학술논문
Deep learning of quantum entanglement from incomplete measurements.
Document Type
Article
Author
Source
Subject
*QUANTUM entanglement
*DEEP learning
*QUANTUM correlations
*QUANTUM states
*SEMIDEFINITE programming
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Language
ISSN
2375-2548
Abstract
The article offers information on a new method using deep learning and neural networks to quantify quantum entanglement in physical systems. The approach allows for the direct quantification of quantum correlations using incomplete sets of local measurements, achieving lower quantification errors compared to state-of-the-art quantum tomography.