Yudai Suzuki is a researcher at Keio Quantum Computing Center. He graduated from Keio University with an undergraduate degree in Mechanical Engineering (2019), and received his M.S. (2021) and Ph.D. degree (2024) from Keio University.
His research interests include quantum machine learning and noisy intermediate-scale quantum algorithms, such as quantum kernel methods, quantum reservoir computing, and variational quantum algorithms. He is particularly interested in analyzing limitations and practical applications of quantum machine learning models from the perspective of information geometry and learning theory.