Episode 16 of The Quantum Computing Podcast looks at how quantum computers are beginning to tackle climate modeling. Lucas and Luna focus on a 2026 proof-of-concept study where researchers at a European lab used a 127-qubit processor to simulate atmospheric carbon capture at a molecular level. They discuss why classical supercomputers struggle with these calculations, the specific algorithm that made the simulation possible, and what the results—published just last month—mean for climate science and investment in quantum hardware. The hosts also touch on why this application might attract government funding faster than drug discovery or finance. No hype, just the numbers and the science.

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