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Shi-Ju Ran

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Universal replication of chaotic characteristics by classical and quantum machine learning

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May 14, 2024
Sheng-Chen Bai, Shi-Ju Ran

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Tensor networks for interpretable and efficient quantum-inspired machine learning

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Nov 19, 2023
Shi-Ju Ran, Gang Su

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Persistent Ballistic Entanglement Spreading with Optimal Control in Quantum Spin Chains

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Jul 21, 2023
Ying Lu, Pei Shi, Xiao-Han Wang, Jie Hu, Shi-Ju Ran

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Compressing neural network by tensor network with exponentially fewer variational parameters

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May 10, 2023
Yong Qing, Peng-Fei Zhou, Ke Li, Shi-Ju Ran

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Intelligent diagnostic scheme for lung cancer screening with Raman spectra data by tensor network machine learning

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Mar 11, 2023
Yu-Jia An, Sheng-Chen Bai, Lin Cheng, Xiao-Guang Li, Cheng-en Wang, Xiao-Dong Han, Gang Su, Shi-Ju Ran, Cong Wang

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Deep Machine Learning Reconstructing Lattice Topology with Strong Thermal Fluctuations

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Aug 08, 2022
Xiao-Han Wang, Pei Shi, Bin Xi, Jie Hu, Shi-Ju Ran

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Unsupervised Recognition of Informative Features via Tensor Network Machine Learning and Quantum Entanglement Variations

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Jul 13, 2022
Sheng-Chen Bai, Yi-Cheng Tang, Shi-Ju Ran

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Circuit encapsulation for efficient quantum computing based on controlled many-body dynamics

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Mar 29, 2022
Ying Lu, Peng-Fei Zhou, Shao-Ming Fei, Shi-Ju Ran

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Non-parametric Active Learning and Rate Reduction in Many-body Hilbert Space with Rescaled Logarithmic Fidelity

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Jul 01, 2021
Wei-Ming Li, Shi-Ju Ran

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Predicting Quantum Potentials by Deep Neural Network and Metropolis Sampling

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Jun 06, 2021
Rui Hong, Peng-Fei Zhou, Bin Xi, Jie Hu, An-Chun Ji, Shi-Ju Ran

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