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Frustrated Heisenberg Models, Possibly Treated With Neural-Network Wave Functions - Federico Becca

Kavli Institute for Theoretical Physics via YouTube

Overview

Explore a 44-minute conference talk on frustrated Heisenberg models and their potential treatment with neural-network wave functions. Delivered by Federico Becca from the University of Trieste, this presentation was part of the Dynamical Response and Transport in Quantum Magnets conference held at the Kavli Institute for Theoretical Physics in August 2023. Delve into recent advancements in quantum magnetism, including the emergence of low-energy quantum gauge theories and their impact on collective phenomena in quantum magnets. Gain insights into the search for novel topologically-ordered states of matter, computational and measurement techniques for dynamical and transport properties, and the roles of disorder and spin-phonon interactions. Discover the implications of emergent-electrodynamics in topological spin textures, unusual dynamics in integrable systems, and the revolutionary impact of Moiré systems on 2D quantum magnetism.

Syllabus

Frustrated heisenberg models, possibly treated with neural-network... â–¸ Federico Becca (U Trieste)

Taught by

Kavli Institute for Theoretical Physics

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