Ming Wang

About Me

Ming Wang (王铭) is a Ph.D. student in Computer Science at North Carolina State University, where he studies coding theory and its applications to quantum computing. His research focuses on qLDPC code design, efficient decoding algorithms, and practical approaches to quantum error correction.

Outside research, he enjoys playing piano and transcribing music from video games into sheet music in his spare time. (YouTube Channel, Bilibili Channel, Musescore)

What’s New?

October 9, 2026: Our new preprint, GPU-Based Parallel BP Decoding for Quantum LDPC Memory, is now available on arXiv. We extend BP-SF with a CUDA implementation and sliding-window and streaming decoding for quantum LDPC memory.

We’re delighted to announce the initial release of LightStim, a framework for evaluating and prototyping quantum error correction protocols. LightStim automates detector error model construction, making it easier to build simulation workflows for QEC experiments. For details, see our paper.

Education

Publications

Google Scholar

Neural BP-based decoders for high-density parity-check codes

  1. Ming Wang, Yong Li, Rui Liu, Huihui Wu, Youqiang Hu, & Francis C. M. Lau.
    “Decoding Quadratic Residue Codes Using Deep Neural Networks.”
    Electronics, 11(17), 2717, 2022.
  2. Ming Wang, Yong Li, Jianqing Liu, Taolin Guo, Huihui Wu, & Francis C. M. Lau.
    “Neural Layered Min-Sum Decoders for Cyclic Codes.”
    Physical Communication, 61, 102194, 2023.
  3. Xuesong Han, Rui Liu, Yong Li, Chen Yi, Jiguang He, & Ming Wang.
    “Accelerating Neural BP-Based Decoder Using Coded Distributed Computing.”
    IEEE Transactions on Vehicular Technology, 2024.

Quantum Error Correction

  1. Ming Wang & Frank Mueller.
    “Rate Adjustable Bivariate Bicycle Codes for Quantum Error Correction.”
    2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 2024.
  2. Ming Wang & Frank Mueller.
    “Coprime Bivariate Bicycle Codes and Their Layouts on Cold Atoms.”
    Quantum, 10, 2009, 2026.
  3. John Stack, Ming Wang, & Frank Mueller.
    “Transversal Fault Tolerant Distributed Quantum Computing Operations.”
    Nature Communications, 2026.
  4. Ming Wang, Ang Li, & Frank Mueller.
    “Fully Parallelized BP Decoding for Quantum LDPC Codes Can Outperform BP-OSD.”
    2026 IEEE International Symposium on High Performance Computer Architecture (HPCA), 2026.
  5. Xiang Fang, Ming Wang, Yue Wu, Sharanya Prabhu, Dean Tullsen, Narasinga Rao Miniskar, Frank Mueller, Travis Humble, & Yufei Ding.
    “LightStim: A Framework for QEC Protocol Evaluation and Prototyping with Automated DEM Construction.”
    arXiv:2604.21472, 2026.
  6. Ming Wang, Yanbo Zhao, Ang Li, & Frank Mueller.
    “GPU-Based Parallel BP Decoding for Quantum LDPC Memory.”
    arXiv:2610.13879, 2026. PDF.

Sheet Music

Selected sheet music transcribed or arranged by me. Some of them come with visualizations which can be found on Bilibili.

Elysium

Without love, it cannot be seen.