Alya Pujalte

Alya Pujalte is a Master’s student in theoretical physics at EPFL (École Polytechnique Fédérale de Lausanne).

Her research interests include tensor network methods, condensed matter physics, quantum many-body systems, and machine learning approaches to topological quantum physics.

She has worked on DMRG analyses of low-energy excitations in anisotropic spin chains and on machine-learning studies of the Toric Code.

At the Ueda Group, she is engaged in research on tensor networks, quantum many-body physics, and quantum-classical hybrid computation.