Oak Ridge Starts Weaving Together A Quantum, Classical HPC, And AI System Stack
AI-summarised brief · reviewed before publication
Oak Ridge National Laboratory is working to integrate quantum, classical HPC, and AI systems to solve complex calculations. The lab is home to the Frontier exascale-class system and is exploring ways to link quantum computing with HPC and AI. Tom Beck, section head for Science Engagement, notes that quantum computing is developing rapidly and can be viewed as an accelerator similar to GPUs. Oak Ridge scientists have been working on a hybrid HPC-quantum environment for several years, including the Quantum Computing User Program and the DOE's Quantum Science Center. The goal is to create a seamless system that can determine which jobs run on classical supercomputers versus quantum systems.
💡 Why It Matters
- · By integrating quantum and classical systems, researchers can tackle problems that are currently unsolvable, such as complex encryption and national security issues.
- · Quantum computing's ability to solve exponentially scaling problems in a polynomial amount of time makes it a crucial component of this integrated system.