Variational Quantum Algorithms for Trace Distance and Fidelity Estimation. - Ranyiliu Chen; Zhixin Song; Xuanqiang Zhao; Xin Wang 022 (CoRR, 2020)

LOCCNet: a machine learning framework for distributed quantum information processing. - Xuanqiang Zhao; Benchi Zhao; Zihe Wang; Zhixin Song; Xin Wang 022 (CoRR, 2021)

Concentration of Data Encoding in Parameterized Quantum Circuits. - Guangxi Li; Ruilin Ye; Xuanqiang Zhao; Xin Wang 022 (NeurIPS, 2022)

Optimal quantum dataset for learning a unitary transformation. - Zhan Yu; Xuanqiang Zhao; Benchi Zhao; Xin Wang 022 (CoRR, 2022)

Quantum Self-Attention Neural Networks for Text Classification. - Guangxi Li; Xuanqiang Zhao; Xin Wang 022 (CoRR, 2022)

Information recoverability of noisy quantum states. - Xuanqiang Zhao; Benchi Zhao; Zihan Xia; Xin Wang 022 (Quantum, 2023)

Quantum self-attention neural networks for text classification. - Guangxi Li; Xuanqiang Zhao; Xin Wang (Sci. China Inf. Sci., 2024)

Classical Communication Cost of a Bipartite Quantum Channel Assisted by Non-Signaling Correlations. - Chengkai Zhu; Xuanqiang Zhao; Xin Wang 022 (IEEE Trans. Inf. Theory, 2025)