1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2026
A Hamiltonian-Inspired Local-Operator Ansatz for Slimming Large Language Models
Ying Lu, Peng-Fei Zhou, Qi-Xuan Fang +3
Dense linear maps carry much of the parameter and computational burden of modern neural networks, yet their dense form leaves the organization of learned couplings implicit. Quantu…
quant-ph2025
Matrix-product entanglement characterizing the optimality of state-preparation quantum circuits
Shuo Qi, Wen-Jun Li, Gang Su +1
Multipartite entanglement offers a powerful framework for understanding the complex collective phenomena in quantum many-body systems that are often beyond the description of conve…
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…