Kyungjoo Noh

1.7k total citations · 1 hit paper
21 papers, 995 citations indexed

About

Kyungjoo Noh is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Kyungjoo Noh has authored 21 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 16 papers in Atomic and Molecular Physics, and Optics and 4 papers in Computational Theory and Mathematics. Recurrent topics in Kyungjoo Noh's work include Quantum Information and Cryptography (18 papers), Quantum Computing Algorithms and Architecture (18 papers) and Quantum and electron transport phenomena (12 papers). Kyungjoo Noh is often cited by papers focused on Quantum Information and Cryptography (18 papers), Quantum Computing Algorithms and Architecture (18 papers) and Quantum and electron transport phenomena (12 papers). Kyungjoo Noh collaborates with scholars based in United States, South Korea and China. Kyungjoo Noh's co-authors include Liang Jiang, Christopher Chamberland, Victor V. Albert, S. M. Girvin, Bill Fefferman, Fernando G. S. L. Brandão, Chao Shen, Philip Reinhold, Linshu Li and Dylan J. Young and has published in prestigious journals such as Physical Review Letters, Physical Review B and IEEE Transactions on Information Theory.

In The Last Decade

Kyungjoo Noh

20 papers receiving 969 citations

Hit Papers

Building a Fault-Tolerant... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyungjoo Noh United States 12 925 685 105 92 45 21 995
Shruti Puri United States 17 973 1.1× 872 1.3× 128 1.2× 81 0.9× 58 1.3× 46 1.2k
Ivan Pogorelov Austria 8 548 0.6× 452 0.7× 80 0.8× 57 0.6× 22 0.5× 11 676
Maarten Van den Nest Germany 13 668 0.7× 553 0.8× 52 0.5× 93 1.0× 19 0.4× 26 753
M. Van den Nest Austria 11 910 1.0× 793 1.2× 68 0.6× 71 0.8× 43 1.0× 18 1.0k
Ryan LaRose United States 10 657 0.7× 240 0.4× 103 1.0× 145 1.6× 24 0.5× 16 711
Ingo Roth Germany 11 496 0.5× 411 0.6× 55 0.5× 38 0.4× 57 1.3× 25 621
Jacob F. F. Bulmer United Kingdom 8 632 0.7× 427 0.6× 230 2.2× 50 0.5× 23 0.5× 12 785
Christopher Chamberland United States 13 555 0.6× 310 0.5× 93 0.9× 149 1.6× 18 0.4× 17 603
Andrei Petrenko United States 5 1.1k 1.2× 1.1k 1.6× 115 1.1× 60 0.7× 58 1.3× 7 1.3k
Jaewoo Joo United Kingdom 16 1.1k 1.2× 968 1.4× 86 0.8× 47 0.5× 53 1.2× 26 1.2k

Countries citing papers authored by Kyungjoo Noh

Since Specialization
Citations

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

Fields of papers citing papers by Kyungjoo Noh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyungjoo Noh

