Episode 74 of The Quantum Computing Podcast explores the leap from theoretical quantum error correction to real-world deployment on today's noisy hardware. Lucas and Luna break down the surface code, talk about recent experiments on Google's Sycamore processor that pushed beyond break-even, and discuss why better error correction may matter more than more qubits. They also touch on how fault-tolerant architectures could reshape the timeline for useful quantum computing. This episode cuts through the jargon to explain what error correction actually costs in qubit overhead and why it's the key to scalable quantum systems.

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