Episode 73 of The Quantum Computing Podcast explores how quantum computers are beginning to address the molecular simulation challenges that have long stalled pharmaceutical R&D. Lucas and Luna break down the specific bottleneck: classical computers cannot accurately simulate electron correlation in transition-metal catalysts and protein active sites — a problem quantum computers are uniquely suited to solve. They discuss recent results from a collaboration between a major pharma company and a quantum startup that achieved a chemically meaningful simulation of a cytochrome P450 enzyme active site using a 127-qubit processor. The episode covers why this matters for drug metabolism prediction, how error mitigation made the simulation possible, and the timeline for quantum-aided drug design to enter real discovery pipelines. No hype — just a grounded look at where quantum computing meets medicinal chemistry.

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