Preprints

1. Jialiang Tang, Junhong Nie, Keming He, Xin Wang, & Xiaoming Sun. (2026). Nearly Optimal T-Count for Symmetry-Based Quantum State Purification.

   PDF Link BIB

   @misc{tang2026_purification,
     title = {Nearly Optimal T-Count for Symmetry-Based Quantum State Purification},
     author = {Tang, Jialiang and Nie, Junhong and He, Keming and Wang, Xin and Sun, Xiaoming},
     year = {2026},
     eprint = {2610.12098},
     archiveprefix = {arXiv},
     primaryclass = {quant-ph},
     file = {Purification.pdf},
     url = {https://arxiv.org/abs/2610.12098}
   }
   

Refereed Journal Articles

1. Jialiang Tang, Jialin Zhang, & Xiaoming Sun. (2025). Quantum circuit synthesis with SQiSW. Quantum, 9, 1889.

   PDF Link BIB

   @article{tang2025_sqisw,
     title = {Quantum circuit synthesis with SQiSW},
     volume = {9},
     issn = {2521-327X},
     url = {http://dx.doi.org/10.22331/q-2025-10-20-1889},
     doi = {10.22331/q-2025-10-20-1889},
     journal = {Quantum},
     publisher = {Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften},
     author = {Tang, Jialiang and Zhang, Jialin and Sun, Xiaoming},
     year = {2025},
     file = {sqisw.pdf},
     month = oct,
     pages = {1889}
   }
   

Refereed Conference Proceedings

1. Jialiang Tang, Jialin Zhang, & Xiaoming Sun. (2026). SAQNN: Spectral Adaptive Quantum Neural Network as a Universal Approximator. Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), 306, 119423–119442.

   PDF Link BIB

   @inproceedings{tang2026_saqnn,
     title = {{SAQNN}: Spectral Adaptive Quantum Neural Network as a Universal Approximator},
     author = {Tang, Jialiang and Zhang, Jialin and Sun, Xiaoming},
     booktitle = {Proceedings of the 43rd International Conference on Machine Learning (ICML 2026)},
     pages = {119423--119442},
     year = {2026},
     volume = {306},
     series = {Proceedings of Machine Learning Research},
     month = {06--11 Jul},
     publisher = {PMLR},
     file = {saqnn.pdf},
     url = {https://proceedings.mlr.press/v306/tang26af.html}
   }