In this episode of Quantum Computing Business with Fexingo, hosts Lucas and Luna explore how quantum computing is moving into battery design and energy storage R&D. They focus on a specific case: Daimler and IBM's 2020 partnership to simulate lithium-sulfur battery chemistry on quantum hardware, and how that's evolved by mid-2026 into a broader push by automakers and battery startups to use quantum algorithms for cathode discovery, electrolyte optimization, and charging-cycle modeling. Lucas explains why classical supercomputers hit a wall with molecular simulations, and why quantum's advantage in electron correlation could cut battery R&D cycles from years to months. Luna contrasts the hype around quantum battery breakthroughs with the reality of noisy hardware and the need for hybrid classical-quantum workflows. The episode also covers the rise of quantum-as-a-service platforms tailored for materials science, and what it means for the electric vehicle supply chain. A concrete, skeptical, but forward-looking take on a niche where quantum is already delivering industrial value.

#QuantumComputing #BatteryDesign #EnergyStorage #Daimler #IBM #LithiumSulfur #ElectricVehicles #MaterialsScience #QuantumChemistry #HybridQuantumClassical #R&D #SupplyChain #BusinessAndTechnology #QuantumAsAService #Innovation #CleanTech #FexingoBusiness #BusinessPodcast

Keep every episode free: buymeacoffee.com/fexingo