Explores the theory of electric polarization and orbital magnetization in condensed matter physics, focusing on quantum aspects and topological insulators.
Delves into fragmentation in spin ice systems, covering magnetic ice rules, monopole vacuum, emergent gauge fields, topological defects, and quantum Monte Carlo simulations.
Explores the applications and challenges of Neural Quantum States in computational quantum science, including frustrated spins and quantum chemistry mappings.
Covers Markov chain Monte Carlo and neural networks' role in quantum states representation and ground state approximation for frustrated spins systems.
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.
