Radixia

HPC and AI and Quantum-HPC in Japan

SessionWednesday · 14:15–15:30 · Hall 4 - Ground Floor · ~2,255 words

Speakers: Gih Guang Hung (NSCC SINGAPORE)

Session summary

In this session, Satoshi Matsuoka of RIKEN outlines Japan's strategy at the intersection of HPC, AI, and quantum computing. He argues for moving from a 20th-century model of science toward an automated 'industrial revolution of science' in which principal AI scientist agents work alongside humans and domain-specific tools to drive discovery loops. Matsuoka stresses that AI for science extends well beyond hosting large language models to diverse non-lingual models, including simulation surrogates, physics-informed neural networks, generative models for terabyte-scale images, and graph neural networks. He describes about a billion US dollars in Japanese government funding, including Fugaku Next design and roughly 250 million dollars for domain-science programs, and a modest RIKEN cluster of about 2,000 Grace Blackwell GPUs (two GB200 NVL4 systems) running a hardened software stack derived from Virtual Fugaku plus AI components and the REVOLT secure agent sandbox. He highlights international collaboration, notably Japan becoming a primary partner in the US DOE Genesis mission with matched half-billion-dollar investments, and award-winning joint work with Oak Ridge. On quantum, Japan operates IBM Heron and Quantinuum systems in a hybrid quantum-HPC infrastructure, reporting results such as a 4Fe-4S iron-sulfur structure determination and a 12,635-atom protein simulation with IBM and Cleveland Clinic. Fugaku Next, developed with Fujitsu and NVIDIA, will use the 1.4nm Monaka X CPU with NVLink Fusion, targeting a 100x application speedup driven largely by software and algorithms, including FP8 techniques.

Topics: AI for science · quantum-HPC integration · fugaku next · agentic AI · international collaboration · low-precision computing

AI-generated summary of an auto-generated transcript (~2,255 words in full). Details may be imprecise — verify against the session recording.

Auto-generated captions from ISC 2026 session recordings · transcription errors likely, verify quotes against the video · timestamps are offsets into each recording · independent tool, not affiliated with ISC · a Radixia Labs experiment