Author

Antoine Georges

2 papers indexed here

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Preprint Aug 2026

Superconductivity in the $t$-$t'$ Hubbard Model from Symmetry-Preserving Neural-Network Quantum States

Despite its fundamental importance in the theory of strongly correlated electrons, the nature of the ground state of the two-dimensional doped Hubbard model remains intensely debated. Variational approaches provide a powerful route to this problem, but their conclusions can depend sensitively on the chosen wave-functio...

Riccardo Rende, Luciano Loris Viteritti, Antoine Georges · 2 citations · ⚡1

#machine learning Preprint Sep 2026

TetrisCNN for interpretable detection of phases of matter from experimental quantum simulator data

TetrisCNN is introduced, a convolutional architecture with parallel branches of differently shaped filters, reminiscent of Tetris blocks, that learns sparse, interpretable latent representations directly in terms of spin correlators, and opens the way to integrating interpretable neural networks with quantum simulators...

Kacper Cybiński, B. V. Van Zwol, James Enouen et al. · 0 citations