Work

Toward Scalable Normalizing Flows for the Hubbard Model

Year: 2026

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2601.18273

Authors: Kreit, Janik, Bulgarelli, Andrea, Funcke, Lena, Luu, Thomas, Schuh, Dominic, Singh, Simran, Verzichelli, Lorenzo

Institution: University of Bonn

Topic: Quantum many-body systems

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7125826201

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