Episode 36 of Quantum Computing Business with Fexingo dives into a fresh application: using quantum algorithms to map and mitigate supply chain disruptions. Lucas and Luna focus on a concrete case: a 2025 pilot by a major European auto manufacturer that used a quantum annealing system to re-route 12,000 shipments after a port shutdown in Rotterdam. They break down how quantum approaches combinatorial optimization differently than classical solvers, why the hybrid cloud model matters here, and what early benchmarks say about cost vs. classical alternatives. The conversation also touches on why procurement teams are starting to fund quantum proof-of-concepts as a resilience expense rather than an R&D experiment. No hype, just the numbers and the decisions behind them.

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