This figure shows the co-authorship network connecting the top 25 collaborators of Kyungjoo Noh. A scholar is included among the top collaborators of Kyungjoo Noh 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 Kyungjoo Noh. Kyungjoo Noh 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.
Putterman, Harald, Kyungjoo Noh, Rishi N. Patel, et al.. (2025). Preserving Phase Coherence and Linearity in Cat Qubits with Exponential Bit-Flip Suppression. Physical Review X. 15(1). 1 indexed citations
2.
Rosenfeld, Emma, et al.. (2025). Cross-resonance control of an oscillator with an auxiliary fluxonium qubit. Physical Review Applied. 23(2). 1 indexed citations
3.
O’Brien, Liam, Kyungjoo Noh, Matthew H. Matheny, et al.. (2025). Self-Correcting Gottesman-Kitaev-Preskill Qubit and Gates in a Driven-Dissipative Circuit. PRX Quantum. 6(3).
4.
Chamberland, Christopher, et al.. (2023). Closest Lattice Point Decoding for Multimode Gottesman-Kitaev-Preskill Codes. PRX Quantum. 4(4). 9 indexed citations
5.
Chamberland, Christopher, Kyungjoo Noh, Patricio Arrangoiz-Arriola, et al.. (2022). Building a Fault-Tolerant Quantum Computer Using Concatenated Cat Codes. PRX Quantum. 3(1). 172 indexed citations breakdown →
6.
Xu, Qian, Harald Putterman, Joseph K. Iverson, et al.. (2022). Engineering Kerr-cat qubits for hardware efficient quantum error correction. 9. 54–54. 1 indexed citations
7.
Noh, Kyungjoo, Christopher Chamberland, & Fernando G. S. L. Brandão. (2022). Low-Overhead Fault-Tolerant Quantum Error Correction with the Surface-GKP Code. PRX Quantum. 3(1). 46 indexed citations
8.
Li, Linshu, Dylan J. Young, Victor V. Albert, et al.. (2021). Phase-engineered bosonic quantum codes. Physical review. A. 103(6). 8 indexed citations
9.
Oh, Changhun, Kyungjoo Noh, Bill Fefferman, & Liang Jiang. (2021). Classical simulation of lossy boson sampling using matrix product operators. Physical review. A. 104(2). 23 indexed citations
10.
Ma, Wen-Long, Mengzhen Zhang, Kyungjoo Noh, et al.. (2020). Path-Independent Quantum Gates with Noisy Ancilla. Physical Review Letters. 125(11). 110503–110503. 31 indexed citations
11.
Noh, Kyungjoo, S. M. Girvin, & Liang Jiang. (2020). Encoding an Oscillator into Many Oscillators. Physical Review Letters. 125(8). 61 indexed citations
12.
Noh, Kyungjoo & Christopher Chamberland. (2020). Fault-tolerant bosonic quantum error correction with the surface–Gottesman-Kitaev-Preskill code. Physical review. A. 101(1). 98 indexed citations
13.
Puri, Shruti, Alexander Grimm, Philippe Campagne-Ibarcq, et al.. (2019). Stabilized Cat in a Driven Nonlinear Cavity: A Fault-Tolerant Error Syndrome Detector. Physical Review X. 9(4). 103 indexed citations
14.
Noh, Kyungjoo & Christopher Chamberland. (2019). Fault-tolerant bosonic quantum error correction with the surface-GKP code. arXiv (Cornell University). 3 indexed citations
15.
Noh, Kyungjoo, Victor V. Albert, & Liang Jiang. (2018). Quantum Capacity Bounds of Gaussian Thermal Loss Channels and Achievable Rates With Gottesman-Kitaev-Preskill Codes. IEEE Transactions on Information Theory. 65(4). 2563–2582. 102 indexed citations
16.
Albert, Victor V., Kyungjoo Noh, Kasper Duivenvoorden, et al.. (2018). Performance and structure of single-mode bosonic codes. Physical review. A. 97(3). 190 indexed citations
17.
Lihm, Jae-Mo, Kyungjoo Noh, & Uwe R. Fischer. (2018). Implementation-independent sufficient condition of the Knill-Laflamme type for the autonomous protection of logical qudits by strong engineered dissipation. Physical review. A. 98(1). 26 indexed citations
18.
Albert, Victor V., Kyungjoo Noh, Kasper Duivenvoorden, et al.. (2017). Performance and structure of bosonic codes. arXiv (Cornell University). 2 indexed citations
19.
Shen, Chao, Kyungjoo Noh, Victor V. Albert, et al.. (2017). Quantum channel construction with circuit quantum electrodynamics. Physical review. B.. 95(13). 45 indexed citations
20.
Noh, Kyungjoo & Uwe R. Fischer. (2014). Consistent perturbative treatment of the subohmic spin-boson model yielding arbitrarily smallT2/T1decoherence time ratios. Physical Review B. 90(22). 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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