Lecture
This lecture by the instructor covers the concept of quantum computational advantage, also known as quantum supremacy, discussing its importance and the challenges in achieving it. The lecture explores recent progress in quantum advantage protocols and introduces the instructor's approaches, including quantum machine learning for language translation and solving combinatorial optimization problems. The presentation delves into the complexity-theoretic foundation of quantum advantage, the linear cross-entropy benchmark, and spoofing algorithms. It also touches upon quantum advantage in neural sequence modeling and the potential for proving exponential speedup in quantum computing. The lecture concludes with a discussion on efficient verifiable quantum advantages and classical combinatorial optimization problems encoded using Rydberg atom arrays.