Date：2024/11/12 (二)

Time：10:00~11:30

Venue：EC6011

Topic：Quantum Machine Learning/Optimization-aided Next Generation Communications Technologies

Quantum computing is envisaged as an evolving paradigm for solving computationally complex optimization problems with a large-number factorization and exhaustive search. Recently, there has been a proliferating growth of the size of multi-dimensional datasets, the input-output space dimensionality, and data structures. Hence, the conventional machine learning approaches in data training and processing have exhibited their limited computing capabilities to support the sixth-generation (6G) networks with highly dynamic applications and services. 

Prof. Trung Q.Dung presents the state-of-the-art in quantum computing and provides a comprehensive overview of its potential, via machine learning approaches. Furthermore, He introduces quantum-inspired machine learning/optimization applications for 6G networks in terms of resource allocation and network security, considering their enabling technologies and potential challenges. Finally, some dominating research issues and future research directions for quantum-inspired machine learning/optimization in 6G networks are elaborated.