In this episode of The Quantum Computing Podcast, Lucas and Luna explore how quantum algorithms are revolutionizing supply chain logistics. They dive into a real-world case: DHL's pilot project with quantum startup QuantumBasel to optimize last-mile delivery routes in Berlin. Lucas explains how quantum computers can solve the 'traveling salesman problem' for 1,000-plus delivery points simultaneously, reducing fuel costs by 12 percent in early trials. They discuss the hardware challenges — current noisy intermediate-scale quantum (NISQ) devices versus the fault-tolerant machines needed for full-scale logistics — and the hybrid classical-quantum approaches companies are using today. Luna asks about the timeline for industry-wide adoption and whether competitors like UPS and Amazon are investing in similar technology. By the end, you'll understand why quantum supply chain optimization is expected to save the shipping industry $2 billion annually by 2030.

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