Weikang Li with his camera Weikang Li李炜康

A LITTLE ABOUT ME

Weikang Li 李炜康

At the meeting point of quantum physics and machine learning.

01 /Hello, I'm Weikang.

I am Weikang Li (李炜康), a physicist working on quantum information and machine learning. I received my Ph.D. in Physics from Tsinghua University in 2025, advised by Prof. Dong-Ling Deng at the Center for Quantum Information, IIIS. Before that, I studied Applied Physics at the School of the Gifted Young, USTC, receiving my B.S. in 2020.

02 /Research interests

  • Quantum computation & quantum information
  • Quantum machine learning
  • Quantum error correction
  • Artificial intelligence

03 /Publications

Google Scholar ↗ORCID: 0000-0002-7137-5390 ↗

* Equal contribution   ·   # Corresponding author   ·   WKL = Weikang Li

Preprints 6 papers

  1. Cluster-State Witnesses of Finite-Speed Hidden Influences

    WKL#, M Hu#, DL Deng#, V Scarani#

    arXiv:2608.05271 (2026)

    arXiv

  2. Quantum error correction at ultra-low overhead

    Z Lu, WKL#, DL Deng#

    arXiv:2608.02773 (2026)

    arXiv

  3. Machine learning the arrow of time in solid-state spins

    XQ Meng*, Z Lu*, YN Lu, XY Chang, YQ Liu, D Yuan, WKL, ZZ Sun, PX Shen, LM Duan#, DL Deng#, PY Hou#

    arXiv:2603.10344 (2026)

    arXiv

  4. A Unified Frequency Principle for Quantum and Classical Machine Learning

    R Lu*, R Zhang*, WKL, Z Wei, DL Deng#, Z Liu#

    arXiv:2601.03169 (2026)

    arXiv

  5. Quantum automated learning with provable and explainable trainability

    Q Ye*, S Geng*, Z Han, WKL, LM Duan, DL Deng#

    arXiv:2502.05264 (2025)

    arXiv

  6. Improved Nonlocality Certification via Bouncing between Bell Operators and Inequalities

    WKL*, M Hu*, K Wang, S Xu, Z Lu, J Chen, Y Wu, C Zhang, F Jin, X Zhu, Y Gao, Z Cui, A Zhang, N Wang, Y Zou, F Shen, J Zhong, Z Bao, Z Zhu, P Zhang, H Li, Q Guo, Z Wang, DL Deng, C Song#, H Wang, P Emonts#, J Tura

    arXiv:2407.12347 (2024)

    arXiv

Journals 21 papers

  1. Solving excited states for long-range interacting trapped ions with neural networks

    Y Ma*, C Liu*, WKL#, SY Zhang, LM Duan, Y Wu#, DL Deng#

    Science Bulletin 71, 3881 (2026)

    PaperarXiv

  2. Demonstration of low-overhead quantum error correction codes

    K Wang*, Z Lu*, C Zhang*, G Liu, J Chen, Y Wang, Y Wu, S Xu, X Zhu, F Jin, Y Gao, Z Tan, Z Cui, N Wang, Y Zou, A Zhang, T Li, F Shen, J Zhong, Z Bao, Z Zhu, Y Han, Y He, J Shen, H Wang, JN Yang, Z Song, J Deng, H Dong, ZZ Sun, WKL, Q Ye, S Jiang, Y Ma, PX Shen, P Zhang, H Li, Q Guo, Z Wang#, C Song#, H Wang, DL Deng#

    Nature Physics 22, 308 (2026)

    PaperarXiv

  3. Experimental quantum continual learning with superconducting qubits

    C Zhang*, Z Lu*, L Zhao*, S Xu, WKL, K Wang, J Chen, Y Wu, F Jin, X Zhu, Y Gao, Z Tan, Z Cui, A Zhang, N Wang, Y Zou, T Li, F Shen, J Zhong, Z Bao, Z Zhu, Z Song, J Deng, H Dong, P Zhang, W Jiang, ZZ Sun, PX Shen, H Li, Q Guo, Z Wang, J Hao#, H Wang, DL Deng#, C Song#

    npj Quantum Information 12, 28 (2026)

    PaperarXiv

  4. Pitfalls and prospects of quantum machine learning

    WKL, Y Ma, DL Deng#

    Nature Computational Science 5, 1095 (2025)

    Paper

  5. Topological prethermal strong zero modes on superconducting processors

    F Jin*, S Jiang*, X Zhu*, Z Bao, F Shen, K Wang, Z Zhu, S Xu, Z Song, J Chen, Z Tan, Y Wu, C Zhang, Y Gao, N Wang, Y Zou, A Zhang, T Li, J Zhong, Z Cui, Y Han, Y He, H Wang, J Yang, Y Wang, J Shen, G Liu, J Deng, H Dong, P Zhang, WKL, D Yuan, Z Lu, ZZ Sun, H Li, J Zhang, C Song, Z Wang, Q Guo#, F Machado, J Kemp, T Iadecola, N Y. Yao, H Wang#, DL Deng#

    Nature 645, 626 (2025)

