In this episode, Lucas and Luna explore how quantum computing is tackling one of the most computationally expensive problems in logistics: vehicle routing. They dive into a real-world pilot by DHL, which used a quantum-inspired algorithm from D-Wave Systems to optimize delivery routes for a fleet of 25 trucks in Berlin. The result? A 12% reduction in total distance traveled and a 9% drop in fuel costs, without any new hardware or drivers. The hosts break down why classical computers struggle with 'combinatorial explosion' as fleet sizes grow, and how quantum annealing can explore millions of route permutations simultaneously. They also discuss the limitations — current quantum hardware still has too few qubits to handle nationwide fleets, and hybrid classical-quantum approaches are the bridge for now. The episode closes with a look at what needs to happen for quantum logistics to scale: better error correction, more qubits, and tighter integration with existing supply-chain software. If you work in operations, supply chain, or logistics tech, this is the edge case to watch. #QuantumComputing #Logistics #FleetRouting #DHL #DWave #QuantumAnnealing #SupplyChain #Optimization #Berlin #LastMileDelivery #CombatorialExplosion #HybridQuantum #VehicleRoutingProblem #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #EmergingTech #QuantumBusiness Keep every episode free: buymeacoffee.com/fexingo
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