25 citations · 65 across the 7 of their papers we have counts for
7 papers
Tensor networks for interpretable and efficient quantum-inspired machine learning
Shi-Ju Ran, Gang Su
It is a critical challenge to simultaneously gain high interpretability and efficiency with the current schemes of deep machine learning (ML). Tensor network (TN), which is a well-…
Efficient Quantum Mixed-State Tomography with Unsupervised Tensor Network Machine Learning
Wen-jun Li, Kai Xu, Heng Fan +2
Quantum state tomography (QST) is plagued by the ``curse of dimensionality'' due to the exponentially-scaled complexity in measurement and data post-processing. Efficient QST schem…
Intelligent diagnostic scheme for lung cancer screening with Raman spectra data by tensor network machine learning
Yu-Jia An, Sheng-Chen Bai, Lin Cheng +6
Artificial intelligence (AI) has brought tremendous impacts on biomedical sciences from academic researches to clinical applications, such as in biomarkers' detection and diagnosis…
Unsupervised Recognition of Informative Features via Tensor Network Machine Learning and Quantum Entanglement Variations
Sheng-Chen Bai, Yi-Cheng Tang, Shi-Ju Ran
Given an image of a white shoe drawn on a blackboard, how are the white pixels deemed (say by human minds) to be informative for recognizing the shoe without any labeling informati…
Deep Machine Learning Reconstructing Lattice Topology with Strong Thermal Fluctuations
Xiao-Han Wang, Pei Shi, Bin Xi +2
Applying artificial intelligence to scientific problems (namely AI for science) is currently under hot debate. However, the scientific problems differ much from the conventional on…
Identification of Degeneracy and Criticality of Two-Dimensional Statistical and Quantum Systems by the Boundary States of Tensor Networks
Shi-Ju Ran, Cheng Peng, Wei Li +1
We propose a systematic scheme to reach the properties of two-dimensional (2D) statistical and quantum systems by studying the effective (1+1)-dimensional theory that is constructe…