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05/10/2023
Compressing neural network by tensor network with exponentially fewer variational parameters
Neural network (NN) designed for challenging machine learning tasks is i...
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03/29/2022
Circuit encapsulation for efficient quantum computing based on controlled many-body dynamics
Controlling the time evolution of interacting spin systems is an importa...
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06/06/2021
Predicting Quantum Potentials by Deep Neural Network and Metropolis Sampling
The hybridizations of machine learning and quantum physics have caused e...
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06/03/2021
Preparation of Many-body Ground States by Time Evolution with Variational Microscopic Magnetic Fields and Incomplete Interactions
State preparation is of fundamental importance in quantum physics, which...
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04/30/2021