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Found 2 papers, 1 papers with code
Finding Quantum Critical Points with Neural-Network Quantum States
Finding the precise location of quantum critical points is of particular importance to characterise quantum many-body systems at zero temperature.
Engineering quantum current states with machine learning
With our approach, quantum current states characterized by a single winding number or entangled currents with two winding numbers can be prepared superseding the existing protocols.
Quantum Physics Mesoscale and Nanoscale Physics Quantum Gases
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