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QSIP

Xiao, Tailong (肖太龙)

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Assistant Professor
School of Automation and Intelligent Sensing, Shanghai Jiao Tong University
Institute for Quantum Sensing and Information Processing (QSIP)
State Key Laboratory of Photonics and Communications
Hefei National Laboratory, Shanghai Research Center for Quantum Sciences
E-mail: tailong_shaw@sjtu.edu.cn
Address: SJTU SEIEE building (电院) 5-205

About me

I received the B.E. degree from Central South University in 2018, and the Doctor degree from Shanghai Jiao Tong University under the supervision of Prof. Guihua Zeng (曾贵华), in 2023.
From 2023.10, I have joined Shanghai Jiao Tong University as an Assistant Professor.

As a researcher in Quantum Artificial Intelligence (QAI), I am committed to leveraging advanced AI technologies to address frontier quantum problems such as how to efficiently learn quantum systems, how to acclerate quantum circuit optimization, error mitigation and correction. Besides, I am also conducting research on quantum computing based AI algorithms and their applications in quantum sensing and image processing.

Seeking self-motivated Master's/PhD candidates! Research areas align with the above-mentioned directions. CVs welcome!

招募有自驱力的本科生、硕士和博士生，研究方向以上述方向为主，欢迎简历投递！

Research

Research interests

  • Quantum Artificial Intelligence (QAI)

  • Machine Learning

  • Intelligent Quantum Sensing

  • AI-enhanced optical computing and imaging

Recent News

  • The 4th Youth Symposium on Quantum Computing | Oral Presentation | Aug. 12, 2025

  • CCF Quantum Computing Conference 2025 | Invited Presentation | Jul. 22, 2025

  • Global Artificial Intelligence Technology Conference 2025 | Invited Presentation | Jun. 6, 2025

  • Fourth National Conference on Electronic Information Materials and Devices | Oral Presentation | Apr. 19, 2025

  • CCF Quantum Computing Doctoral Forum Combined with the Third "Rising Star" Young Scholars Forum | Oral Presentation | Nov. 27, 2024

  • Advanced Photonics Forum: Intelligent Photonics | Invited Presentation | Nov. 2024

  • Shandong University | Invited Presentation to the Baoqing Sun Group: "Research on Quantum Machine Learning Algorithms and Their Advantages" | Sep. 2024

  • Hangzhou Fuyang First International Conference on Optoelectronic Integration Technology | Invited Presentation: "Research on Machine Learning Ghost Imaging and Practical Advantages" | May 2024

  • Nanjing University of Information Science & Technology | Invited Presentation to the Wenjie Liu Group: "Research on Quantum Machine Learning Algorithms and Applications" | May 2024

Publications

  1. Xu H, Xiao T*, Huang J, et al. Toward Heisenberg Limit without Critical Slowing Down via Quantum Reinforcement Learning[J]. Physical Review Letters, 2025, 134(12): 120803.

  2. Xiao, T, Zhai, X., Huang, J. et al. Quantum deep generative prior with programmable quantum circuits. Commun Phys 7, 276 (2024). https://doi.org/10.1038/s42005-024-01765-9.

  3. Zhai, X., Xiao, T*, Huang, J., Fan, J. & Zeng, G. Quantum neural compressive sensing for ghost imaging. Phys. Rev. Appl. 23, 014018 (2025). https://doi.org/10.1103/PhysRevApplied.23.014018.

  4. Xiao, T, Zhai, X., Wu, X. et al. Practical advantage of quantum machine learning in ghost imaging. Commun Phys 6, 171 (2023). https://doi.org/10.1038/s42005-023-01290-1.

  5. Xiao, T, Huang, J., Li, H., Fan, J., Zeng, G. Quantum generative adversarial imitation learning. New Journal of Physics, 2023, 25(3): 033034.

  6. Xiao, T, Fan, J. & Zeng, G. Parameter estimation in quantum sensing based on deep reinforcement learning. npj Quantum Inf 8, 2 (2022). https://doi.org/10.1038/s41534-021-00513-z.

  7. Xiao, T, Huang, J., Li, H. et al. Intelligent certification for quantum simulators via machine learning. npj Quantum Inf 8, 138 (2022). https://doi.org/10.1038/s41534-022-00649-6.

  8. Xiao, T, Bai, D., Fan, J., Zeng, G. Quantum Boltzmann machine algorithm with dimension-expanded equivalent Hamiltonian[J]. Physical Review A, 2020, 101(3): 032304.

  9. Xiao, T, Huang, J., Fan, J. et al. Continuous-variable Quantum Phase Estimation based on Machine Learning. Sci Rep 9, 12410 (2019). https://doi.org/10.1038/s41598-019-48551-0.

  10. Li Y, Song Q, Xiao T*, et al. Neural network enhanced time-varying parameter estimation via weak measurement[J]. Optics Express, 2024, 32(16): 27358-27372.

