Author

L. De Lathauwer

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Preprint Sep 2026

Sparse Approximation via Polynomial Equations

We consider the problem of finding sparse solutions of an underdetermined linear system $Ax=b$. In contrast to conventional approaches based on greedy algorithms or convex relaxation, we reformulate sparse approximation as a structured system of polynomial equations and connect with the literature on tensor methods. We...

Matija Tomić, Raphaël Widdershoven, L. De Lathauwer · 0 citations

#machine learning Preprint Sep 2026

A Block Tensor Train Burer-Monteiro Framework for Low-Rank Quantum State Tomography

Quantum state tomography is a fundamental technique for estimating the state of a quantum system from measured data and plays a crucial role in evaluating the performance of quantum devices. However, standard estimation methods become computationally prohibitive as the system size increases due to the exponential growt...

Shakir Showkat Sofi, Charlotte Vermeylen, Fatemeh Mohammadi et al. · 0 citations