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October 9, 2025Open Access

Neural Network-Augmented Pfaffian Wave-functions for Scalable Simulations of Interacting Fermions

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Authors

ACAo ChenZWZhou‐Quan WanASAnirvan M. Sengupta

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Overview

This research demonstrates that the hidden fermion Pfaffian state effectively captures superconducting phases in fermion systems, suggesting its potential utility for quantum simulations.

Key Points

  • HFPS achieves state-of-the-art variational accuracy in simulating interacting fermions, enhancing insights into superconductivity.
  • Utilizing neural quantum states, HFPS represents both unpaired and superconducting phases with efficient scaling for large systems.
  • This work highlights the importance of accurately modeling fermionic quasiparticle orbitals using Pfaffian wave-functions.
  • Numerical experiments successfully validate HFPS in both attractive and repulsive Hubbard model regimes, capturing critical pairing symmetries.

Cite This Study

Chen et al. (2025) studied this question.

synapsesocial.com/papers/68e8439a9989581a2fd4e333https://doi.org/10.48550/arxiv.2507.10705
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