Publications of Yu Tong    :chronological  alphabetical  combined  bibtex listing:

Papers Published

1. Li, H; Tong, Y; Gefen, T; Ni, H; Ying, L, Heisenberg-limited Hamiltonian learning for interacting bosons, npj Quantum Information, vol. 10 no. 1 (December, 2024) [doi]  [abs]
2. Cai, Y; Tong, Y; Preskill, J, Stochastic Error Cancellation in Analog Quantum Simulation, Leibniz International Proceedings in Informatics, LIPIcs, vol. 310 (September, 2024) [doi]  [abs]
3. Zhan, Y; Elben, A; Huang, H-Y; Tong, Y, Learning Conservation Laws in Unknown Quantum Dynamics, PRX Quantum, vol. 5 no. 1 (March, 2024), American Physical Society (APS) [doi]  [abs]
4. Abrahamsen, N; Tong, Y; Bao, N; Su, Y; Wiebe, N, Entanglement area law for one-dimensional gauge theories and bosonic systems, Physical Review A, vol. 108 no. 4 (October, 2023), American Physical Society (APS) [doi]  [abs]
5. Low, GH; Su, Y; Tong, Y; Tran, MC, Complexity of Implementing Trotter Steps, PRX Quantum, vol. 4 no. 2 (May, 2023), American Physical Society (APS) [doi]
6. Huang, H-Y; Tong, Y; Fang, D; Su, Y, Learning Many-Body Hamiltonians with Heisenberg-Limited Scaling., Physical review letters, vol. 130 no. 20 (May, 2023), pp. 200403 [doi]  [abs]
7. Lee, S; Lee, J; Zhai, H; Tong, Y; Dalzell, AM; Kumar, A; Helms, P; Gray, J; Cui, Z-H; Liu, W; Kastoryano, M; Babbush, R; Preskill, J; Reichman, DR; Campbell, ET; Valeev, EF; Lin, L; Chan, GK-L, Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry., Nature communications, vol. 14 no. 1 (April, 2023), pp. 1952 [doi]  [abs]
8. Fang, D; Lin, L; Tong, Y, Time-marching based quantum solvers for time-dependent linear differential equations, Quantum, vol. 7 (January, 2023) [doi]  [abs]
9. 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, vol. 3 no. 4 (October, 2022), American Physical Society (APS) [doi]  [abs]
10. Tong, Y; Albert, VV; McClean, JR; Preskill, J; Su, Y, Provably accurate simulation of gauge theories and bosonic systems, Quantum, vol. 6 (September, 2022), pp. 816-816, Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften [doi]  [abs]
11. Lin, L; Tong, Y, Heisenberg-Limited Ground-State Energy Estimation for Early Fault-Tolerant Quantum Computers, PRX Quantum, vol. 3 no. 1 (February, 2022), American Physical Society (APS) [doi]
12. Tong, Y; Albert, VV; McClean, JR; Preskill, J; Su, Y, Provably accurate simulation of gauge theories and bosonic systems, QUANTUM, vol. 6 (2022), pp. 1-48
13. 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, vol. 104 no. 3 (September, 2021), American Physical Society (APS) [doi]
14. Lin, L; Tong, Y, Low-Rank Representation of Tensor Network Operators with Long-Range Pairwise Interactions, SIAM Journal on Scientific Computing, vol. 43 no. 1 (January, 2021), pp. A164-A192, Society for Industrial & Applied Mathematics (SIAM) [doi]
15. Lin, L; Tong, Y, Near-optimal ground state preparation, Quantum, vol. 4 (December, 2020), pp. 372-372, Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften [doi]  [abs]
16. Lin, L; Tong, Y, Optimal polynomial based quantum eigenstate filtering with application to solving quantum linear systems, Quantum, vol. 4 (November, 2020), pp. 361-361, Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften [doi]  [abs]
17. 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, vol. 102 no. 8 (August, 2020), American Physical Society (APS) [doi]
18. Wu, X; Cui, ZH; Tong, Y; Lindsey, M; Chan, GKL; Lin, L, Projected density matrix embedding theory with applications to the two-dimensional Hubbard model, Journal of Chemical Physics, vol. 151 no. 6 (August, 2019), AIP Publishing [doi]  [abs]