Xiao, Tailong (肖太龙)
Assistant Professor · School of Automation and Intelligent Sensing, Shanghai Jiao Tong University
About
I received the B.E. degree from Central South University in 2018, and the Ph.D. degree from Shanghai Jiao Tong University under the supervision of Prof. Guihua Zeng (曾贵华), in 2023. From Oct. 2023, 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 efficient learning of quantum systems, quantum circuit optimization, error mitigation and correction. I also work on quantum computing based AI algorithms and their applications in quantum sensing and image processing.
Research
Research interests
- Quantum Artificial Intelligence (QAI)
- Machine Learning
- Intelligent Quantum Sensing
- AI-enhanced optical computing and imaging
News
2025 Quantum Technology Frontier Summit
The 4th Youth Symposium on Quantum Computing
CCF Quantum Computing Conference 2025
News archive
Global Artificial Intelligence Technology Conference 2025
Fourth National Conference on Electronic Information Materials and Devices
CCF Quantum Computing Doctoral Forum + “Rising Star” Young Scholars Forum
Advanced Photonics Forum: Intelligent Photonics
Shandong University — Baoqing Sun Group
Hangzhou Fuyang First International Conf. on Optoelectronic Integration Tech
Nanjing University of Information Science & Technology — Wenjie Liu Group
Publications
* indicates the corresponding author. Full list available on Google Scholar.
Selected
- Xu H, Xiao T*, Huang J, et al. Toward Heisenberg Limit without Critical Slowing Down via Quantum Reinforcement Learning. Physical Review Letters, 2025.
- Xiao, T, Zhai, X., Huang, J. et al. Quantum deep generative prior with programmable quantum circuits. Communications Physics, 2024.
- Zhai, X., Xiao, T*, Huang, J., Fan, J. & Zeng, G. Quantum neural compressive sensing for ghost imaging. Physical Review Applied, 2025.
Show / hide publication list
- Xu H, Xiao T*, Huang J, et al. Toward Heisenberg Limit without Critical Slowing Down via Quantum Reinforcement Learning. Physical Review Letters, 2025, 134(12): 120803.
- 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.
- 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.
- 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.
- Xiao, T, Huang, J., Li, H., Fan, J., Zeng, G. Quantum generative adversarial imitation learning. New Journal of Physics, 2023, 25(3): 033034.
- 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.
- 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.
- Xiao, T, Bai, D., Fan, J., Zeng, G. Quantum Boltzmann machine algorithm with dimension-expanded equivalent Hamiltonian. Physical Review A, 2020, 101(3): 032304.
- 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.
- Li Y, Song Q, Xiao T*, et al. Neural network enhanced time-varying parameter estimation via weak measurement. Optics Express, 2024, 32(16): 27358-27372.
- Li Z*, Xiao T*, Deng X, et al. Optimizing Variational Quantum Neural Networks Based on Collective Intelligence. Mathematics, 2024, 12(11): 1627.
- Zhu Y, Xiao T*, Zeng G, et al. Controlling Unknown Quantum States via Data-Driven State Representations. arXiv:2406.05711, 2024.
- Tang Y, Xiong H, Yang N, Xiao T, et al. Towards LLM4QPE: Unsupervised pretraining of quantum property estimation and a benchmark. ICLR, 2024.
- Zhai X, Wu X, Xiao T, et al. Robust superresolution computational imaging with diffuser-refined illumination. Phys. Rev. Applied, 2023, 20(6): 064002.
- Tan X, Li H, Song Q, Xiao T, et al. Enhanced sensitivity via polarization switching in fiber-based quantum sensing. Phys. Rev. Applied, 2023, 20(4): 044020.
- Xia B, Huang J, Li H, Liu M, Xiao T, et al. Ultrasensitive measurement of angular rotations via a Hermite-Gaussian pointer. Photonics Research, 2022, 10(12): 2816-2827.
- Song Q, Li H, Huang J, Xiao T, et al. Adaptive time-varying parameter estimation via weak measurement. Phys. Rev. Applied, 2022, 18(4): 044031.
- Song Q, Xia B, Huang J, Xiao T, et al. Surpassing the nyquist sampling limit via postmodulation. Phys. Rev. Applied, 2022, 18(3): 034077.
- Zhao D, Huang J Z, Xiao T, et al. Type of non-reciprocity in a fiber Sagnac interferometer induced by geometric phases. Optics Express, 2021, 30(1): 12-21.
- Wang G, Li H, Xiao T, et al. Adaptive correction of phase estimation with time based on weak measurement. Optics Express, 2021, 29(24): 39150-39158.
- Fang C, Xia B, Huang J Z, Xiao T, et al. Hamiltonian estimation based on adaptive weak value amplification. J. Phys. B, 2021, 54(7): 075501.
- Bai D, Huang P, Zhu Y, ... Xiao T, et al. Unidimensional continuous-variable measurement-device-independent quantum key distribution. Quantum Information Processing, 2020, 19: 1-21.
- Qi H, Liu F, Xiao T*, et al. A robust and energy-efficient weighted clustering algorithm on mobile ad hoc sensor networks. Algorithms, 2018, 11(8): 116.
Academic Service
Roles
- Executive Committee Member, CCF Technical Committee on Quantum Computing
Editorial Work
- Guest Editor — Special Issue: Quantum Computing and Quantum Information Processing. See Special Issue.
- Editorial Board Member — 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
- npj Quantum Information; Scientific Data; Scientific Reports
- Quantum Information Processing
- Optica Quantum; Optics Express; Optics Letters
Projects
NSFC Young Scientists Fund
Lenovo–SJTU Joint Lab Project
SJTU Young Scholars Project
CCF–Boson Quantum Innovation Fund
National Key Laboratory Open Research Program
Teaching
Engineering Practice and Technological Innovation II (EE0503)
Learning materials: Understanding Quantum Information and Computation (PDF).
Education
B.E., Communication Engineering
- National Scholarship, 2017
- Exemplary Outstanding Student, 2017
- Hunan Provincial Outstanding Graduate, 2018
Ph.D., Information and Communication Engineering
- 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