ORNL, Cleveland Clinic and IBM Compute 9 FLiBe Configurations on Quantum Computers
Updated
Updated · IBM Newsroom · Jul 6
ORNL, Cleveland Clinic and IBM Compute 9 FLiBe Configurations on Quantum Computers
3 articles · Updated · IBM Newsroom · Jul 6
Summary
Nine molecular configurations of FLiBe—a leading fusion blanket material—were calculated on quantum computers by scientists from ORNL, Cleveland Clinic and IBM, which they described as the first known such computation.
The work targets tritium production and extraction, a longstanding bottleneck for fusion power, by modeling how FLiBe binds tritium at the molecular level more precisely than difficult experiments or classical approximations alone.
Quantum-centric supercomputing split the problem between quantum and classical machines, letting the team probe electronic structure, atomic motion and binding mechanisms in the molten salt.
The project sits within the DOE Genesis Mission, which links 17 national labs with AI, high-performance computing and quantum tools; the team now aims to cut data-transfer time and scale to larger molecular interactions.
Is this blend of quantum and AI the key to unlocking other major scientific challenges beyond fusion energy?
How does simulating fusion fuel on a quantum computer help build a real-world clean power plant?
July 2026 Milestone: Quantum Computers Achieve First-Ever FLiBe Simulation for Fusion Energy
Overview
In July 2026, a major milestone was reached in fusion energy research with the first quantum computer-based simulation of FLiBe, a molten salt mixture crucial for fusion reactors. This achievement, led by Oak Ridge National Laboratory, Cleveland Clinic, and IBM, addresses the challenge of developing sustainable fusion energy by enabling precise modeling of FLiBe’s role in tritium breeding and heat transfer. Efficient tritium production is essential for a self-sustaining fuel cycle in fusion power plants. The project is part of the DOE’s Genesis Mission, which integrates high-performance computing, AI, and quantum computing to accelerate scientific discovery.