Episode
How Quantum Computing Is Optimizing Carbon Capture
- Published
- Jul 8, 2026
- Duration seconds
- 514
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Summary
In this episode, Lucas and Luna dive into the surprising role quantum computing is playing in carbon capture technology. They explore how researchers at a Swiss startup are using quantum algorithms to simulate metal-organic frameworks (MOFs) — porous materials that trap CO2 molecules. Lucas breaks down the specific computational challenge: classical supercomputers struggle to model the quantum mechanical interactions between CO2 and MOF surfaces beyond a few hundred atoms, but early quantum simulations at 50 logical qubits have already identified a new candidate material that binds CO2 40% more efficiently. Luna asks the skeptical question — how close is this to real-world deployment? — and Lucas walks through the timeline: current lab-scale validation, a pilot reactor planned for 2028, and the billion-dollar scale-up hurdle. The episode grounds abstract quantum promise in a tangible climate tech use case, with specific numbers and a concrete company name. #QuantumComputing #CarbonCapture #ClimateTech #MOFs #QuantumSimulation #SwissStartup #CO2Removal #MaterialScience #QuantumAlgorithms #LogicalQubits #CarbonEngineering #DirectAirCapture #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #CleanTech #DeepTech #Sustainability Keep every episode free: buymeacoffee.com/fexingo