25 citations · 65 across the 7 of their papers we have counts for
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quant-ph2023★ 22 cited
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-…
quant-ph2023★ 1 cited
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…
quant-ph2022★ 16 cited
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…