Assistant Professor · Shanghai Jiao Tong University

Xiao, Tailong (肖太龙)

I study quantum artificial intelligence for efficient quantum-system learning, intelligent quantum sensing, and AI-enhanced optical computing and imaging.

Affiliation
School of Automation and Intelligent Sensing, Shanghai Jiao Tong University
Institute
Institute for Quantum Sensing and Information Processing (QSIP)
Laboratory
State Key Laboratory of Photonics and Communications · Hefei National Laboratory (Shanghai Research Center for Quantum Sciences)
Office
SJTU SEIEE building (电院) 5-205
Google Scholar CV GitHub ResearchGate QSIP

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 in 2023. From Oct. 2023, I have joined Shanghai Jiao Tong University as an Assistant Professor.

My work focuses on using modern AI techniques to address frontier problems in quantum science, including efficient learning of quantum systems, quantum circuit optimization, error mitigation and correction, and quantum-computing-based AI algorithms for sensing and imaging.

News & Talks

Latest 20 updates, newest first.

  1. I presented a talk at the 2025 Quantum Technology Frontier Summit on Sep. 21, 2025.Academic Committee · Oral presentation

Research

Quantum Artificial Intelligence

Learning, control, optimization, and generative modeling for quantum systems and programmable quantum circuits.

Intelligent Quantum Sensing

Machine-learning-assisted parameter estimation, adaptive sensing, and reinforcement-learning strategies near fundamental limits.

AI-Enhanced Optical Computing and Imaging

Quantum and neural approaches to ghost imaging, optical modulation, computational imaging, and scattering-media reconstruction.

Selected Publications

Selected journal papers. For the complete and automatically updated publication list, please visit my Google Scholar.

  1. Toward Heisenberg Limit without Critical Slowing Down via Quantum Reinforcement Learning.

    Hang Xu, Tailong Xiao, Jingzheng Huang, et al. Physical Review Letters, 2025.

  2. Quantum neural compressive sensing for ghost imaging.

    Xinliang Zhai, Tailong Xiao, Jingzheng Huang, Jianping Fan, Guihua Zeng. Physical Review Applied, 2025.

  3. Quantum deep generative prior with programmable quantum circuits.

    Tailong Xiao, Xinliang Zhai, Jingzheng Huang, Jianping Fan, Guihua Zeng. Communications Physics, 2024.

Teaching

Engineering Practice and Technological Innovation II (EE0503), offered every spring semester. Topic: An Introduction to Quantum Artificial Intelligence for second-year undergraduates.

Learning material: Understanding Quantum Information and Computation (PDF).

Academic Service

Roles

Executive Committee Member, CCF Technical Committee on Quantum Computing.

Editorial Work

Guest Editor, Special Issue on Quantum Computing and Quantum Information Processing, Entropy. Editorial Board Member, Scientific Reports.

Reviewer

Physical Review journals, PRX Quantum, New Journal of Physics, Quantum Science and Technology, npj Quantum Information, Scientific Data, Scientific Reports, Optica Quantum, Optics Express, and related venues.

Education

  • Ph.D., Information and Communication EngineeringShanghai Jiao Tong University · 06.2023
  • B.E., Communication EngineeringCentral South University · 06.2018

Honors include CCF Outstanding Doctoral Dissertation in Quantum Computing (2024), Outstanding Graduate (2023), SKL First-class Scholarship (2022), National prizes in the CCF Sinan Cup (2021, 2022), Yangjiachi Scholarship (2019), National Scholarship (2017), and Hunan Provincial Outstanding Graduate (2018).