Machine learning one-dimensional spinless trapped fermionic systems with neural-network quantum states-Reference-Cited by-同舟云学术

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Machine learning one-dimensional spinless trapped fermionic systems with neural-network quantum states

Published:2023-12-29 Issue:6 Volume:108 Page:
ISSN:2469-9926
Container-title:Physical Review A
language:en
Short-container-title:Phys. Rev. A

Author:

Keeble J. W. T.^ORCID,Drissi M.^ORCID,Rojo-Francàs A.^ORCID,Juliá-Díaz B.^ORCID,Rios A.^ORCID

Funder

Science and Technology Facilities Council

Ministerio de Ciencia e Innovación

Instituto de Ciencias del Cosmos, Universitat de Barcelona

Generalitat de Catalunya

National Research Council Canada

European Regional Development Fund

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevA.108.063320/fulltext

Reference81 articles.

1. Machine learning and the physical sciences

2. Approximation by superpositions of a sigmoidal function

3. Approximation capabilities of multilayer feedforward networks

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1. Radial and angular correlations in a confined system of two atoms in two-dimensional geometry;Quantum Information Processing;2024-07-02

2. Second-order optimization strategies for neural network quantum states;Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences;2024-06-24

3. Neural-network quantum states for ultra-cold Fermi gases;Communications Physics;2024-05-08

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