Modern applications of machine learning in quantum sciences

Publikationstyp
Book
Date Issued
2025-06-07
Sprache
English
Author(s)
Dawid, Anna  
Arnold, Julian  
Borja Requena
Gresch, Alexander  
Quantum Inspired and Quantum Optimization E-25  
Płodzién, Marcin
Donatella, Kaelan  
Nicoli, Kim A.
Stornati, Paolo  
Koch, Rouven
Büttner, Miriam  
Okuła, Robert  
Muñoz–Gil, Gorka
Vargas–Hernández, Rodrigo A.
Cervera-Lierta Alba  
Carrasquilla, Juan
Dunjko, Vedran  
Gabrié, Marylou
Huembeli, Patrick
Nieuwenburg, Evert van  
Vicentini, Filippo  
Wang, Lei
Wetzel, Sebastian J.
Carleo, Giusepp
Greplová, Eliška
Krems, Roman
Marquard, Florian
Tomza, Michał  
Lewenstein, Macie
Dauphin, Alexandre
TORE-DOI
10.15480/882.15742
TORE-URI
https://hdl.handle.net/11420/56879
Citation
Cambridge University Press 978-1-0095-0493-5: (2025)
Publisher Link
https://doi.org/10.48550/arXiv.2204.04198
ArXiv ID
2204.04198
Publisher
Cambridge University Press
ISBN
978-1-0095-0493-5
Subjects
Quantum Physics (quant-ph) | Disordered Systems and Neural Networks (cond-mat.dis-nn) | Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
DDC Class
600: Technology
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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