In Episode 144, Todd Brun, Professor of Electrical Engineering, Computer Science, and Physics at the University of Southern California, returns to break down where quantum error correction stands today. The team cover the transition from theoretical thresholds to real experimental demonstrations, why decoding latency matters as much as code quality, and the counterintuitive insight at the heart of quantum error correction — that you can measure what went wrong without measuring the data itself. Todd also weighs in on the trade-offs between modalities when it comes to implementing error correction in hardware, and closes with a look at how far the field has come since the early nineties when quantum computing was just an idea.