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  Autoregressive neural quantum states of Fermi Hubbard models

Ibarra-Garcia-Padilla, E., Lange, H., Melko, R. G., Scalettar, R. T., Carrasquilla, J., Bohrdt, A., et al. (2025). Autoregressive neural quantum states of Fermi Hubbard models. Physical Review Research, 7: 013122. doi:10.1103/PhysRevResearch.7.013122.

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 Creators:
Ibarra-Garcia-Padilla, Eduardo1, Author
Lange, Hannah2, 3, 4, Author           
Melko, Roger G.1, Author
Scalettar, Richard T.1, Author
Carrasquilla, Juan1, Author
Bohrdt , Annabelle3, Author
Khatami, Ehsan1, Author
Affiliations:
1external, ou_persistent22              
2Theory, Max Planck Institute of Quantum Optics, Max Planck Society, ou_1445571              
3MCQST - Munich Center for Quantum Science and Technology, External Organizations, Schellingstraße 4, 80799 München, DE, ou_3330166              
4IMPRS (International Max Planck Research School), Max Planck Institute of Quantum Optics, Max Planck Society, ou_3164443              

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Language(s): eng - English
 Dates: 2024-11-092025-01-132025-02-032025-02
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1103/PhysRevResearch.7.013122
Other: 6682
 Degree: -

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Project name : EXC-2111—390814868
Grant ID : -
Funding program : Germany's Excellence Strategy
Funding organization : Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)

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Title: Physical Review Research
  Abbreviation : Phys. Rev. Research
Source Genre: Journal
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Publ. Info: College Park, Maryland, United States : American Physical Society (APS)
Pages: - Volume / Issue: 7 Sequence Number: 013122 Start / End Page: - Identifier: ISSN: 2643-1564
CoNE: https://pure.mpg.de/cone/journals/resource/2643-1564