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Latest works
- High-Resolution Tensor-Network Fourier Methods for Exponentially Compressed Non-Gaussian Aggregate Distributions, Juan José Rodríguez-Aldavero, Juan José García-Ripoll, arXiv:2603.23106
- SeeMPS: A Python-based Matrix Product State and Tensor Train Library, Paula García-Molina, Juan José Rodríguez-Aldavero, Jorge Gidi, Juan José García-Ripoll, arXiv:2601.16734
- Chebyshev approximation and composition of functions in matrix product states for quantum-inspired numerical analysis, Juan José Rodríguez-Aldavero, Paula García-Molina, Luca Tagliacozzo, Juan José García-Ripoll, arXiv:2407.09609, Linear Algebra and its Applications 752, 278-307 (2026)