Zoom link; password: 999112

Abstract: I will present recent progress in building a rigorous theory for understanding how scientists, machines, and future quantum computers could learn models of our inherently quantum universe. The talk will include mathematical results answering two fundamental questions at the intersection of machine learning and quantum physics: Can classical machines learn to solve challenging problems in quantum physics? Can quantum machines learn exponentially faster than classical machines?

Research Interests: Quantum information, learning theory, quantum many-body physics, quantum complexity theory.