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Persistent Ballistic Entanglement Spreading with Optimal Control in Quantum Spin Chains
Entanglement propagation provides a key routine to understand quantum many-body dynamics in and out of equilibrium.
Deep Machine Learning Reconstructing Lattice Topology with Strong Thermal Fluctuations
In this work, we demonstrate the validity of the deep convolutional neural network (CNN) on reconstructing the lattice topology (i. e., spin connectivities) in the presence of strong thermal fluctuations and unbalanced data.
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