Episode 79 of The Quantum Computing Podcast explores how quantum computers are being deployed to simulate plasma behavior inside fusion reactors. Lucas and Luna discuss a specific 2026 experiment where researchers at a national lab used a 1000-qubit quantum processor to model turbulent plasma flow—reducing simulation time from weeks to under a day. They break down why fusion poses such a hard computational problem, how quantum algorithms handle magnetohydrodynamic equations differently than classical supercomputers, and what milestones are needed before quantum-assisted fusion design becomes routine. The episode also touches on the broader push from energy startups and government labs to combine quantum simulation with traditional high-performance computing. No hype, just a grounded look at where the science actually stands as of mid-2026.

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