Ramón Lorenzo Panadés-Barrueta

Software Engineer

Algorithmiq•  January 2024 - Present

Implement high-performance, hybrid quantum-classical algorithms utilizing tensor-network methods in Python

Computational Scientist

TU Dresden•  August 2021 - December 2023

Developing high-performance many-body perturbation theory algorithms. Strong skill set in software development, including proficiency in C, Python, and Fortran programming languages and a deep understanding of high-performance computing libraries such as CUDA, OpenMP, MPI, and (Sca)LAPACK.

Computational scientist

Univeristy of Twente•  November 2020 - July 2021

As a member of the TREX CoE team, I was actively engaged in advancing the state-of-the-art in quantum chemistry simulation through the development of highly efficient quantum Monte Carlo algorithms. Our goal was to create a cutting-edge, open-source software solutions that would be well-suited for the demands of next-generation exascale computing architectures.