Yu Tong

962 total citations · 1 hit paper
22 papers, 604 citations indexed

About

Yu Tong is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Yu Tong has authored 22 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Atomic and Molecular Physics, and Optics and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Yu Tong's work include Quantum Information and Cryptography (16 papers), Quantum Computing Algorithms and Architecture (16 papers) and Quantum and electron transport phenomena (7 papers). Yu Tong is often cited by papers focused on Quantum Information and Cryptography (16 papers), Quantum Computing Algorithms and Architecture (16 papers) and Quantum and electron transport phenomena (7 papers). Yu Tong collaborates with scholars based in United States, China and Canada. Yu Tong's co-authors include Lin Lin, Yulong Dong, Yuan Su, John Preskill, Dong An, Nathan Wiebe, Hsin-Yuan Huang, Seunghoon Lee, Garnet Kin‐Lic Chan and Ryan Babbush and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical review. B..

In The Last Decade

Yu Tong

20 papers receiving 581 citations

Hit Papers

Evaluating the evidence for exponential quantum advantage... 2023 2026 2024 2025 2023 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry
    2023 143 citations Seunghoon Lee, Joonho Lee et al. Nature Communications profile →

Peers

Yu Tong
Matthew J. O’Rourke United States
Kevin Gilmore United States
Daiwei Zhu United States
Frank Gaitan United States
Ingo Roth Germany
Erika Ye United States
Andrew Risinger United States
Crystal Noel United States
M. Meth Austria
C. Huerta Alderete United States
Matthew J. O’Rourke United States
Yu Tong
Citations per year, relative to Yu Tong Yu Tong (= 1×) peers Matthew J. O’Rourke

Countries citing papers authored by Yu Tong

Since Specialization
Citations

This map shows the geographic impact of Yu Tong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yu Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Tong more than expected).

Fields of papers citing papers by Yu Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu Tong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yu Tong. The network helps show where Yu Tong may publish in the future.

Co-authorship network of co-authors of Yu Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Tong. A scholar is included among the top collaborators of Yu Tong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu Tong. Yu Tong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Hu, Hong-Ye, et al.. (2025). Ansatz-Free Hamiltonian Learning with Heisenberg-Limited Scaling. PRX Quantum. 6(4).
3.
Berry, Dominic W., Yu Tong, Tanuj Khattar, et al.. (2025). Rapid Initial-State Preparation for the Quantum Simulation of Strongly Correlated Molecules. PRX Quantum. 6(2). 10 indexed citations
4.
Lu, Jianfeng, et al.. (2025). Mixing Time of Open Quantum Systems via Hypocoercivity. Physical Review Letters. 134(14). 140405–140405. 3 indexed citations
5.
Tong, Yu, et al.. (2024). Heisenberg-limited Hamiltonian learning for interacting bosons. npj Quantum Information. 10(1). 5 indexed citations
6.
Elben, Andreas, et al.. (2024). Learning Conservation Laws in Unknown Quantum Dynamics. PRX Quantum. 5(1). 3 indexed citations
7.
Lee, Seunghoon, Joonho Lee, Huanchen Zhai, et al.. (2023). Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry. Nature Communications. 14(1). 1952–1952. 143 indexed citations breakdown →
8.
Low, Guang Hao, Yuan Su, Yu Tong, & Minh C. Tran. (2023). Complexity of Implementing Trotter Steps. PRX Quantum. 4(2). 20 indexed citations
9.
Lin, Lin, et al.. (2023). Time-marching based quantum solvers for time-dependent linear differential equations. Quantum. 7. 955–955. 26 indexed citations
10.
Tong, Yu, et al.. (2023). Entanglement area law for one-dimensional gauge theories and bosonic systems. Physical review. A. 108(4). 2 indexed citations
11.
Lin, Lin & Yu Tong. (2022). Heisenberg-Limited Ground-State Energy Estimation for Early Fault-Tolerant Quantum Computers. PRX Quantum. 3(1). 117 indexed citations
12.
13.
14.
Tong, Yu, Victor V. Albert, Jarrod R. McClean, John Preskill, & Yuan Su. (2022). Provably accurate simulation of gauge theories and bosonic systems. Quantum. 6. 816–816. 41 indexed citations
15.
Tong, Yu, Dong An, Nathan Wiebe, & Lin Lin. (2021). Fast inversion, preconditioned quantum linear system solvers, fast Green's-function computation, and fast evaluation of matrix functions. Physical review. A. 104(3). 54 indexed citations
16.
Lin, Lin & Yu Tong. (2021). Low-Rank Representation of Tensor Network Operators with Long-Range Pairwise Interactions. SIAM Journal on Scientific Computing. 43(1). A164–A192. 5 indexed citations
17.
18.
Lin, Lin & Yu Tong. (2019). Optimal quantum eigenstate filtering with application to solving quantum linear systems. arXiv (Cornell University). 2 indexed citations
19.
Lin, Lin & Yu Tong. (2019). Solving quantum linear system problem with near-optimal complexity.. 3 indexed citations
20.
Tong, Yu, et al.. (1971). Turbulent Flow Due to a Rotating Disk. The Physics of Fluids. 14(12). 2588–2591. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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