Episode 91 of The Quantum Computing Podcast explores how quantum computers are being used to design more efficient nuclear fusion reactors. Lucas and Luna examine a specific case from a collaboration between Commonwealth Fusion Systems and a quantum computing startup, discussing how quantum simulations of plasma turbulence could reduce the size and cost of fusion reactors. They explain why classical computers struggle with magnetohydrodynamics, how quantum algorithms can model particle interactions in a tokamak, and what milestones the industry needs to hit before this becomes commercially viable. The hosts also touch on the broader implications for clean energy and the timeline for practical fusion power.

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