecks in optimization, learning, and reasoning. This emerging field envisions AI models that learn faster, search deeper, and adapt more intelligently—capabilities that are critical for solving complex challenges in science, healthcare, finance, logistics, and beyond.
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Research
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QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks
Hoang-Quan Nguyen, Xuan-Bac Nguyen, Sankalp Pandey, Samee U Khan, Ilya Safro, Khoa Luu
Quantum Week Workshop, 2025
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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
Quantum Machine Intelligence, 2024
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Hierarchical Quantum Control Gates for Functional MRI Understanding
Xuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U Khan, Khoa Luu
IEEE Workshop on Signal Processing Systems, 2024
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Quantum Visual Feature Encoding Revisited
Nguyen Xuan Bac, Nguyen Hoang Quan, Samee U. Khan, and Khoa Luu
Quantum Machine Intelligence, 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
Quantum Week Workshop, 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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