Advancing the Future of Science through Computation and Measurement.

Supercomputing×Quantum Computing×AI Analysis×NanoTerasu Integration

By integrating advanced computation, measurement, and data science, we maximize the potential of next-generation research infrastructure and contribute to the advancement of science and society.

Super
Computing

Research and development of supercomputers and performance optimization

Quantum
Computing

Research on quantum algorithms and computational infrastructure

AI Analysis &
Data Science

AI analysis and data science for extracting value from data

NanoTerasu
Integration

Building measurement and data-processing infrastructure through collaboration with NanoTerasu

ABOUT

About Komatsu Laboratory

We pursue the advancement of research infrastructure itself by integrating computational science, quantum computing, AI analysis, and advanced measurement technologies.

Through supercomputer research and performance optimization, collaboration with NanoTerasu, and advanced analysis of large-scale data, we explore new possibilities in science.

Challenging Research

We pursue supercomputer research and the potential of quantum computing, conducting research that goes beyond existing limitations.

Interdisciplinary Environment

Members from diverse backgrounds, including information science, physics, and engineering, collaborate to create new value.

Cutting-edge Facilities and Collaboration

We leverage cutting-edge computational and measurement infrastructure such as supercomputers and NanoTerasu to maximize research potential.

Contribution to Society

We return the knowledge and technologies obtained through our research to society, contributing to scientific advancement and a sustainable future.

PROJECTS

Research Projects

ACHIEVEMENTS

Research Achievements

Selected Publications

View All Achievements
2025.06
ISC High Performance 2025
Performance Evaluation of Vector Annealing on Multiple Nodes using the Traveling Salesperson Problem
2025.05
IPDPSW / PDCO 2025
A Compressed QUBO Format for Traveling Salesperson Problems
2025.05
SC Workshops 2025
Classification of Three-dimensional Electron Diffraction Data with a Large Language Model
2024.12
CANDARW 2024
A Graph-based Molecular Structure Identification Method via Feature Extraction for Three-dimensional Electron Diffraction Data

Would you like to shape the future of science with us?

Laboratory visits and consultations are always welcome.
Please feel free to contact us.

Contact Us