Mon, April 12, 2021
11:00 am - 12:00 pm
Zoom webinar
In this talk, I will first give a brief overview of three different aspects of the connection between machine learning and quantum physics. Then, the central part of this talk will focus on quantum neural networks, and especially, I will discuss how to analyze quantum neural networks from the quantum information scrambling perspective. Quantum information scrambling can be described by quantities such as the out-of-time-ordered correlator, the tripartite information, and the operator size. I will show that both the learning dynamics and the design of network architecture can be understood with the help of these quantities.
Link to talk: Watch on Zoom