Solving quantum linear system problem with near-optimal complexity. - Lin Lin 001; Yu Tong 002 (CoRR, 2019)

Fast inversion, preconditioned quantum linear system solvers, and fast evaluation of matrix functions. - Yu Tong 002; Dong An; Nathan Wiebe; Lin Lin 001 (CoRR, 2020)

Optimal polynomial based quantum eigenstate filtering with application to solving quantum linear systems. - Lin Lin 001; Yu Tong 002 (Quantum, 2020)

Near-optimal ground state preparation. - Lin Lin 001; Yu Tong 002 (Quantum, 2020)

Low-Rank Representation of Tensor Network Operators with Long-Range Pairwise Interactions. - Lin Lin 001; Yu Tong 002 (SIAM J. Sci. Comput., 2021)

Ground state preparation and energy estimation on early fault-tolerant quantum computers via quantum eigenvalue transformation of unitary matrices. - Yulong Dong; Lin Lin 001; Yu Tong 002 (CoRR, 2022)

Learning many-body Hamiltonians with Heisenberg-limited scaling. - Hsin-Yuan Huang; Yu Tong 002; Di Fang 003; Yuan Su (CoRR, 2022)

On the complexity of implementing Trotter steps. - Guang Hao Low; Yuan Su; Yu Tong 002; Minh C. Tran (CoRR, 2022)

Provably accurate simulation of gauge theories and bosonic systems. - Yu Tong 002; Victor V. Albert; Jarrod R. McClean; John Preskill; Yuan Su (Quantum, 2022)

Time-marching based quantum solvers for time-dependent linear differential equations. - Di Fang 003; Lin Lin 001; Yu Tong 002 (Quantum, 2023)

Stochastic Error Cancellation in Analog Quantum Simulation. - Yiyi Cai; Yu Tong 002; John Preskill (TQC, 2024)

Learning k-body Hamiltonians via compressed sensing. - Muzhou Ma; Steven T. Flammia; John Preskill; Yu Tong 002 (CoRR, 2024)

Ansatz-free Hamiltonian learning with Heisenberg-limited scaling. - Hong-Ye Hu; Muzhou Ma; Weiyuan Gong; Qi Ye; Yu Tong 002; Steven T. Flammia; Susanne F. Yelin (CoRR, 2025)

Qubit-Efficient Quantum Algorithm for Linear Differential Equations. - Di Fang 003; David Lloyd George; Yu Tong 002 (CoRR, 2025)