31 citations · 88 across the 9 of their papers we have counts for
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cond-mat.mes-hall2022★ 11 cited
Hamiltonian inference from dynamical excitations in confined quantum magnets
Netta Karjalainen, Zina Lippo, Guangze Chen +3
Quantum-disordered models provide a versatile platform to explore the emergence of quantum excitations in many-body systems. The engineering of spin models at the atomic scale with…
quant-ph2022★ 6 cited
Modern applications of machine learning in quantum sciences
Anna Dawid, Julian Arnold, Borja Requena +26
In this book, we provide a comprehensive introduction to the most recent advances in the application of machine learning methods in quantum sciences. We cover the use of deep learn…
cond-mat.str-el2022★ 20 cited
Designing quantum many-body matter with conditional generative adversarial networks
Rouven Koch, Jose L. Lado
The computation of dynamical correlators of quantum many-body systems represents an open critical challenge in condensed matter physics. While powerful methodologies have risen in…