Yunseong Nam

3.1k total citations · 1 hit paper
43 papers, 1.2k citations indexed

About

Yunseong Nam is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Yunseong Nam has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 30 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Yunseong Nam's work include Quantum Information and Cryptography (33 papers), Quantum Computing Algorithms and Architecture (33 papers) and Quantum and electron transport phenomena (15 papers). Yunseong Nam is often cited by papers focused on Quantum Information and Cryptography (33 papers), Quantum Computing Algorithms and Architecture (33 papers) and Quantum and electron transport phenomena (15 papers). Yunseong Nam collaborates with scholars based in United States, Canada and South Korea. Yunseong Nam's co-authors include Dmitri Maslov, Yuan Su, Neil J. Ross, Andrew M. Childs, R. Blümel, Alejandro Perdomo‐Ortiz, Óscar Perdomo, Vicente Leyton‐Ortega, Marcello Benedetti and Alessandro Croce and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Yunseong Nam

40 papers receiving 1.2k citations

Hit Papers

Toward the first quantum simulation with quantum speedup 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunseong Nam United States 17 1.0k 586 195 123 65 43 1.2k
Shun Watanabe Japan 16 280 0.3× 279 0.5× 96 0.5× 523 4.3× 72 1.1× 72 777
June‐Koo Kevin Rhee South Korea 20 404 0.4× 583 1.0× 70 0.4× 667 5.4× 19 0.3× 114 1.4k
Bryan O’Gorman United States 12 1.0k 1.0× 339 0.6× 315 1.6× 121 1.0× 21 0.3× 23 1.2k
Takeshi Umeki Japan 24 799 0.8× 884 1.5× 89 0.5× 1.4k 11.8× 28 0.4× 155 2.2k
Stephen Brierley United Kingdom 13 851 0.8× 581 1.0× 234 1.2× 102 0.8× 99 1.5× 25 1.3k
Edward Grant United Kingdom 10 803 0.8× 404 0.7× 160 0.8× 63 0.5× 13 0.2× 30 939
Qiwen Ran China 23 208 0.2× 126 0.2× 72 0.4× 259 2.1× 36 0.6× 62 1.4k
Lars Lindemann United States 15 232 0.2× 191 0.3× 360 1.8× 45 0.4× 35 0.5× 56 1000
Leonardo Banchi United Kingdom 20 2.0k 1.9× 1.7k 2.9× 85 0.4× 161 1.3× 20 0.3× 65 2.3k

Countries citing papers authored by Yunseong Nam

Since Specialization
Citations

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

Fields of papers citing papers by Yunseong Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunseong Nam

This figure shows the co-authorship network connecting the top 25 collaborators of Yunseong Nam. A scholar is included among the top collaborators of Yunseong Nam 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 Yunseong Nam. Yunseong Nam 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.
Li, Ming, Nhung H. A. Nguyen, Alaina Green, et al.. (2025). Realizing two-qubit gates through mode engineering on a trapped-ion quantum computer. Physical review. A. 111(2).
2.
Lee, Dong Kun, et al.. (2024). Do blue-green roofs yield optimal thermal performance? Synergy analysis of the combination of green roofs and water retention layer. Journal of Building Engineering. 95. 110172–110172. 3 indexed citations
3.
Zhu, Daiwei, L. H. Lewis, Crystal Noel, et al.. (2023). Interactive cryptographic proofs of quantumness using mid-circuit measurements. Nature Physics. 19(11). 1725–1731. 10 indexed citations
4.
Cian, Ze-Pei, et al.. (2023). Ever more optimized simulations of fermionic systems on a quantum computer. 1–6. 3 indexed citations
5.
Nam, Yunseong, et al.. (2022). Simulating lattice quantum electrodynamics on a quantum computer. Quantum Science and Technology. 8(1). 15008–15008. 5 indexed citations
6.
Zhu, Daiwei, Ze-Pei Cian, Crystal Noel, et al.. (2022). Cross-platform comparison of arbitrary quantum states. Nature Communications. 13(1). 6620–6620. 25 indexed citations
7.
Bravyi, Sergey, Dmitri Maslov, & Yunseong Nam. (2022). Constant-Cost Implementations of Clifford Operations and Multiply-Controlled Gates Using Global Interactions. Physical Review Letters. 129(23). 230501–230501. 12 indexed citations
8.
Kawashima, Yukio, Marc P. Coons, Yunseong Nam, et al.. (2021). Optimizing electronic structure simulations on a trapped-ion quantum computer using problem decomposition. Communications Physics. 4(1). 40 indexed citations
9.
Zhu, Daiwei, Crystal Noel, Andrew Risinger, et al.. (2021). Demonstration of Interactive Protocols for Classically-Verifiable Quantum Advantage. Bulletin of the American Physical Society. 2 indexed citations
10.
Blümel, R., Nikodem Grzesiak, Neal C. Pisenti, Kenneth Wright, & Yunseong Nam. (2021). Power-optimal, stabilized entangling gate between trapped-ion qubits. npj Quantum Information. 7(1). 22 indexed citations
11.
Blümel, R., Nikodem Grzesiak, Nhung H. Nguyen, et al.. (2021). Efficient Stabilized Two-Qubit Gates on a Trapped-Ion Quantum Computer. Physical Review Letters. 126(22). 220503–220503. 26 indexed citations
12.
Grzesiak, Nikodem, R. Blümel, Kenneth Wright, et al.. (2020). Efficient arbitrary simultaneously entangling gates on a trapped-ion quantum computer. Nature Communications. 11(1). 2963–2963. 65 indexed citations
13.
Benedetti, Marcello, et al.. (2019). A generative modeling approach for benchmarking and training shallow quantum circuits. npj Quantum Information. 5(1). 190 indexed citations
14.
Nam, Yunseong & Dmitri Maslov. (2019). Low-cost quantum circuits for classically intractable instances of the Hamiltonian dynamics simulation problem. npj Quantum Information. 5(1). 21 indexed citations
15.
Nam, Yunseong, Neil J. Ross, Yuan Su, Andrew M. Childs, & Dmitri Maslov. (2018). Automated optimization of large quantum circuits with continuous parameters. npj Quantum Information. 4(1). 114 indexed citations
16.
Childs, Andrew M., Dmitri Maslov, Yunseong Nam, Neil J. Ross, & Yuan Su. (2018). Toward the first quantum simulation with quantum speedup. Proceedings of the National Academy of Sciences. 115(38). 9456–9461. 318 indexed citations breakdown →
17.
Maslov, Dmitri, Yunseong Nam, & Jungsang Kim. (2018). An Outlook for Quantum Computing [Point of View]. Proceedings of the IEEE. 107(1). 5–10. 34 indexed citations
18.
Nam, Yunseong, et al.. (2017). Explicit, analytical radio-frequency heating formulas for spherically symmetric nonneutral plasmas in a Paul trap. Physics Letters A. 381(40). 3477–3481. 4 indexed citations
19.
Nam, Yunseong & R. Blümel. (2014). Robustness of the quantum Fourier transform with respect to static gate defects. Physical Review A. 89(4). 7 indexed citations
20.
Bottasso, Carlo L., Alessandro Croce, Yunseong Nam, & Carlo E.D. Riboldi. (2011). Power curve tracking in the presence of a tip speed constraint. Renewable Energy. 40(1). 1–12. 42 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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