Suguru Endo

4.4k total citations · 3 hit papers
32 papers, 2.4k citations indexed

About

Suguru Endo is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Suguru Endo has authored 32 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 19 papers in Atomic and Molecular Physics, and Optics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Suguru Endo's work include Quantum Computing Algorithms and Architecture (28 papers), Quantum Information and Cryptography (26 papers) and Quantum and electron transport phenomena (8 papers). Suguru Endo is often cited by papers focused on Quantum Computing Algorithms and Architecture (28 papers), Quantum Information and Cryptography (26 papers) and Quantum and electron transport phenomena (8 papers). Suguru Endo collaborates with scholars based in Japan, United Kingdom and China. Suguru Endo's co-authors include Simon C. Benjamin, Xiao Yuan, Sam McArdle, Alán Aspuru‐Guzik, Ying Li, Tyson Jones, Jinzhao Sun, Yuuki Tokunaga, Jarrod R. McClean and Thomas E. O’Brien and has published in prestigious journals such as Physical Review Letters, Reviews of Modern Physics and Journal of the Physical Society of Japan.

In The Last Decade

Suguru Endo

27 papers receiving 2.3k citations

Hit Papers

Quantum computational chemistry 2019 2026 2021 2023 2020 2019 2023 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Suguru Endo Japan 14 2.1k 1.4k 323 173 109 32 2.4k
Sam McArdle United Kingdom 9 1.5k 0.7× 982 0.7× 242 0.7× 104 0.6× 98 0.9× 13 1.7k
Kosuke Mitarai Japan 16 1.6k 0.7× 682 0.5× 307 1.0× 187 1.1× 90 0.8× 43 1.7k
Nathan Wiebe United States 15 1.4k 0.7× 826 0.6× 312 1.0× 117 0.7× 54 0.5× 26 1.6k
Maika Takita United States 12 2.1k 1.0× 1.5k 1.1× 398 1.2× 253 1.5× 294 2.7× 18 2.6k
Jonathan Romero Colombia 15 1.5k 0.7× 1.1k 0.8× 339 1.0× 145 0.8× 168 1.5× 24 2.1k
Dave Wecker United States 10 1.5k 0.7× 1.1k 0.8× 255 0.8× 109 0.6× 77 0.7× 14 1.7k
Craig Gidney United States 12 1.3k 0.6× 782 0.6× 321 1.0× 119 0.7× 56 0.5× 19 1.4k
He-Liang Huang China 17 1.7k 0.8× 1.3k 0.9× 141 0.4× 367 2.1× 74 0.7× 48 2.1k
Matthias Degroote United States 12 1.1k 0.5× 726 0.5× 208 0.6× 117 0.7× 73 0.7× 26 1.4k
Guang Hao Low United States 17 1.2k 0.6× 675 0.5× 267 0.8× 73 0.4× 58 0.5× 35 1.3k

Countries citing papers authored by Suguru Endo

Since Specialization
Citations

This map shows the geographic impact of Suguru Endo'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 Suguru Endo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suguru Endo more than expected).

Fields of papers citing papers by Suguru Endo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suguru Endo. 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 Suguru Endo. The network helps show where Suguru Endo may publish in the future.

Co-authorship network of co-authors of Suguru Endo

This figure shows the co-authorship network connecting the top 25 collaborators of Suguru Endo. A scholar is included among the top collaborators of Suguru Endo 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 Suguru Endo. Suguru Endo 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.
Yoshioka, Nobuyuki, Hiroyuki Harada, Yuuki Tokunaga, et al.. (2025). Resource-efficient generalized quantum subspace expansion. Physical Review Applied. 23(5). 1 indexed citations
2.
Endo, Suguru, et al.. (2025). Quantum error mitigation for rotation-symmetric bosonic codes with symmetry expansion. Physical review. A. 111(6).
3.
Saito, Shôichi, Suguru Endo, & Yasuo Suzuki. (2024). Towards N-version Quantum Software Systems for Reliable Classical-Quantum Computing. 119–120. 2 indexed citations
4.
Endo, Suguru, et al.. (2023). Measurement optimization of variational quantum simulation by classical shadow and derandomization. Quantum. 7. 995–995. 7 indexed citations
5.
Cai, Zhenyu, Ryan Babbush, Simon C. Benjamin, et al.. (2023). Quantum error mitigation. Reviews of Modern Physics. 95(4). 260 indexed citations breakdown →
6.
Takagi, Ryuji, et al.. (2022). Fundamental limits of quantum error mitigation. npj Quantum Information. 8(1). 105 indexed citations
7.
Yoshioka, Nobuyuki, Hideaki Hakoshima, Yuichiro Matsuzaki, et al.. (2022). Generalized Quantum Subspace Expansion. Physical Review Letters. 129(2). 20502–20502. 48 indexed citations
8.
Endo, Suguru, et al.. (2022). Resource estimations for the Hamiltonian simulation in correlated electron materials. Physical review. A. 106(1).
9.
Seki, Yuya, Suguru Endo, Yuichiro Matsuzaki, et al.. (2021). Boltzmann machine learning with a variational quantum algorithm. Physical review. A. 104(3). 13 indexed citations
10.
Tokunaga, Yuuki, et al.. (2021). Security Based on Quantum Information Technology and Data Protection of Quantum Information. NTT technical review. 19(6). 88–93.
11.
Tokunaga, Yuuki, et al.. (2021). Fault-tolerant Technology for Quantum Information Processing and Its Implementation Methods. NTT technical review. 19(5). 40–44. 2 indexed citations
12.
Xu, Xiaosi, Jinzhao Sun, Suguru Endo, et al.. (2021). Variational algorithms for linear algebra. Science Bulletin. 66(21). 2181–2188. 109 indexed citations
13.
Hakoshima, Hideaki, Yuichiro Matsuzaki, & Suguru Endo. (2021). Relationship between costs for quantum error mitigation and non-Markovian measures. Physical review. A. 103(1). 21 indexed citations
14.
Endo, Suguru, Jinzhao Sun, Ying Li, Simon C. Benjamin, & Xiao Yuan. (2020). Variational Quantum Simulation of General Processes. Physical Review Letters. 125(1). 10501–10501. 157 indexed citations
15.
McArdle, Sam, Suguru Endo, Alán Aspuru‐Guzik, Simon C. Benjamin, & Xiao Yuan. (2020). Quantum computational chemistry. Reviews of Modern Physics. 92(1). 941 indexed citations breakdown →
16.
Yuan, Xiao, Suguru Endo, Martina Esposito, et al.. (2019). Implementing the Variational Quantum Eigensolver with native 2-qubit interaction and error mitigation. Bulletin of the American Physical Society. 2019. 2 indexed citations
17.
McArdle, Sam, Tyson Jones, Suguru Endo, et al.. (2019). Variational ansatz-based quantum simulation of imaginary time evolution. npj Quantum Information. 5(1). 337 indexed citations breakdown →
18.
Endo, Suguru, Qi Zhao, Ying Li, Simon C. Benjamin, & Xiao Yuan. (2019). Mitigating algorithmic errors in a Hamiltonian simulation. Physical review. A. 99(1). 53 indexed citations
19.
McArdle, Sam, Tyson Jones, Suguru Endo, et al.. (2018). Variational quantum simulation of imaginary time evolution. arXiv (Cornell University). 4 indexed citations
20.
McArdle, Sam, Suguru Endo, Ying Li, Simon C. Benjamin, & Xiao Yuan. (2018). Variational quantum simulation of imaginary time evolution with applications in chemistry and beyond. arXiv (Cornell University). 2 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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