Episode 22 of Quantum Computing Business with Fexingo explores how quantum computers are starting to simulate climate systems in ways classical machines can't. Lucas and Luna examine a specific case: D-Wave's recent work with a European energy grid operator to optimize renewable energy integration using quantum annealing. They break down why climate modeling is a natural fit for quantum — massive variables, chaotic systems, and the need for probabilistic forecasting. Along the way, they discuss the limits: qubit counts, noise, and the gap between toy problems and real-world climate policy. A tight, concrete look at a fresh angle the show hasn't touched yet.

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