In episode 52 of Quantum Computing Business with Fexingo, Lucas and Luna explore how quantum computing is accelerating carbon capture research. They focus on a specific case: the use of variational quantum eigensolvers (VQE) to simulate molecular interactions for novel solvents. The hosts break down a recent paper from the University of Toronto that used a 12-qubit processor to model a promising amine-based solvent, cutting simulation time from weeks to hours. They discuss the implications for industrial carbon capture, the role of hybrid quantum-classical algorithms, and what this means for companies like Shell and Carbon Engineering. Lucas also explains why quantum's advantage in this space isn't just speed but the ability to explore chemical space classical computers can't reach. The episode closes with a reflection on the long road from simulation to deployment in the climate tech sector.

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