Research Interest

I hope to deepen my understanding of quantum many-body problems arising from chemistry, physics, and materials science by combining modern computational approaches with their mathematical foundations.

My current research efforts are directed toward topics such as (1) electronic structure theory, (2) open quantum systems and dissipative state engineering, and (3) scientific computing methods for many-body physics.

Publications and Preprints

Preprints

arXiv webpage

  • HL, Lin Lin, “Dissipative quantum algorithms for excited-state quantum chemistry” [arXiv:2512.19870]
  • Rundi Lu, HL, Zhengwei Liu, Jin-Peng Liu, “Infinite-dimensional Extension of the Linear Combination of Hamiltonian Simulation: Theorems and Applications” [arXiv:2502.19688]

Peer-reviewed Papers

  • HL, Yongtao Zhan, Lin Lin, “Dissipative ground state preparation in ab initio electronic structure theory” npj Quantum Inf. 2025, 11, 183. [arXiv:2411.01470] [doi]

  • Jia-Cheng Huang*, HL*, Yi-Cheng Wang, Guang-Ze Zhang, Jun Li, Han-Shi Hu, “Towards robust variational quantum simulation of Lindblad dynamics via stochastic Magnus expansion” PRX Quantum 2025, 6, 040312. [arXiv:2503.22099] [doi]

  • HL, Xiang Li, Jia-Cheng Huang, Guang-Ze Zhang, Zhu-Ping Shen, Chen Zhao, Jun Li, Han-Shi Hu, “Variational Quantum Imaginary Time Evolution for Matrix Product State Ansatz with Tests on Transcorrelated Hamiltonians” J. Chem. Phys. 2024, 161, 144104. [arXiv:2407.10523] [doi]
  • Xiang Li, Jia-Cheng Huang, Guang-Ze Zhang, HL, Zhu-Ping Shen, Chen Zhao, Jun Li, Han-Shi Hu, “Improved Optimization for the Neural-network Quantum States and Tests on the Chromium Dimer” J. Chem. Phys. 2024, 160, 231402. [arXiv:2404.09280] [doi]
  • Xiang Li, Jia-Cheng Huang, Guang-Ze Zhang, HL, Chang-Su Cao, Dingshun Lv, Han-Shi Hu, “A Nonstochastic Optimization Algorithm for Neural-Network Quantum States” J. Chem. Theory Comput. 2023, 19, 8156. [arXiv:2305.12776] [doi]