Objective

Overview

Fugaku’s computational power has brought about significant developments in basic science.
Its contributions have been significant in a wide range of fields from elementary particles and nuclei to condensed matter physics,including the expansion of the range of applications that could not be realized in the past and the improvements in accuracy.
Now that the initial results have been produced, a qualitative step-up to the next stage is required. In our project, large-scale collaborations ranging from subatomic particles and nuclei to condensed matter physics will be carried out to address important challenges in basic science.

This project will challenge important issues in basic science through large-scale collaboration spanning from elementary particles and nuclei to condensed matter physics.
These fields, which differ greatly in energy scale, have in common a quantum many-body systems with strong correlations, and they also share the problems of finding quantum states.
We will use data-science-based methods such as machine learning and newly developed advanced mathematical methods to advance our understanding of high-temperature superconductors and high-density nuclear materials, while at the same time accelerating the development of algorithms for the quantum computers of the future.
At the same time, we will accelerate the development of algorithms for future quantum computers and build a bridge to a new quantum era.
Our goal is to open a new era of basic science in which “quantum” is the keyword, including efforts to expand the results of computational science to all basic science through collaboration with large-scale experimental projects.