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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
Approximation and composition of functions in quantized tensor trains via orthogonal polynomial expansions
Juan José Rodríguez-Aldavero, Paula García-Molina, Luca Tagliacozzo +1
This work explores the representation of univariate and multivariate functions as quantized tensor trains (QTT). It develops a constructive algorithm that employs expansions in ort…