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Investigating the Optimization Landscape of Neural-Network Quantum States

Offered By: ICTP Condensed Matter and Statistical Physics via YouTube

Tags

Quantum Physics Courses Machine Learning Courses Quantum Mechanics Courses Neural Networks Courses Computational Physics Courses Quantum States Courses Quantum Many-body Systems Courses

Course Description

Overview

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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.

Syllabus

Investigating the optimization landscape of neural-network quantum states


Taught by

ICTP Condensed Matter and Statistical Physics

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