Episode 76 of The Quantum Computing Podcast dives into the emerging field of error mitigation — a practical middle ground between noisy quantum processors and full fault-tolerant quantum computing. Lucas and Luna unpack why even today's imperfect 100-qubit machines can produce useful results when noise is handled statistically, not just corrected. They discuss IBM's recent work on probabilistic error cancellation, Google's zero-noise extrapolation, and how companies like Quantinuum and IonQ are racing to make NISQ devices commercially relevant. Specific numbers: a recent experiment showed error mitigation reduced computation error rates from 10% to under 1% on a superconducting processor. The hosts explore what this means for near-term quantum advantage in chemistry, optimization, and materials science. No fluff — just a concrete look at how quantum computing is actually being used right now.

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