Explore the intricacies of neural-network quantum states' optimization landscape in this 49-minute lecture presented by Agnes Valenti from ETH Zurich. Delve into the complex interplay between quantum mechanics and machine learning as the speaker examines the challenges and opportunities in optimizing neural networks for quantum state representation. Gain insights into cutting-edge research at the intersection of condensed matter physics, statistical physics, and artificial intelligence.
Investigating the Optimization Landscape of Neural-Network Quantum States
ICTP Condensed Matter and Statistical Physics via YouTube
Overview
Syllabus
Investigating the optimization landscape of neural-network quantum states
Taught by
ICTP Condensed Matter and Statistical Physics
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