Explore the challenges and opportunities in quantum learning during the era of noisy quantum computation in this lecture from Harvard University's Yihui Quek. Delve into a unifying framework for error mitigation and its limitations as system sizes increase. Discover how current error mitigation schemes compare to theoretical limits. Examine the surprising benefits of non-unital noise in quantum machine learning, particularly in avoiding barren plateaus. Gain insights into the complex interplay between signal and noise in quantum circuits and other chaotic systems.