collaborators

27 papers

math.OC2026

Sums of squares in polynomial time

Nikolas Gärtner, Victor Magron, Frank Vallentin

In this paper, we analyze the bit complexity of deciding whether a given polynomial can be represented as a sum of squares of polynomials. We show that the weak membership problem…

math.OC2026

Mixtures Closest to a Given Measure: A Semidefinite Programming Approach

Srećko ĐuraÅ¡inović, Srećko Đurašinović, Jean-Bernard Lasserre +1

Mixture models, such as Gaussian mixture models, are widely used in machine learning to represent complex data distributions. A key challenge, especially in high-dimensional settin…

math.OC2026

Convergence rates for polynomial optimization on set products

Victor Magron

We consider polynomial optimization problems on Cartesian products of basic compact semialgebraic sets. The solution of such problems can be approximated as closely as desired by h…

quant-ph2026

The bulk spectral gap is semi-decidable: a convergent family of certified upper bounds

Xiangling Xu, Matthias Schötz, Jie Wang +4

Determining spectral gaps in the thermodynamic limit is a central challenge in quantum many-body physics. Existing rigorous methods are largely limited to special settings, while v…

quant-ph2026

Quantitative semidefinite certificates for ground-state energies of Pauli Hamiltonians

Igor Klep, Nando Leijenhorst, Victor Magron

The -local Hamiltonian problem is a central model for quantum many-body systems and Hamiltonian complexity. Semidefinite programming and noncommutative sum-of-squares hierarchie…

math.OC2026

Duality attainment and strict feasibility of the generalized moment problem and its relaxations

Sami Halaseh, Victor Magron, Mateusz Skomra

The generalized moment problem (GMP) is an infinite dimensional linear problem over the cone of finite nonnegative Borel measures. When a GMP instance involves finitely many polyno…