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arXiv · 2601.18273

Toward Scalable Normalizing Flows for the Hubbard Model

Janik Kreit·Andrea Bulgarelli·Lena Funcke·Thomas Luu·Dominic Schuh·Simran Singh·Lorenzo Verzichelli
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Abstract

Normalizing flows have recently demonstrated the ability to learn the Boltzmann distribution of the Hubbard model, opening new avenues for generative modeling in condensed matter physics. In this work, we investigate the steps required to extend such simulations to larger lattice sizes and lower temperatures, with a focus on enhancing stability and efficiency. Additionally, we present the scaling behavior of stochastic normalizing flows and non-equilibrium Markov chain Monte Carlo methods for this fermionic system.

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Janik Kreit, Andrea Bulgarelli, Lena Funcke, Thomas Luu, Dominic Schuh, Simran Singh, Lorenzo Verzichelli. 2026-01-26. Toward Scalable Normalizing Flows for the Hubbard Model. https://arxiv.org/abs/2601.18273

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