In this episode of The Quantum Computing Podcast, Lucas and Luna dive deep into quantum error correction, the field's single biggest technical challenge. They explain why qubits are inherently error-prone, how surface codes and logical qubits work, and why a recent milestone from a startup called QuEra—demonstrating a logical gate with neutral atoms—could be more important than raw qubit count. Lucas breaks down the math behind the overhead ratio: how many physical qubits it takes to create one logical qubit, and why that number is dropping. Luna asks the practical questions: when does this get us to useful quantum computers? They also discuss IBM's 2029 roadmap and what the 'quantum utility' milestone actually means. No hype, no vaporware—just a clear-eyed look at what has to happen before quantum computing changes anything.

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