Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks. - Hao-Kai Zhang; Chenghong Zhu; Mingrui Jing; Xin Wang 022 (NeurIPS, 2023)

Efficient information recovery from Pauli noise via classical shadow. - Yifei Chen; Zhan Yu; Chenghong Zhu; Xin Wang 022 (CoRR, 2023)

Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks. - Haokai Zhang; Chenghong Zhu; Mingrui Jing; Xin Wang 022 (CoRR, 2023)

Reversible Entanglement Beyond Quantum Operations. - Xin Wang 022; Yu-Ao Chen; Lei Zhang; Chenghong Zhu (CoRR, 2023)

Entanglement cost of discriminating quantum states under locality constraints. - Chenghong Zhu; Chengkai Zhu; Zhiping Liu; Xin Wang (ISIT, 2024)

Hypothesis testing of symmetry in quantum dynamics. - Yu-Ao Chen; Chenghong Zhu; Keming He; Yingjian Liu; Xin Wang (CoRR, 2024)

BOSS: Blocking algorithm for optimizing shuttling scheduling in Ion Trap. - Xian Wu; Chenghong Zhu; Jingbo Wang; Xin Wang (CoRR, 2024)

Estimate Distillable Entanglement and Quantum Capacity by Squeezing Useless Entanglement. - Chengkai Zhu; Chenghong Zhu; Xin Wang 022 (IEEE J. Sel. Areas Commun., 2024)

BOSS: Blocking algorithm for optimizing shuttling scheduling in Ion Trap. - Xian Wu; Chenghong Zhu; Jingbo Wang; Xin Wang 022 (HPCA, 2025)

S-SYNC: Shuttle and Swap Co-Optimization in Quantum Charge-Coupled Devices. - Chenghong Zhu; Xian Wu; Jingbo Wang; Xin Wang 022 (ISCA, 2025)

Predicting symmetries of quantum dynamics with optimal samples. - Masahito Hayashi; Yu-Ao Chen; Chenghong Zhu; Xin Wang (CoRR, 2025)

PHOENIX: Pauli-Based High-Level Optimization Engine for Instruction Execution on NISQ Devices. - Zhaohui Yang; Dawei Ding; Chenghong Zhu; Jianxin Chen; Yuan Xie (CoRR, 2025)

Entanglement Cost of Discriminating Quantum States Under Locality Constraints. - Chenghong Zhu; Chengkai Zhu; Zhiping Liu; Xin Wang 022 (IEEE Trans. Inf. Theory, 2025)

A quest toward comprehensive benchmarking of quantum computing software. - Chenghong Zhu; Lei Zhang; Xin Wang 022 (Nat. Comput. Sci., 2025)