Signal and Noise - Learning with Random Quantum Circuits and Other Agents of Chaos

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.