About: Symmetries and Many-Body Excitations with Neural-Network Quantum States

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scientific article published in Physical Review Letters

Attributes	Values
rdf:type	Item
description	artículu científicu (ast) wetenschappelijk artikel (nl) article publié dans la revue scientifique Physical Review Letters (fr) scientific article published in Physical Review Letters (en) im Oktober 2018 veröffentlichter wissenschaftlicher Artikel (de) наукова стаття, опублікована в жовтні 2018 (uk)
publication date	wds:Q58590079-8CABCE9F-409A-4DFD-9D32-6327B3C4AAF4
publication date	2018-10-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q58590079-DCA7789A-80AB-439D-AE68-71DC909867D5
language of work or name	English
author name string	wds:Q58590079-5A69AFAA-B030-4D1C-96DD-B8B9E346B660 wds:Q58590079-7EA46FD1-D8C5-481C-A5EF-11BD3FFE62DC wds:Q58590079-B7DE82F9-9D87-4580-92B7-0EDF806BAB2A
author name string	Giuseppe Carleo Titus Neupert Kenny Choo
rdfs:label	Symmetries and Many-Body Excitations with Neural-Network Quantum States (en) Symmetries and Many-Body Excitations with Neural-Network Quantum States (nl)
skos:prefLabel	Symmetries and Many-Body Excitations with Neural-Network Quantum States (en) Symmetries and Many-Body Excitations with Neural-Network Quantum States (nl)
name	Symmetries and Many-Body Excitations with Neural-Network Quantum States (en) Symmetries and Many-Body Excitations with Neural-Network Quantum States (nl)
author	wds:Q58590079-59034F22-0F27-4008-82E8-70303A57E82F
author	Nicolas Regnault
title	wds:Q58590079-4053980D-AABF-4899-883A-A0D7EACC3951
title	Symmetries and Many-Body Excitations with Neural-Network Quantum States (en)
page(s)	wds:Q58590079-03CC01E2-7E47-4B65-B4C7-D39582ECE5F5
page(s)	167204
instance of	wds:Q58590079-61A3B63D-EF07-4E76-A396-4F58C5452331
instance of	scholarly article
PubMed ID	wds:Q58590079-075FC94A-9F5A-438F-939F-0D3B2BC4E5B8
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/30387658
PubMed ID	30387658
published in	wds:Q58590079-D5C1A0C8-0DC2-4F33-A73D-341507BBD4B4
published in	Physical Review Letters
issue	wds:Q58590079-00E6A119-8BB1-462D-AF77-D2CCDC417571
volume	wds:Q58590079-D68FDD9D-A3A9-475C-B317-1D6E2E6C5CE1
issue	16
volume	121
DOI	wds:Q58590079-3698B74B-8EBE-496C-8890-9795D34F07AD
DOI	http://dx.doi.org/10.1103/PHYSREVLETT.121.167204
DOI	10.1103/PHYSREVLETT.121.167204
arXiv ID	wds:Q58590079-992694D2-32AE-47C7-80F5-C0B35CFF87E1
arXiv ID	1807.03325
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58590079
is cites work of	Continuous-variable Quantum Phase Estimation based on Machine Learning Learning the ground state of a non-stoquastic quantum Hamiltonian in a rugged neural network landscape Fermionic neural-network states for ab-initio electronic structure Generalization properties of neural network approximations to frustrated magnet ground states Supervised machine learning of ultracold atoms with speckle disorder Quantum topology identification with deep neural networks and quantum walks
is cites work of	wds:Q92913650-45BA56B0-CB14-4004-B60D-D7E812F6CCDB wds:Q94599618-E94C66F1-E4B7-4B32-9BCE-6E5BA355A55F wds:Q114045130-A22A5AAD-136E-447F-ABC5-50D293E2E67B wds:Q90713281-AB7F36BF-2F62-42DE-89A9-F7BC31B161BF wds:Q64078347-182F89D1-C259-4486-8A2D-3C277C044F9A wds:Q76650594-8421B83F-77F6-4EC3-99E6-563461B75BDB

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