Empowering Deep Neural Quantum States Through Efficient Optimization
Offered By: ICTP Condensed Matter and Statistical Physics via YouTube
Course Description
Overview
Explore a cutting-edge lecture on enhancing deep neural quantum states through advanced optimization techniques. Delve into the innovative research presented by Ao Chen from the University of Augsburg, as he discusses strategies to empower quantum state representations using neural networks. Gain insights into the intersection of quantum physics and machine learning, and discover how efficient optimization methods can revolutionize the field of quantum computation and simulation.
Syllabus
Empowering deep neural quantum states through efficient optimization
Taught by
ICTP Condensed Matter and Statistical Physics
Related Courses
Topology in Condensed Matter: Tying Quantum KnotsDelft University of Technology via edX Atomic and Optical Physics Iā Part 3: Atom-Light Interactions 1 -- Matrix elements and quantized field
Massachusetts Institute of Technology via edX Atomic and Optical Physics I ā Part 5: Coherence
Massachusetts Institute of Technology via edX Atomic and Optical Physics: Quantum States and Dynamics of Photons
Massachusetts Institute of Technology via edX Atomic and Optical Physics: Atom-photon interactions
Massachusetts Institute of Technology via edX