Quantum algorithms for escaping from saddle points. - Chenyi Zhang 003; Jiaqi Leng 001; Tongyang Li (Quantum, 2021)

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

Quantum simulation of real-space dynamics. - Andrew M. Childs; Jiaqi Leng 001; Tongyang Li; Jin-Peng Liu; Chenyi Zhang 003 (Quantum, 2022)

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

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

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

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

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

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

Expanding Hardware-Efficiently Manipulable Hilbert Space via Hamiltonian Embedding. - Jiaqi Leng 001; Joseph Li; Yuxiang Peng; Xiaodi Wu 001 (Quantum, 2025)

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

Operator-Level Quantum Acceleration of Non-Logconcave Sampling. - Jiaqi Leng 001; Zhiyan Ding; Zherui Chen; Lin Lin 001 (CoRR, 2025)

Quantum Optimization via Gradient-Based Hamiltonian Descent. - Jiaqi Leng 001; Bin Shi (CoRR, 2025)