Author

Michele Grossi

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#machine learning Preprint Sep 2026

Weighted Quantum Signal Processing: Low-Depth Polynomial Approximation with Applications to Kolmogorov-Arnold Networks

Weighted Quantum Signal Processing is introduced, an extension of QSP in which a weight function is assigned to the central rotation operator, which provides a deeper understanding of QSP and yields expressive and parameter-efficient neural architectures, highlighting the potential of WQSP as a scalable primitive for q...

Rohit Sarma Sarkar, Rupayan Bhattacharjee, E. F. Combarro et al. · 0 citations

Preprint Jul 2026

Neural quantum states for non-Abelian lattice gauge theories with dynamical fermions

Determining the ground state of non-Abelian lattice gauge theories coupled to dynamical fermions is key to understanding confinement and the phase structure of gauge--matter systems. We present a variational Monte Carlo framework for the ground state of the untruncated fully-continuous SU$(2)$ lattice gauge theory coup...

Gabriel Rouxinol, Julian Bender, Michele Grossi et al. · 3 citations