A cheaper way to fix errors in quantum chaos simulations?

Fixing errors in quantum computers usually means running deeper, slower circuits — which just introduces more errors. By exploiting the statistical regularity of 'quantum chaos' circuits, this technique diagnoses and corrects depolarizing noise using only gate benchmarking data and cheap randomization, with zero additional two-qubit gates. Tests on IBM's Fez processor show meaningful fidelity gains, making it practically useful for simulating black hole dynamics and disordered spin systems.