Supply chains are notoriously chaotic—disruptions ripple across continents, and traditional optimization breaks down under real-world constraints. In this episode, Lucas and Luna explore how quantum computing is beginning to tackle supply chain complexity, focusing on a 2025 pilot by Volkswagen that used a hybrid quantum-classical solver to route spare parts across European warehouses. They unpack why classical algorithms struggle with multi-echelon inventory problems, how quantum annealers and variational circuits offer a different approach, and what the current hardware limitations mean for deployment today. The conversation covers specific benchmarks: a 127-qubit IBM processor versus a commercial solver, cost savings in the range of 3–5 percent for logistics networks, and why the biggest wins may come from combining quantum with classical heuristics rather than going pure quantum. Listeners will come away understanding the near-term promise and the hard problems that remain—no hype, just the actual state of play as of mid-2026.

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