Mao-Sheng Li

collaborators

3 papers

nucl-th2026

Efficient emulation of nuclear ground states with neural-network variational Monte Carlo and eigenvector continuation

Mao Li, Yilong Yang, Pengwei Zhao

An efficient emulator for \emph{ab initio} calculations of nuclear ground-state properties is developed by integrating the neural-network variational Monte Carlo framework, Feynman…

quant-ph2026

A Dynamical Lie-Algebraic Framework for Hamiltonian Engineering and Quantum Control

Yanying Liang, Ruibin Xu, Mao-Sheng Li +2

Determining the unitary dynamics accessible from finite Hamiltonian resources is a central problem in Hamiltonian engineering and quantum control. Dynamical Lie algebras (DLAs) con…

quant-ph2025

Local unitary classification of sets of generalized Bell states in $C^{d} \otimes C^{d}$

Cai-Hong Wang, Jiang-Tao Yuan, Mao-Sheng Li +2

Two sets of quantum entangled states that are equivalent under local unitary transformations may exhibit identical effectiveness and versatility in various quantum information proc…

Efficient emulation of nuclear ground states with neural-network variational Monte Carlo and eigenvector continuation

A Dynamical Lie-Algebraic Framework for Hamiltonian Engineering and Quantum Control

Local unitary classification of sets of generalized Bell states in Cd⊗Cd

Local unitary classification of sets of generalized Bell states in $C^{d} \otimes C^{d}$