  11. Li Z* , Xiao T*, Deng X, et al. Optimizing Variational Quantum Neural Networks Based on Collective Intelligence[J]. Mathematics, 2024, 12(11): 1627.

  12. Zhu Y, Xiao T*, Zeng G, et al. Controlling Unknown Quantum States via Data-Driven State Representations[J]. arXiv preprint arXiv:2406.05711, 2024.

  13. Tang Y, Xiong H, Yang N, Xiao T, et al. Towards LLM4QPE: Unsupervised pretraining of quantum property estimation and a benchmark[C]//The Twelfth International Conference on Learning Representations. 2024.

  14. Zhai X, Wu X, Xiao T, et al. Robust superresolution computational imaging with diffuser-refined illumination[J]. Physical Review Applied, 2023, 20(6): 064002.

  15. Tan X, Li H, Song Q, Xiao T, et al. Enhanced sensitivity via polarization switching in fiber-based quantum sensing[J]. Physical Review Applied, 2023, 20(4): 044020.

  16. Xia B, Huang J, Li H, Liu M, Xiao T, et al. Ultrasensitive measurement of angular rotations via a Hermite-Gaussian pointer[J]. Photonics Research, 2022, 10(12): 2816-2827.

  17. Song Q, Li H, Huang J, Xiao T, et al. Adaptive time-varying parameter estimation via weak measurement[J]. Physical Review Applied, 2022, 18(4): 044031.

  18. Song Q, Xia B, Huang J, Xiao T, et al. Surpassing the nyquist sampling limit via postmodulation[J]. Physical Review Applied, 2022, 18(3): 034077.

  19. Zhao D, Huang J Z, Xiao T, et al. Type of non-reciprocity in a fiber Sagnac interferometer induced by geometric phases[J]. Optics Express, 2021, 30(1): 12-21.

  20. Wang G, Li H, Xiao T, et al. Adaptive correction of phase estimation with time based on weak measurement[J]. Optics Express, 2021, 29(24): 39150-39158.

  21. Fang C, Xia B, Huang J Z, Xiao T, et al. Hamiltonian estimation based on adaptive weak value amplification[J]. Journal of Physics B: Atomic, Molecular and Optical Physics, 2021, 54(7): 075501.

  22. Bai D, Huang P, Zhu Y, ... Xiao T, et al. Unidimensional continuous-variable measurement-device-independent quantum key distribution[J]. Quantum Information Processing, 2020, 19: 1-21.

  23. Qi H, Liu F, Xiao T*, et al. A robust and energy-efficient weighted clustering algorithm on mobile ad hoc sensor networks[J]. Algorithms, 2018, 11(8): 116.

Note: * indicates the corresponding author.

Full list of publications in Google Scholar.

Academic service

Executive Committee Member, CCF Technical Committee on Quantum Computing

Editorial Work

  • Guest Editor of the Special Issue: Quantum Computing and Quantum Information Processing.

    See Special Issue.

  • Editorial Board Member of Scientific Reports.

Reviewer

  • Physical Review Letters/Applied/Research/A

  • PRX Quantum

  • New Journal of Physics/Quantum Science and Technology/JPA/Machine Learning: Science and Technology/European Journal of Physics

  • Scientific Reports

  • Quantum Information Processing

  • Optica Quantum/Optics Express/Optics Letters

Projects

  1. National Natural Science Foundation of China (NSFC) Young Scientists Fund Project, 2025-2027, 300,000 CNY.

  2. Lenovo-SJTU Joint Lab Project, 2024-2025, 600,000 CNY.

  3. Shanghai Jiao Tong University Young Scholars Project, 2023-2026, 50,000 CNY.

  4. CCF-Boson Quantum Innovation Fund for Quantum Computing Applications, 2025.03-2025.08, 150,000 CNY.

  5. National Key Laboratory Open Research Program, 2025-2026, 100,000 CNY.

Teaching

  1. Engineering Practice and Technological Innovation II (EE0503), An Introduction to Quantum Artificial Intelligence, Undergraduate (grade two), Spring 2025.


Learning materials of quantum information and computation.

Education

B.E., Communication Engineering, Central South University, 06.2018

  • National Scholarship, 2017

  • Exemplary Outstanding Student, 2017

  • Hunan Provincial Outstanding Graduate, 2018

Ph.D., Information and Communication Engineering, Shanghai Jiao Tong University, 06.2023

  • Yangjiachi Scholarship, 2019

  • National Second Prize, CCF Sinan Cup, 2021

  • First-class Scholarship of SKL (Photonics and communications), 2022

  • National First Prize, CCF Sinan Cup, 2022

  • Outstanding Graduate, 2023

  • CCF Outstanding Doctoral Dissertation in Quantum Computing, 2024