176 citations · 1.4k across the 70 of their papers we have counts for
4 papers · 2 filters
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-…
Eigenstate Thermalization and its breakdown in Quantum Spin Chains with Inhomogeneous Interactions
Ding-Zu Wang, Hao Zhu, Jian Cui +5
The eigenstate thermalization hypothesis (ETH) is a successful theory that establishes the criteria for ergodicity and thermalization in isolated quantum many-body systems. In this…
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…
Persistent Ballistic Entanglement Spreading with Optimal Control in Quantum Spin Chains
Ying Lu, Pei Shi, Xiao-Han Wang +2
Entanglement propagation provides a key routine to understand quantum many-body dynamics in and out of equilibrium. The entanglement entropy (EE) usually approaches to a sub-satura…