Ruslan Shaydulin

1.1k total citations
25 papers, 407 citations indexed

About

Ruslan Shaydulin is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ruslan Shaydulin has authored 25 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ruslan Shaydulin's work include Quantum Computing Algorithms and Architecture (23 papers), Quantum Information and Cryptography (19 papers) and Quantum Mechanics and Applications (5 papers). Ruslan Shaydulin is often cited by papers focused on Quantum Computing Algorithms and Architecture (23 papers), Quantum Information and Cryptography (19 papers) and Quantum Mechanics and Applications (5 papers). Ruslan Shaydulin collaborates with scholars based in United States. Ruslan Shaydulin's co-authors include Ilya Safro, Yuri Alexeev, Marco Pistoia, Stefan M. Wild, Susan M. Mniszewski, Dylan Herman, Xiaoyuan Liu, Yue Sun, Jeffrey Larson and Shouvanik Chakrabarti and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Computer.

In The Last Decade

Ruslan Shaydulin

22 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruslan Shaydulin United States 12 368 118 101 32 21 25 407
Madita Willsch Germany 9 314 0.9× 89 0.8× 97 1.0× 28 0.9× 29 1.4× 18 373
Dennis Willsch Germany 10 376 1.0× 89 0.8× 141 1.4× 36 1.1× 33 1.6× 21 446
Christa Zoufal Switzerland 7 459 1.2× 91 0.8× 156 1.5× 69 2.2× 14 0.7× 11 503
Shenggen Zheng China 13 433 1.2× 186 1.6× 124 1.2× 35 1.1× 17 0.8× 49 474
Anupam Prakash Singapore 9 463 1.3× 181 1.5× 112 1.1× 38 1.2× 20 1.0× 12 505
Pierre-Luc Dallaire-Demers Germany 6 356 1.0× 55 0.5× 126 1.2× 49 1.5× 9 0.4× 6 389
Andrea Skolik Netherlands 6 375 1.0× 80 0.7× 101 1.0× 55 1.7× 9 0.4× 8 412
Alexandru Paler United States 12 495 1.3× 159 1.3× 214 2.1× 114 3.6× 30 1.4× 43 581
Thomas Häner Switzerland 7 572 1.6× 141 1.2× 250 2.5× 69 2.2× 64 3.0× 13 629
Chao‐Hua Yu China 12 409 1.1× 116 1.0× 169 1.7× 17 0.5× 5 0.2× 20 436

Countries citing papers authored by Ruslan Shaydulin

Since Specialization
Citations

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

Fields of papers citing papers by Ruslan Shaydulin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruslan Shaydulin

This figure shows the co-authorship network connecting the top 25 collaborators of Ruslan Shaydulin. A scholar is included among the top collaborators of Ruslan Shaydulin 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 Ruslan Shaydulin. Ruslan Shaydulin 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.
Yalovetzky, Romina, Shouvanik Chakrabarti, Ruslan Shaydulin, et al.. (2025). Decomposition pipeline for large-scale portfolio optimization with applications to near-term quantum computing. Physical Review Research. 7(2). 2 indexed citations
2.
He, Zichang, Rudy Raymond, Ruslan Shaydulin, & Marco Pistoia. (2025). Non-variational quantum random access optimization with alternating operator ansatz. Scientific Reports. 15(1). 29191–29191.
3.
Chakrabarti, Shouvanik, Kaushik Chakraborty, Shaltiel Eloul, et al.. (2025). Applications of certified randomness. Nature Reviews Physics. 7(9). 514–524.
4.
Hao, Tianyi, Zichang He, Ruslan Shaydulin, Jeffrey Larson, & Marco Pistoia. (2025). End-to-end protocol for high-quality quantum approximate optimization algorithm parameters with few shots. Physical Review Research. 7(3).
5.
He, Zichang, Shouvanik Chakrabarti, Dylan Herman, et al.. (2024). Invited: Challenges and Opportunities of Quantum Optimization in Finance. 1–4. 2 indexed citations
6.
Li, Changhao, Ruslan Shaydulin, Shouvanik Chakrabarti, et al.. (2024). Blind Quantum Machine Learning with Quantum Bipartite Correlator. Physical Review Letters. 133(12). 120602–120602. 6 indexed citations
7.
Sureshbabu, Shree Hari, Dylan Herman, Ruslan Shaydulin, et al.. (2024). Parameter Setting in Quantum Approximate Optimization of Weighted Problems. Quantum. 8. 1231–1231. 17 indexed citations
8.
He, Zichang, Ruslan Shaydulin, Dylan Herman, et al.. (2024). Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era. 1–7. 4 indexed citations
9.
Andrist, Ruben S., Martin J. A. Schuetz, Romina Yalovetzky, et al.. (2023). Hardness of the maximum-independent-set problem on unit-disk graphs and prospects for quantum speedups. Physical Review Research. 5(4). 15 indexed citations
10.
Herman, Dylan, Ruslan Shaydulin, Yue Sun, et al.. (2023). Constrained optimization via quantum Zeno dynamics. Communications Physics. 6(1). 22 indexed citations
11.
Lykov, Danylo, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, & Marco Pistoia. (2023). Fast Simulation of High-Depth QAOA Circuits. 1443–1451. 13 indexed citations
12.
Shaydulin, Ruslan, et al.. (2023). Parameter Transfer for Quantum Approximate Optimization of Weighted MaxCut. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4(3). 1–15. 49 indexed citations
13.
He, Zichang, Ruslan Shaydulin, Shouvanik Chakrabarti, et al.. (2023). Alignment between initial state and mixer improves QAOA performance for constrained optimization. npj Quantum Information. 9(1). 16 indexed citations
14.
Shaydulin, Ruslan, et al.. (2023). Numerical evidence against advantage with quantum fidelity kernels on classical data. Physical review. A. 107(6). 11 indexed citations
15.
Niroula, Pradeep, Ruslan Shaydulin, Romina Yalovetzky, et al.. (2022). Constrained quantum optimization for extractive summarization on a trapped-ion quantum computer. Scientific Reports. 12(1). 17171–17171. 32 indexed citations
16.
Liu, Xiaoyuan, et al.. (2022). Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers. IEEE Transactions on Quantum Engineering. 3. 1–20. 51 indexed citations
17.
Larson, Jeffrey, et al.. (2022). Characterizing Error Mitigation by Symmetry Verification in QAOA. 635–645. 4 indexed citations
18.
Shaydulin, Ruslan, et al.. (2021). ELRUNA. ACM Journal of Experimental Algorithmics. 26. 1–32. 3 indexed citations
19.
Shaydulin, Ruslan & Stefan M. Wild. (2021). Exploiting Symmetry Reduces the Cost of Training QAOA. IEEE Transactions on Quantum Engineering. 2. 1–9. 27 indexed citations
20.
Shaydulin, Ruslan, et al.. (2019). Network Community Detection on Small Quantum Computers. Advanced Quantum Technologies. 2(9). 39 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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