High-quality data acquisition and integration
Development of an analysis platform for analysis using expanded computational platforms by acquiring high-quality data and accumulating and integrating diverse research data.
Project Leader
Minoru Yoshida
Project Leader
Minoru Yoshida
Data Acquisition Support Platform Theme Leader: Nobuko Mataga
Coordinating/assisting the data collection through technical support on R-COMS and creating a database for promoting the sharing of all RIKEN research equipment.
Research DX Foundation Theme Leader: Shuichi Onami
Creating systems for collecting high-quality data using domain-specific and information-technology knowledge in collaboration with data-generation and -integration platforms
Data Mutualization platform Theme Leader: Norio Kobayashi
Realizing a cross-disciplinary information environment for promoting data aggregation, sharing, and utilization using metadata technology and research data management infrastructure
ICT Infrastructure and Environment
Theme Leader:
Motoyoshi Kurokawa
Construction and operation of research network infrastructure, data storage systems, data processing systems, etc.
Pioneer prediction science
with AI x Mathematical Science
Connecting supercomputers, AI, and quantum computers through mathematical science to develop algorithms for quantum-classical hybrid computation in various fields
Project Leader
Tetsuo Hatsuda
Project Leader
Tetsuo Hatsuda
Platform aiming for breakthroughs in quantum computational science. Nurturing cross-disciplinary research in physics, chemistry, life science, social science, computational science and information science based on quantum as well as hybrid with high performance computations.
Theme Leader:
Seiji Yunoki
Creating a new “predictive science” that enables the impossible in prediction, control, and estimation in various fields, using “theory of prediction” such as big simulation, big data assimilation, AI, and mathematics as a horizontal skewer.
Theme Leader:
Takemasa Miyoshi
Expansion of Computationally Viable Region
Hybridization of Quantum and High-Performance computers
Project Leader
Masashi Kawasaki
Project Leader
Masashi Kawasaki
Software for hybrid system of quantum and high-performance computers
Science and technology of system software are developed to realize a platform to tightly integrate quantum computer high-performance computers.
Theme Leader:
Mitsuhisa Sato
Hardware for hybrid system of quantum and high-performance computers
Establishment of a hardware system to connect RIKEN’s home-made quantum computer with high-performance computers to realize hybrid-computing.
Theme Leader:
Shinichi Yorozu
Leading-edge semiconductor technology
Development of semiconductor key technologies (EUV lithography and next-generation silicon technologies) towards advanced hybrid computation by quantum and high-performance computers
Theme Leader:
Eiji J. Takahashi
Use case Project
To promote collaborative research across different disciplines by utilizing platform of platforms, and to promote initiatives to create new knowledge and to link rapidly developing innovative technologies to solve social issues as use cases.
Project Leader
Fumihiko Ishikawa
Project Leader
Fumihiko Ishikawa
1.Nuclear Transmutation
Theme Leader: Masaaki Kimura
Improve the accuracy of the theoretical predictions for various nuclear reactions aiming to uncover new energy sources and valuable isotopes.
2.Many-body Electron Systems
Theme Leader: Ryotaro Arita
Aiming to explore and design novel properties of quantum many-body systems for the development of functional materials and substances.
3.Field-omics
Theme Leader: Ken Shirasu
Aiming to realize "sustainable consumption and production patterns" as advocated in the SDGs, the project aims for highly accurate prediction and management of multilevel ecosystems (plants, microorganisms, and soil).
4. Polymer Chemistry
Theme Leader: Zhaomin Hou
Aiming to realize the development of polymer materials with functions such as long life and easy recycling to contribute to the realization of a post-petrochemical economy.
