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Efficient optimization of neural network backflow for a b i n i t i o quantum chemistry

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Year: 2025
Type: article
Source: Physical review. B./Physical review. B
DOI: 10.1103/thz7-lmdn
Authors: An-Jun Liu, Bryan K. Clark
Institutions: University of Illinois Urbana-Champaign, National Center for Supercomputing Applications, Anthony J. Leggett Institute for Condensed Matter Theory
Language: English

Topic: Quantum Computing Algorithms and Architecture
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, National Centre for Supercomputing Applications
Award: QLCI-CI: NSF Quantum Leap Challenge Institute for Hybrid Quantum Architectures and Networks
OpenAlex ID: W4416109627
FWCI: 1.649
Cites: 43
Cited by: 4
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