AI+Quantum Science

报告人： Jin-Peng Liu (YMSC, Tsinghua)
Time & Date: 10:00-11:00, April 4 (updated)
地点： Auditorium at SIMIS (18F)

Zoom Meeting ID: 838 293 7191
Passcode: 上海数学与交叉学科研究院

摘要： AI is rapidly transforming various domains, and quantum computing has the potential to solve certain structured issues efficiently. My research intersects these two intriguing and promising fields: (1) Quantum for AI: we design the first quantum algorithm for training classical sparse neural networks, providing potential quantum enhancement at the early stage of actual learning. (2) AI for Quantum: we develop a provably efficient adiabatic learning (PEAL) algorithm for quantum-classical dynamics, with logarithmic system size sampling complexity and favorable time scaling properties.