Quantum algorithms for escaping from saddle points. - Chenyi Zhang 003; Jiaqi Leng; Tongyang Li (Quantum, 2021)

Differentiable Analog Quantum Computing for Optimization and Control. - Jiaqi Leng; Yuxiang Peng; Yi-Ling Qiao; Ming C. Lin; Xiaodi Wu 001 (NeurIPS, 2022)

Quantum simulation of real-space dynamics. - Andrew M. Childs; Jiaqi Leng; Tongyang Li; Jin-Peng Liu; Chenyi Zhang 003 (Quantum, 2022)

Quantum Hamiltonian Descent. - Jiaqi Leng; Ethan Hickman; Joseph Li; Xiaodi Wu 001 (CoRR, 2023)

A quantum-classical performance separation in nonconvex optimization. - Jiaqi Leng; Yufan Zheng; Xiaodi Wu 001 (CoRR, 2023)

A quantum central path algorithm for linear optimization. - Brandon Augustino; Jiaqi Leng; Giacomo Nannicini; Tamás Terlaky; Xiaodi Wu 001 (CoRR, 2023)

Differentiable Quantum Computing for Large-scale Linear Control. - Connor Clayton; Jiaqi Leng; Gengzhi Yang; Yi-Ling Qiao; Ming C. Lin; Xiaodi Wu 001 (NeurIPS, 2024)

Expanding Hardware-Efficiently Manipulable Hilbert Space via Hamiltonian Embedding. - Jiaqi Leng; Joseph Li; Yuxiang Peng; Xiaodi Wu 001 (CoRR, 2024)

On the Computational Complexity of Schrödinger Operators. - Yufan Zheng; Jiaqi Leng; Yizhou Liu 001; Xiaodi Wu 001 (CoRR, 2024)

FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-from-gradients. - Jiaqi Leng; Yakun Ju; Yuanxu Duan; Jiangnan Zhang; Qingxuan Lv; Zuxuan Wu; Hao Fan 004 (AAAI, 2025)

QHDOPT: A Software for Nonlinear Optimization with Quantum Hamiltonian Descent. - Samuel Kushnir; Jiaqi Leng; Yuxiang Peng; Lei Fan 006; Xiaodi Wu 001 (INFORMS J. Comput., 2025)

FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradients. - Jiaqi Leng; Yakun Ju; Yuanxu Duan; Jiangnan Zhang; Qingxuan Lv; Zuxuan Wu; Hao Fan 004 (CoRR, 2025)

Human2Robot: Learning Robot Actions from Paired Human-Robot Videos. - Sicheng Xie; Haidong Cao; Zejia Weng; Zhen Xing; Shiwei Shen; Jiaqi Leng; Xipeng Qiu; Yanwei Fu 001; Zuxuan Wu; Yu-Gang Jiang 001 (CoRR, 2025)

(Sub)Exponential Quantum Speedup for Optimization. - Jiaqi Leng; Kewen Wu 001; Xiaodi Wu 001; Yufan Zheng (CoRR, 2025)

Random Long-Context Access for Mamba via Hardware-aligned Hierarchical Sparse Attention. - Xiang Hu; Jiaqi Leng; Jun Zhao; Kewei Tu; Wei Wu (CoRR, 2025)

Operator-Level Quantum Acceleration of Non-Logconcave Sampling. - Jiaqi Leng; Zhiyan Ding; Zherui Chen; Lin Lin (CoRR, 2025)

Quantum Optimization via Gradient-Based Hamiltonian Descent. - Jiaqi Leng; Bin Shi (CoRR, 2025)