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Research Interests
- Quantum algorithms and quantum simulations
- Quantum many-body information
- Quantum Monte Carlo algorithms
Education
| 09.2023 - | Westlake University | PhD Student |
| 09.2019 - 06.2022 | Fudan University | M.S. in Theoretical Physics |
| 09.2015 - 06.2019 | China University of Mining and Technology (Beijing) | B.S. in Mathematics and Applied Mathematics |
Publications
[8] Probing phase transition and underlying symmetry breaking via entanglement entropy scanning
Z. Wang, Z. Deng, Z.Y. Wang, Y.M. Ding, W. Guo, Z. Yan.
[7] Tracking the variation of entanglement Rényi negativity: an efficient quantum Monte Carlo method.
Y.M. Ding, Y. Tang, Z. Wang, Z. Wang, B.B. Mao, Z. Yan
[6] Exploring the topological sector optimization on quantum computers.
Y.M. Ding, Y.C. Wang, S.X. Zhang, Z. Yan.
Phys. Rev. Applied 22, 034031 (2024).
[5] Bipartite reweight-annealing algorithm to extract large-scale data of entanglement entropy and its derivative in high precision.
Z. Wang, Z.Y. Wang, Y.M. Ding, B.B. Mao, Z. Yan
[4] Reweight-annealing method for evaluating the partition function via quantum Monte Carlo calculations
Y.M. Ding, J. Sun, N. Ma, G. Pan, C. Cheng, Z. Yan.
Phys. Rev. B 110, 165152 (2024).
[3] Relevant long-range interaction of the entanglement Hamiltonian emerges from a short-range system.
C. Li, R.Z. Huang, Y.M. Ding, Z Y Meng, Y.C. Wang, Z. Yan.
Phys. Rev. B 109, 195169 (2024)
[2] Sampling reduced density matrix to extract fine levels of entanglement spectrum.
B.B. Mao, Y.M. Ding, Z. Yan.
[1] Digital quantum simulation and pseudoquantum simulation of the Z2 gauge–Higgs model.
Y.M. Ding, X. Cui, and Y. Shi.