Synge Todo

Synge Todo is a Professor in the Department of Physics, Graduate School of Science at the University of Tokyo, with joint appointments at the Mathematics and Informatics Center, Institute for Solid State Physics, Institute for Physics of Intelligence, Quantum Software Project, and Next-Generation AI Research Center. Born in 1968, he earned his B.Sc. and Ph.D. from the University of Tokyo and subsequently held post-doctoral positions at ETH Zürich.

Education

• Ph.D. (Science), University of Tokyo, 1996
• B.Sc. (Physics), University of Tokyo, 1991

Research Interests
Todo’s research integrates quantum many-body physics, computational physics, and quantum computing. He develops advanced Monte-Carlo algorithms, tensor-network techniques, and renormalization group methods to study strongly correlated electron systems, lattice QCD, quantum phase transitions, and machine-learning applications in physics. His recent work explores fault-tolerant quantum computing architectures, non-variational quantum ground-state preparation, and universal scaling laws in deep neural networks.

Scientific Awards

• Prizes for Science and Technology, The Commendation for Science and Technology by MEXT Japan (April 2019)

Grants & Collaborations
He currently leads several JSPS KAKENHI projects, including “Quantum-circuit design for computational materials science” (2023-26) and “Enhancement of detailed-balance-violating MCMC methods” (2020-24). He also co-leads interdisciplinary teams focusing on data assimilation for materials discovery and scalable high-performance computing.

Laboratories & Software
Todo heads research activities in the HΦ quantum lattice model solver and the MateriApps portal, providing open-source tools for large-scale simulations in condensed-matter and materials science.