    PaperarXiv

  6. Probing Many-Body Bell Correlation Depth with Superconducting Qubits

    K Wang*, WKL*, S Xu*, M Hu, J Chen, Y Wu, C Zhang, F Jin, X Zhu, Y Gao, Z Tan, A Zhang, N Wang, Y Zou, T Li, F Shen, J Zhong, Z Bao, Z Zhu, Z Song, J Deng, H Dong, X Zhang, P Zhang, W Jiang, Z Lu, ZZ Sun, H Li, Q Guo, Z Wang, P Emonts, J Tura, C Song#, H Wang#, DL Deng#

    Physical Review X 15, 021024 (2025)

    PaperarXiv

  7. Quantum delegated and federated learning via quantum homomorphic encryption

    WKL, DL Deng#

    Research Directions: Quantum Technologies 3, e3 (2025)

    PaperarXiv

  8. Extracting reliable quantum outputs for noisy devices

    WKL, DL Deng#

    Nature Computational Science 4, 811 (2024)

    paper

  9. Long-lived topological time-crystalline order on a quantum processor

    L Xiang*, W Jiang*, Z Bao*, Z Song, S Xu, K Wang, J Chen, F Jin, X Zhu, Z Zhu, F Shen, N Wang, C Zhang, Y Wu, Y Zou, J Zhong, Z Cui, A Zhang, Z Tan, T Li, Y Gao, J Deng, X Zhang, H Dong, P Zhang, S Jiang, WKL, Z Lu, ZZ Sun, H Li, Z Wang, C Song, Q Guo#, F Liu, ZX Gong, A V. Gorshkov, N Y. Yao, T Iadecola, F Machado, H Wang#, DL Deng#

    Nature Communications 15, 8963 (2024)

    PaperarXiv

  10. Expressibility-induced Concentration of Quantum Neural Tangent Kernels

    LW Yu#, WKL, Q Ye, Z Lu, Z Han, and DL Deng#

    Reports on Progress in Physics 87, 110501 (2024)

    PaperarXiv

  11. Quantum-Classical Separations in Shallow-Circuit-Based Learning with and without Noises

    Z Zhang*, W Gong*, WKL, DL Deng#

    Communications Physics 7, 290 (2024)

    PaperarXiv

  12. Non-Abelian braiding of Fibonacci anyons with a superconducting processor

    S Xu*, ZZ Sun*, K Wang*, H Li, Z Zhu, H Dong, J Deng, X Zhang, J Chen, Y Wu, C Zhang, F Jin, X Zhu, Y Gao, A Zhang, N Wang, Y Zou, Z Tan, F Shen, J Zhong, Z Bao, WKL, W Jiang, LW Yu, Z Song, P Zhang, L Xiang, Q Guo, Z Wang, C Song#, H Wang#, and DL Deng#

    Nature Physics 20, 1469 (2024) (Cover Story)

    PaperarXivNews

  13. Enhancing Quantum Adversarial Robustness by Randomized Encodings

    W Gong, D Yuan#, WKL, and DL Deng#

    Physical Review Research 6, 023020 (2024)

    PaperarXiv

  14. Deep quantum neural networks on a superconducting processor

    X Pan*, Z Lu*, W Wang, Z Hua, Y Xu, WKL, W Cai, X Li, H Wang, YP Song, C-L Zou, DL Deng#, and L Sun#

    Nature Communications 14, 4006 (2023)

    PaperarXivCode&DataNews

  15. Digital Simulation of Projective Non-Abelian Anyons with 68 Superconducting Qubits

    S Xu*, ZZ Sun*, K Wang*, L Xiang, Z Bao, Z Zhu, F Shen, Z Song, P Zhang, W Ren, X Zhang, H Dong, J Deng, J Chen, Y Wu, Z Tan, Y Gao, F Jin, X Zhu, C Zhang, N Wang, Y Zou, J Zhong, A Zhang, WKL, W Jiang, L Yu, Y Yao, H Li, Z Wang, Q Guo, C Song#, H Wang#, and DL Deng#

    Chinese Physics Letters 40, 060301 (2023) (Express Letter & Cover Story)

    PaperarXivDataNews(Physics World)

  16. Quantum Capsule Networks

    Z Liu*, PX Shen*, WKL, LM Duan#, DL Deng#

    Quantum Science and Technology 8, 015016 (2022)

    PaperarXiv

  17. Experimental quantum adversarial learning with programmable superconducting qubits

    W Ren*, WKL*, S Xu*, K Wang, W Jiang, F Jin, X Zhu, J Chen, Z Song, P Zhang, H Dong, X Zhang, J Deng, Y Gao, C Zhang, Y Wu, B Zhang, Q Guo, H Li, Z Wang, J Biamonte, C Song#, DL Deng#, and H Wang#

    Nature Computational Science 2, 711 (2022) (Cover Story)

    PaperarXivCode&DataViewsNews

  18. Quantum Neural Network Classifiers: A Tutorial

    WKL#, Z Lu, and DL Deng#

    SciPost Physics Lecture Notes 61 (2022)

    PaperCode&Data

  19. Recent advances for quantum classifiers

    WKL, and DL Deng#

    SCPMA 65, 220301 (2022)

    PaperarXiv

  20. Quantum federated learning through blind quantum computing

    WKL*, S Lu*, and DL Deng#

    SCPMA 64, 100312 (2021)

    PaperarXiv

  21. Adversarial learning in quantum artificial intelligence

    PX Shen, W Jiang, WKL, Z Lu, and DL Deng#

    Acta Physica Sinica 70, 140302 (2021)

    Paper