Curriculum vitae

Current position

PhD Student in Physics
Department of Physics, National Tsing Hua University, Hsinchu, Taiwan

Research profile

Theoretical and computational many-body physics; critical phenomena; machine learning for physics; generative modeling and scientific sampling; quantum and geometric structures; lattice field theory; scientific computing.

Academic profiles

• Google Scholar
• ORCID
• GitHub
• LinkedIn

Publications & preprints

• Channel concentration of critical quantum geometry — Qian-Rui Lee, Daw-Wei Wang. Preprint, arXiv:2609.24905 [cond-mat.stat-mech], 2026.

• Efficient identification of critical regions via Flow Matching–based Monte Carlo initialization — Qian-Rui Lee, Daw-Wei Wang. Journal article, Machine Learning: Science and Technology, 2026.

• Automatic Characterization of Fluxonium Superconducting Qubits Parameters with Deep Transfer Learning — Huan-Hsuan Kung, Chen-Yu Liu, Qian-Rui Lee, Chiang-Yuan Hu, Yu-Chi Chang, Ching-Yeh Chen, Daw-Wei Wang, Yen-Hsiang Lin. Preprint, arXiv:2503.12099, 2025.

Technical & pedagogical notes

• From ADM Geometrodynamics to Ashtekar Connection Dynamics: A Compact Pedagogical Abstract-Index Derivation — Zenodo technical note, 2026.

Selected research software

• Channel Concentration Companion — Versioned code, data, and figure regeneration for the channel-concentration preprint.

• Flow-to-Field — Flow Matching as a reusable, physically informed initializer for Monte Carlo simulations of many-body systems.

• Lattice-gauge-equivariant-CNN — A modular lattice-gauge-equivariant CNN framework with U(1) and SU(2) demonstrations and explicit mathematical structure.

• Lattice-Field-MCMC-GPU — GPU-accelerated Markov-chain Monte Carlo notebooks for lattice field and spin models, including 2D phi^4, Ising, Potts, and XY systems.