Yu Tong

Education

• Ph.D. University of California, Berkeley, 2022

Positions

• Assistant Professor of Mathematics
• Assistant Professor in the Department of Electrical and Computer Engineering
• Member of the Duke Quantum Center

Courses Taught

• MATH 790-90: Minicourse in Advanced Topics

Publications

• Li H, Tong Y, Gefen T, Ni H, Ying L. Heisenberg-limited Hamiltonian learning for interacting bosons. npj Quantum Information. 2024 Dec 1;10(1).
• Ma M, Flammia ST, Preskill J, Tong Y. Learning $k$-body Hamiltonians via compressed sensing. 2024.
• Berry DW, Tong Y, Khattar T, White A, Kim TI, Boixo S, et al. Rapid initial state preparation for the quantum simulation of strongly correlated molecules. 2024.
• Cai Y, Tong Y, Preskill J. Stochastic Error Cancellation in Analog Quantum Simulation. In: Leibniz International Proceedings in Informatics, LIPIcs. 2024.
• Li J, Tong Y. Exponential Quantum Advantage for Pathfinding in Regular Sunflower Graphs. 2024.
• Fang D, Lu J, Tong Y. Mixing Time of Open Quantum Systems via Hypocoercivity. 2024.
• Zhan Y, Elben A, Huang H-Y, Tong Y. Learning Conservation Laws in Unknown Quantum Dynamics. PRX Quantum. 2024 Mar 22;5(1).
• Cai Y, Tong Y, Preskill J. Stochastic Error Cancellation in Analog Quantum Simulation. 2023.
• Abrahamsen N, Tong Y, Bao N, Su Y, Wiebe N. Entanglement area law for one-dimensional gauge theories and bosonic systems. Physical Review A. 2023 Oct 1;108(4).
• Zhan Y, Elben A, Huang H-Y, Tong Y. Learning conservation laws in unknown quantum dynamics. 2023.
• Ding Z, Dong Y, Tong Y, Lin L. Robust ground-state energy estimation under depolarizing noise. 2023.
• Li H, Tong Y, Ni H, Gefen T, Ying L. Heisenberg-limited Hamiltonian learning for interacting bosons. 2023.
• Low GH, Su Y, Tong Y, Tran MC. Complexity of Implementing Trotter Steps. PRX Quantum. 2023 May 9;4(2).
• Huang H-Y, Tong Y, Fang D, Su Y. Learning Many-Body Hamiltonians with Heisenberg-Limited Scaling. Physical review letters. 2023 May;130(20):200403.
• Lee S, Lee J, Zhai H, Tong Y, Dalzell AM, Kumar A, et al. Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry. Nature communications. 2023 Apr;14(1):1952.
• Fang D, Lin L, Tong Y. Time-marching based quantum solvers for time-dependent linear differential equations. Quantum. 2023 Jan 1;7.
• Low GH, Su Y, Tong Y, Tran MC. On the complexity of implementing Trotter steps. 2022.
• Huang H-Y, Tong Y, Fang D, Su Y. Learning many-body Hamiltonians with Heisenberg-limited scaling. 2022.
• Dong Y, Lin L, Tong Y. Ground-State Preparation and Energy Estimation on Early Fault-Tolerant Quantum Computers via Quantum Eigenvalue Transformation of Unitary Matrices. PRX Quantum. 2022 Oct 1;3(4).
• Tong Y, Albert VV, McClean JR, Preskill J, Su Y. Provably accurate simulation of gauge theories and bosonic systems. Quantum. 2022 Sep 22;6:816–816.
• Fang D, Lin L, Tong Y. Time-marching based quantum solvers for time-dependent linear differential equations. 2022.
• Lee S, Lee J, Zhai H, Tong Y, Dalzell AM, Kumar A, et al. Is there evidence for exponential quantum advantage in quantum chemistry? 2022.
• Dong Y, Lin L, Tong Y. Ground state preparation and energy estimation on early fault-tolerant quantum computers via quantum eigenvalue transformation of unitary matrices. 2022.
• Abrahamsen N, Tong Y, Bao N, Su Y, Wiebe N. Entanglement area law for 1D gauge theories and bosonic systems. 2022.
• Lin L, Tong Y. Heisenberg-Limited Ground-State Energy Estimation for Early Fault-Tolerant Quantum Computers. PRX Quantum. 2022 Feb 2;3(1).
• Tong Y, Albert VV, McClean JR, Preskill J, Su Y. Provably accurate simulation of gauge theories and bosonic systems. QUANTUM. 2022;6:1–48.
• Tong Y, Albert VV, McClean JR, Preskill J, Su Y. Provably accurate simulation of gauge theories and bosonic systems. 2021.
• Tong Y, An D, Wiebe N, Lin L. Fast inversion, preconditioned quantum linear system solvers, fast Green's-function computation, and fast evaluation of matrix functions. Physical Review A. 2021 Sep 27;104(3).
• Lin L, Tong Y. Heisenberg-limited ground state energy estimation for early fault-tolerant quantum computers. 2021.
• Lin L, Tong Y. Low-Rank Representation of Tensor Network Operators with Long-Range Pairwise Interactions. SIAM Journal on Scientific Computing. 2021 Jan;43(1):A164–92.
• Lin L, Tong Y. Near-optimal ground state preparation. Quantum. 2020 Dec 14;4:372–372.
• Lin L, Tong Y. Optimal polynomial based quantum eigenstate filtering with application to solving quantum linear systems. Quantum. 2020 Nov 11;4:361–361.
• Tong Y, An D, Wiebe N, Lin L. Fast inversion, preconditioned quantum linear system solvers, and fast evaluation of matrix functions. 2020.
• Wu X, Lindsey M, Zhou T, Tong Y, Lin L. Enhancing robustness and efficiency of density matrix embedding theory via semidefinite programming and local correlation potential fitting. Physical Review B. 2020 Aug 12;102(8).
• Lin L, Tong Y. Near-optimal ground state preparation. 2020.
• Wu X, Lindsey M, Zhou T, Tong Y, Lin L. Enhancing robustness and efficiency of density matrix embedding theory via semidefinite programming and local correlation potential fitting. 2020.
• Lin L, Tong Y. Optimal polynomial based quantum eigenstate filtering with application to solving quantum linear systems. 2019.
• Lin L, Tong Y. Low-rank representation of tensor network operators with long-range pairwise interactions. 2019.
• Wu X, Cui Z-H, Tong Y, Lindsey M, Chan GK-L, Lin L. Projected density matrix embedding theory with applications to the two-dimensional Hubbard model. The Journal of Chemical Physics. 2019 Aug 14;151(6).
• Wu X, Cui Z-H, Tong Y, Lindsey M, Chan GK-L, Lin L. Projected Density Matrix Embedding Theory with Applications to the Two-Dimensional Hubbard Model. 2019.