Neural network quantum states analysis of the Shastry-Sutherland model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F23%3A00580185" target="_blank" >RIV/68378271:_____/23:00580185 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/23:10473725
Result on the web
<a href="https://hdl.handle.net/11104/0348949" target="_blank" >https://hdl.handle.net/11104/0348949</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21468/SciPostPhysCore.6.4.088" target="_blank" >10.21468/SciPostPhysCore.6.4.088</a>
Alternative languages
Result language
angličtina
Original language name
Neural network quantum states analysis of the Shastry-Sutherland model
Original language description
We utilize neural network quantum states (NQS) to investigate the ground state properties of the Heisenberg model on a Shastry-Sutherland lattice using the variational Monte Carlo method. We show that already relatively simple NQSs can be used to approximate the ground state of this model in its different phases and regimes. We first compare several types of NQSs with each other on small lattices and benchmark their variational energies against the exact diagonalization results. We argue that when precision, generality, and computational costs are taken into account, a good choice for addressing larger systems is a shallow restricted Boltzmann machine NQS. We then show that such NQS can describe the main phases of the model in zero magnetic field. Moreover, NQS based on a restricted Boltzmann machine correctly describes the intriguing plateaus forming in magnetization of the model as a function of increasing magnetic field.n
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10302 - Condensed matter physics (including formerly solid state physics, supercond.)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Scipost Physics Core
ISSN
2666-9366
e-ISSN
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Volume of the periodical
6
Issue of the periodical within the volume
4
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
31
Pages from-to
088
UT code for WoS article
001133004500001
EID of the result in the Scopus database
2-s2.0-85182346560