Kryzz Joshua de Leon
Kryzz graduated from the BS Applied Physics program in 2019 with the support of a DOST-SEI RA 7687 Undergraduate S&T Scholarship. His undergraduate thesis focused on parallelization of the density matrix renormalization group with the matrix product state ansatz. He is pursuing a career in data science and is currently an analyst for a company that provides business communications solutions.
TensorFlow implementation of singular value decomposition in the density matrix renormalization group