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pro vyhledávání: '"Tibaldi, Simone"'
The use of Neural Networks in quantum many-body theory has seen a formidable rise in recent years. Among the many possible applications, one surely is to make use of their pattern recognition power when dealing with the study of equilibrium phase dia
Externí odkaz:
http://arxiv.org/abs/2412.02458
The imputation of missing data is a common procedure in data analysis that consists in predicting missing values of incomplete data points. In this work we analyse a variational quantum circuit for the imputation of missing data. We construct variati
Externí odkaz:
http://arxiv.org/abs/2405.04367
The Quantum Approximate Optimization Algorithm (QAOA) adopts a hybrid quantum-classical approach to find approximate solutions to variational optimization problems. In fact, it relies on a classical subroutine to optimize the parameters of a quantum
Externí odkaz:
http://arxiv.org/abs/2209.03824
Publikováno v:
SciPost Phys. 14, 005 (2023)
The recent advances in machine learning algorithms have boosted the application of these techniques to the field of condensed matter physics, in order e.g. to classify the phases of matter at equilibrium or to predict the real-time dynamics of a larg
Externí odkaz:
http://arxiv.org/abs/2202.09281
Akademický článek
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