Rudy Raymond has more than 14 years of experiences of applying technical skills in Quantum Computing, AI and optimization to real-world problems that led to projects with industrial clients, ranging from IT, telecommunication, education and finance to automotive industries.
His recent activities in 2020 include technical consulting on Quantum Computing and AI to clients in Japan, authoring technical papers, evaluating patents, delivering invited talks on Quantum Computing, and serving as a program committee of IPSJ SIGQS (Information Processing Society of Japan, Special Interest Group of Quantum Software), and ASPDAC 2021 (Asia-South Pacific Design Automation Conference), and other top AI conferences.
Presentation Title:
Keynote 1: Quantum Computing for Optimization, Simulation and Machine Learning
We outline the potential role of Quantum Computing in Industry 4.0 to deal with computationally challenging problems of Simulation, Optimization, and Machine Learning. We first explain how Quantum Computing can provide a provable quantum advantage over classical simulation methods, and review the recent progress of research to implement the quantum algorithms. We then show how to solve combinatorial optimization problems with quantum techniques and demonstrate working examples. Finally, we present the latest results to enhance machine learning techniques with near-term quantum devices.