Frustrated Heisenberg Models, Possibly Treated With Neural-Network Wave Functions - Federico Becca
Kavli Institute for Theoretical Physics via YouTube
Most AI Pilots Fail to Scale. MIT Sloan Teaches You Why — and How to Fix It
Python, Prompt Engineering, Data Science — Build the Skills Employers Want Now
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
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