Commuting quantum circuits: efficient classical simulations versus hardness results. - Xiaotong Ni; Maarten Van den Nest (Quantum Inf. Comput., 2013)

Using Recurrent Neural Networks to Optimize Dynamical Decoupling for Quantum Memory. - Moritz August; Xiaotong Ni (CoRR, 2016)

Scalable Neural Network Decoders for Higher Dimensional Quantum Codes. - Nikolas P. Breuckmann; Xiaotong Ni (Quantum, 2018)

Neural Network Decoders for Large-Distance 2D Toric Codes. - Xiaotong Ni (Quantum, 2020)

Integrating Quantum Processor Device and Control Optimization in a Gradient-based Framework. - Xiaotong Ni; Hui-Hai Zhao; Lei Wang; Feng Wu; Jianxin Chen (CoRR, 2021)

Efficient parallelization of tensor network contraction for simulating quantum computation. - Cupjin Huang; Fang Zhang; Michael Newman; Xiaotong Ni; Dawei Ding 002; Junjie Cai; Xun Gao; Tenghui Wang; Feng Wu; Gengyan Zhang; Hsiang-Sheng Ku; Zhengxiong Tian; et al. (Nat. Comput. Sci., 2021)

A Classical Architecture For Digital Quantum Computers. - Fang Zhang; Xing Zhu; Rui Chao; Cupjin Huang; Linghang Kong; Guoyang Chen; Dawei Ding 002; Haishan Feng; Yihuai Gao; Xiaotong Ni; Liwei Qiu; Zhe Wei; et al. (CoRR, 2023)

Spatiotemporal Distribution of Inscription Sites in Henan Province. - Yuhang Zhang; Jiaji Gao; Xiaotong Ni (ISPRS Int. J. Geo Inf., 2024)

SuperGrad: a differentiable simulator for superconducting processors. - Ziang Wang; Feng Wu; Hui-Hai Zhao; Xin Wan; Xiaotong Ni (Quantum, 2025)