|TEL||+81-3-5841-4196 | 24196（ext.）|
|Room||945, Faculty of Science Bldg.1, 9F|
Computational physics, Condensed-matter theory
Quantum Criticality in Strongly Correlated Many-body Systems, Foundation of Quantum Theory and Statistical Physics、Novel Simulation Methods in Computational Physics
We are exploring novel methods in computational physics based on stochastic method such as the Monte Carlo simulation, path-integral representation of quantum fluctuations, information compression by using the singular value decomposition and the tensor network, statistical machine learning, etc. By making full use of these powerful numerical methods, we aim to elucidate various exotic phases, phase transitions, and dynamics specific to quantum many-body systems, from strongly correlated systems such as the spin systems and the Bose-Hubbard model to real materials. We are also researching parallelization methods for leading-edge supercomputers, and developing and releasing open-source software for next-generation physics simulations.
Monte Carlo Method, Tensor Network, Simulation Methods, Algorithms, Quantum Magnets, Quantum Liquids, Phase Transitions, Quantum Critical Phenomena, Randomness, Entanglement, Machine Learning, Parallelization and Optimization, Open-source Software