1 citations · 1 across the 2 of their papers we have counts for
2 papers
quant-ph2026
SeeMPS: A Python-based Matrix Product State and Tensor Train Library
Paula García-Molina, Juan José Rodríguez-Aldavero, Jorge Gidi +1
We introduce SeeMPS, a Python library dedicated to implementing tensor network algorithms based on the well-known Matrix Product States (MPS) and Quantized Tensor Train (QTT) forma…
quant-ph2024★ 1 cited
Pseudospectral method for solving PDEs using Matrix Product States
Jorge Gidi, Paula García-Molina, Luca Tagliacozzo +1
This research focuses on solving time-dependent partial differential equations (PDEs), in particular the time-dependent Schrödinger equation, using matrix product states (MPS). We…