Wan-Hsuan Lin

Wan-Hsuan Lin

Ph.D. student at UCLA Computer Science Department

About me

This is Wan-Hsuan’s home on the web.

I am a Ph.D. student affiliated with VAST lab at the University of California, Los Angeles. I received a Bachelor degree in Electrical Engineering from National Taiwan University in 2021. My research interests are quantum computing, automata theory, and physical design.

Education

  • B.S. in Electrical Engineering, National Taiwan University, 2021
  • M.S. in Computer Science, University of California, Los Angeles, 2024
  • Ph.D in Computer Science, University of California, Los Angeles, Present

Publications

  • Bochen Tan, Wan-Hsuan Lin, and Jason Cong, “Compilation for Dynamically Field-Programmable Qubit Arrays with Efficient and Provably Near-Optimal Scheduling,” in Proceedings of IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2025
  • Chen-Chia Chang, Wan-Hsuan Lin, Jingyu Pan, Guanglei Zhou, Zhiyao Xie, Jiang Hu, and Yiran Chen, “PRICING: Privacy-Preserving Circuit Data Sharing for Lithographic Hotspot Detection,” in Proceedings of IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2025
  • Atefeh Sohrabizadeh, Wan-Hsuan Lin, Bochen Tan, Madelyn Cain, Sheng-Tao Wang, Mikhail D. Lukin, and J. Cong, “GNN-Based Performance Prediction of Quantum Optimization of Maximum Independent Set,” in Proceedings of IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2024.
  • Wan-Hsuan Lin, Jason Kimko, Bochen Tan, Nikolaj Bjorner, and Jason Cong, “Scalable Optimal Layout Synthesis for NISQ Quantum Processors,” Proceedings of ACM/IEEE Design Automation Conference (DAC), 2023
  • Wan-Hsuan Lin, Bochen Tan, Murphy Yuezhen Niu, Jason Kimko, and Jason Cong, “Domain-Specific Quantum Architecture Optimization,” Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2022
  • Wan-Hsuan Lin, Chia-Hsuan Su, and Jie-Hong Roland Jiang, “Language Equation Solving via Boolean Automata Manipulation,” Proceedings of IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2022
  • Wan-Hsuan Lin, Chia-Hsuan Su, and Jie-Hong Roland Jiang, “Language Equation Solving via Boolean Automata Manipulation,” International Workshop on Logic & Synthesis (IWLS), 2022. [Best Paper Nomination]
  • Wei-Hsiang Tseng, Chen-Hao Hsu, Wan-Hsuan Lin, and Yao-Wen Chang, “A Bridge-based Compression Algorithm for Topological Quantum Circuits,” IEEE Transactions on Computer-Aided Design of Integrated Circuits ans Systems (TCAD), 2022.
  • Chen-Hao Hsu, Wan-Hsuan Lin, Wei-Hsiang Tseng, and Yao-Wen Chang, “A Bridge-based Compression Algorithm for Topological Quantum Circuits,” Proceedings of ACM/IEEE Design Automation Conference (DAC), 2021.
  • Yu-Neng Wang, Yun-Rong Luo, Po-Chun Chien, Ping-Lun Wang, Hao-Ren Wang, Wan-Hsuan Lin, “Compatible Equivalence Checking of X-Valued Circuits,” Proceedings of IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2021.

Peprints

  • Wan-Hsuan Lin and Jason Cong, “ML-QLS: Multilevel Quantum Layout Synthesis,” arXiv:2405.18371.

Teaching

  • CS 32: Introduction to Computer Science II, Undergraduate course, UCLA, Computer Science Department, 2023
  • Introduction to Electronic Design Automation, Undergraduate course, National Taiwan University, Electrical Engineering Department, 2021
  • Algorithms, Undergraduate course, National Taiwan University, Electrical Engineering Department, 2020

Work experience

  • Jan. 2022 - Present: Graduate Student Researcher
    • VAST Lab, University of California, Los Angeles
    • Adivisor: Professor Jason Cong
  • Jun. 2019 - Nov. 2021: Undergraduate Research Student
    • ALCom Lab, National Taiwan University
    • Adivisor: Professor Jie-Hong R. Jiang
  • Feb. 2020 - Oct. 2021: Undergraduate Research Student
    • EDA Lab, National Taiwan University
    • Adivisor: Professor Yao-Wen Chang
  • Sep. 2018 - Jan. 2019: Undergraduate Research Student
    • Speech Processing and Machine Learning Lab, National Taiwan University
    • Adivisor: Professor Hung-yi Lee

Honors & Awards

  • Top 10 - 2021 IEEE/ACM ICCAD CAD Contest - Problem B
  • College Student Research Creativity Award - 2021 Ministry of Science and Technology
  • College Student Research Scholarship - 2020 Ministry of Science and Technology
  • Macronix Science Scholarship - 2018 Macronix Education Foundation

Skills

  • Programming languages
    • C/C++, Python, Verilog, Matlab
  • Deep Learning Toolkits
    • Pytorch, Tensorflow
  • Quantum Programming Toolkits
    • Qiskit, Cirq

Talks

Projects