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Variational Optimization for Quantum Problems using Deep Generative Networks
Optimization is one of the keystones of modern science and engineering.
Quantifying Unknown Quantum Entanglement via a Hybrid Quantum-Classical Machine Learning Framework
Quantifying unknown quantum entanglement experimentally is a difficult task, but also becomes more and more necessary because of the fast development of quantum engineering.
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