Yu Tong
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 10%
- Statistical and Nonlinear Physics top 10%
- Electrical and Electronic Engineering
- Topics
- Quantum Information and Cryptography (16 papers)Quantum Computing Algorithms and Architecture (16 papers)Quantum and electron transport phenomena (7 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- United StatesChinaCanada
In The Last Decade
Yu Tong
20 papers receiving 581 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 484
- Atomic and Molecular Physics, and Optics 364
- Computational Theory and Mathematics 65
- Statistical and Nonlinear Physics 39
- Electrical and Electronic Engineering 35
Countries citing papers authored by Yu Tong
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistrybreakdown → | 143 |
| 8 | 20 | |
| 9 | 26 | |
| 10 | 2 | |
| 11 | 117 | |
| 12 | 83 | |
| 13 | 8 | |
| 14 | 41 | |
| 15 | 54 | |
| 16 | 5 | |
| 17 | 16 | |
| 18 | Optimal quantum eigenstate filtering with application to solving quantum linear systems | 2 |
| 19 | Solving quantum linear system problem with near-optimal complexity. | 3 |
| 20 | 17 |
About Yu Tong
Yu Tong is a scholar working on Computational Mathematics, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 22 papers that have together received 604 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (16 papers), Quantum Computing Algorithms and Architecture (16 papers) and Quantum and electron transport phenomena (7 papers). The work is most often cited by research in Artificial Intelligence (484 citations), Atomic and Molecular Physics, and Optics (364 citations) and Computational Theory and Mathematics (65 citations). Yu Tong has collaborated with scholars based in United States, China and Canada. Frequent 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. Their work appears in journals such as Physical Review Letters, Nature Communications and Physical review. B..
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.