52 citations · 83 across the 3 of their papers we have counts for
4 papers
Gaussian Universality and Its Breakdown in Tensor-Network Machine Learning
Shi-Tuan Wang, Zidu Liu, Li-Wei Yu
Gaussian-process limits are powerful in describing overparameterized machine learning models, yet their validity in structured tensor-network architectures remains unclear. Here we…
Theory on variational high-dimensional tensor networks
Zidu Liu, Qi Ye, Li-Wei Yu +2
Tensor network methods are powerful tools for studying quantum many-body systems. In this paper, we investigate the emergent statistical properties of random high-dimensional tenso…
Quantum Capsule Networks
Zidu Liu, Pei-Xin Shen, Weikang Li +2
Capsule networks, which incorporate the paradigms of connectionism and symbolism, have brought fresh insights into artificial intelligence. The capsule, as the building block of ca…
The Presence and Absence of Barren Plateaus in Tensor-network Based Machine Learning
Zidu Liu, Li-Wei Yu, L. -M. Duan +1
Tensor networks are efficient representations of high-dimensional tensors with widespread applications in quantum many-body physics. Recently, they have been adapted to the field o…