I am interested in topics broadly related to computational quantum many-body problems. Currently I mainly work on theories, simulations and algorithmic applications of dissipative dynamics.

Publications and Preprints

Preprints

arXiv webpage

  • HL, Zhen Huang, Lin Lin, “Efficient simulations of spectra and transport for multiorbital quantum impurities” [arXiv:2611.05185]
  • HL, Lin Lin, Michael Ragone, “Quantum Markov State Models for Metastable Dynamics” [arXiv:2609.40214]
  • HL*, Yilun Yang*, Lin Lin, “Dissipative phase decision without ground-state preparation” [arXiv:2606.28750]
  • 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, Lin Lin, “Dissipative quantum algorithms for excited-state quantum chemistry” J. Chem. Theory Comput. 2026, 22, 10137. [arXiv:2512.19870] [doi]

  • 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]

Softwares

C³L (Coupled-Cluster Coupled Lindblad)

C³L (Coupled-Cluster Coupled Lindblad, “C cubed L”) applies coupled-cluster theory to non-Markovian impurity dynamics. By representing bath memory with coupled Lindblad pseudomodes, it provides a scalable route to correlated steady states, dynamical Green functions, spectra, and nonequilibrium transport in multiorbital systems with general two-body interactions.

C3L on PyPI (v0.1.0, released Oct 30, 2026)

GitHub project