Explores Neuromorphic Computing with Artificial Spin Systems, discussing the need for new computing paradigms and the potential of artificial spin systems for neuromorphic computing applications.
Explores the applications and challenges of Neural Quantum States in computational quantum science, including frustrated spins and quantum chemistry mappings.
Explores the application of statistical physics in computational problems, covering topics such as Bayesian inference, mean-field spin glass models, and compressed sensing.
Delves into fragmentation in spin ice systems, covering magnetic ice rules, monopole vacuum, emergent gauge fields, topological defects, and quantum Monte Carlo simulations.
