76 | Quantum AI: Algorithms and Applications

Abstract

This course covers various Quantum AI technologies based on Parameterized Quantum Circuits (PQC), one of the quantum technologies that has recently attracted significant attention.

To facilitate a clear understanding of PQC-based quantum AI, the course first introduces quantum neural network architectures by integrating fundamental concepts of classical artificial neural networks with quantum computing theory. Building upon this foundation, the course then explores advanced Quantum AI models, including Quantum Reinforcement Learning (QRL), Quantum Federated Learning (QFL), and Quantum Convolutional Neural Networks (QCNNs).

Finally, through representative research cases in which Quantum AI algorithms are applied across diverse domains, the course examines the advantages of Quantum AI technologies and their potential for future research directions.

Speaker Bio

Soohyun Park has been an assistant professor at Sookmyung Women’s University, Seoul, Republic of Korea. She was a postdoctoral scholar at the Department of Electrical and Computer Engineering, Korea University, Seoul, Republic of Korea, where she received her Ph.D. degree in electrical and computer engineering. She also received her B.S. in computer science and engineering from Chung-Ang University, Seoul, Republic of Korea. Her research interests are in deep learning theory and network/mobility applications, quantum neural network (QNN) theory and applications, QNN software engineering and programming languages, and AI-based autonomous control for distributed computing systems. She serves as editor for IEEE COMMUNICATIONS SURVEYS AND TUTORIALS. She was a recipient of ICT Express Best Reviewer Award (2021), KICS/HFR Research Paper Award (2023, Area: Quantum Computing and Technologies), IEEE ICTC Best Paper Award (2024), IEEE ICTC Best TPC Award (2024), IEEE Seoul Section Student Paper Contest Awards, IEEE Vehicular Technology Society (VTS) Seoul Chapter Awards, IEEE ICDCS Best Runner Up Poster Paper (2025), and IEEE TCSC Award for Excellence in Scalable Computing Early Career Researchers (Contributions for quantum-inspired advanced learning for mobile systems) (2025).