STUDY OF NANOSTRUCTURES COUPLED WITH A SUPERCONDUCTING LEAD VIA THE NEURAL-NETWORK QUANTUM STATES METHODS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10506264" target="_blank" >RIV/00216208:11320/25:10506264 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.37904/metal.2025.5156" target="_blank" >https://doi.org/10.37904/metal.2025.5156</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.37904/metal.2025.5156" target="_blank" >10.37904/metal.2025.5156</a>
Alternative languages
Result language
angličtina
Original language name
STUDY OF NANOSTRUCTURES COUPLED WITH A SUPERCONDUCTING LEAD VIA THE NEURAL-NETWORK QUANTUM STATES METHODS
Original language description
The Neural-Network Quantum States (NNQS) method is rapidly emerging as a powerful tool for investigating quantum many-body physics. By combining variational Monte Carlo techniques with neural network-based variational functions, this approach leverages the remarkable advancements in deep learning achieved in recent years. While substantial progress has been made in simulating magnetic systems on lattices, simple molecules, and even continuous systems, the ab initio simulation of complex strongly correlated electron systems continues to pose significant challenges. With the help of the generalized atomic limit (GAL) - a recently developed model describing a system of quantum dots coupled to a superconducting lead - we attempt to show the efficiency and accuracy of NNQS, mainly the Restricted Boltzmann Machine, by comparing the acquired results to other available methods such as exact diagonalization. The simultaneous study of the system's properties such as the energy spectrum and quantum phase transitions could bring advancements in electronics, sensors or the design of high-quality qubits used in quantum computers.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10302 - Condensed matter physics (including formerly solid state physics, supercond.)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings 34th International Conference on Metallurgy and Materials
ISBN
978-80-88365-27-3
ISSN
2694-9296
e-ISSN
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Number of pages
6
Pages from-to
464-469
Publisher name
Tanger ltd.
Place of publication
Brno
Event location
Brno
Event date
May 21, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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