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Title:

Neural Wave Functions for Superfluids

Document type:
Zeitschriftenaufsatz
Author(s):
Wan Tong Lou, Halvard Sutterud, Gino Cassella, W. M. C. Foulkes, Johannes Knolle, David Pfau, and James S. Spencer
Abstract:
Understanding superfluidity remains a major goal of condensed matter physics. Here, we tackle this challenge utilizing the recently developed fermionic neural network (FermiNet) wave function Ansatz [D. Pfau et al., Phys. Rev. Res. 2, 033429 (2020).] for variational Monte Carlo calculations. We study the unitary Fermi gas, a system with strong, short-range, two-body interactions known to possess a superfluid ground state but difficult to describe quantitatively. We demonstrate key limitations of...     »
Journal title:
Phys. Rev. X 14, 021030 2024-05
Year:
2024
Year / month:
2024-05
Language:
en
Fulltext / DOI:
doi:10.1103/PhysRevX.14.021030
WWW:
https://journals.aps.org/prx/abstract/10.1103/PhysRevX.14.021030
Publisher:
American Physical Society APS
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