Iris Cong

2.8k total citations · 1 hit paper
10 papers, 1.1k citations indexed

About

Iris Cong is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Geometry and Topology. According to data from OpenAlex, Iris Cong has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atomic and Molecular Physics, and Optics, 7 papers in Artificial Intelligence and 1 paper in Geometry and Topology. Recurrent topics in Iris Cong's work include Quantum Information and Cryptography (7 papers), Quantum Computing Algorithms and Architecture (6 papers) and Quantum and electron transport phenomena (3 papers). Iris Cong is often cited by papers focused on Quantum Information and Cryptography (7 papers), Quantum Computing Algorithms and Architecture (6 papers) and Quantum and electron transport phenomena (3 papers). Iris Cong collaborates with scholars based in United States, Canada and Austria. Iris Cong's co-authors include Mikhail D. Lukin, Soonwon Choi, Luming Duan, Zhenghan Wang, Meng Cheng, Dolev Bluvstein, Alexander Keesling, Sheng-Tao Wang, Harry Levine and Norman Y. Yao and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nature Physics.

In The Last Decade

Iris Cong

10 papers receiving 1.1k citations

Hit Papers

Quantum convolutional neural networks 2019 2026 2021 2023 2019 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
Iris Cong United States 9 931 412 193 141 56 10 1.1k
Vojtěch Havlíček Czechia 7 1.2k 1.3× 403 1.0× 240 1.2× 143 1.0× 79 1.4× 17 1.4k
Leonard Wossnig United Kingdom 9 1.0k 1.1× 459 1.1× 245 1.3× 93 0.7× 57 1.0× 15 1.2k
Josh Izaac Australia 14 1.4k 1.5× 534 1.3× 218 1.1× 200 1.4× 61 1.1× 20 1.5k
Hayato Goto Japan 18 1.0k 1.1× 647 1.6× 158 0.8× 221 1.6× 43 0.8× 69 1.4k
Kosuke Mitarai Japan 16 1.6k 1.7× 682 1.7× 307 1.6× 187 1.3× 90 1.6× 43 1.7k
Thi Ha Kyaw Singapore 10 1.1k 1.2× 669 1.6× 167 0.9× 99 0.7× 38 0.7× 20 1.2k
Tim Menke United States 7 967 1.0× 734 1.8× 161 0.8× 102 0.7× 48 0.9× 11 1.3k
Aleksey K. Fedorov Russia 20 829 0.9× 673 1.6× 122 0.6× 114 0.8× 68 1.2× 99 1.2k
Edward Grant United Kingdom 10 803 0.9× 404 1.0× 160 0.8× 63 0.4× 52 0.9× 30 939
Bryan O’Gorman United States 12 1.0k 1.1× 339 0.8× 315 1.6× 121 0.9× 37 0.7× 23 1.2k

Countries citing papers authored by Iris Cong

Since Specialization
Citations

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

Fields of papers citing papers by Iris Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iris Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Iris Cong. A scholar is included among the top collaborators of Iris Cong 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 Iris Cong. Iris Cong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Cong, Iris, Nishad Maskara, Minh C. Tran, et al.. (2024). Enhancing detection of topological order by local error correction. Nature Communications. 15(1). 1527–1527. 18 indexed citations
2.
Zhou, Hengyun, et al.. (2024). Robust Hamiltonian Engineering for Interacting Qudit Systems. Physical Review X. 14(3). 8 indexed citations
3.
Cong, Iris, Harry Levine, Alexander Keesling, et al.. (2022). Hardware-Efficient, Fault-Tolerant Quantum Computation with Rydberg Atoms. Physical Review X. 12(2). 105 indexed citations
4.
Schuster, Thomas, Bryce Kobrin, Ping Gao, et al.. (2022). Many-Body Quantum Teleportation via Operator Spreading in the Traversable Wormhole Protocol. Physical Review X. 12(3). 34 indexed citations
5.
Schuster, Thomas, Bryce Kobrin, Ping Gao, et al.. (2021). Many-body quantum teleportation via operator spreading in the traversable wormhole protocol. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
6.
Cong, Iris, Soonwon Choi, & Mikhail D. Lukin. (2019). Quantum convolutional neural networks. Nature Physics. 15(12). 1273–1278. 810 indexed citations breakdown →
7.
Cong, Iris, Meng Cheng, & Zhenghan Wang. (2017). Universal Quantum Computation with Gapped Boundaries. Physical Review Letters. 119(17). 170504–170504. 27 indexed citations
8.
Cong, Iris, Meng Cheng, & Zhenghan Wang. (2017). Hamiltonian and Algebraic Theories of Gapped Boundaries in Topological Phases of Matter. Communications in Mathematical Physics. 355(2). 645–689. 32 indexed citations
9.
Cong, Iris, Meng Cheng, & Zhenghan Wang. (2017). Defects between gapped boundaries in two-dimensional topological phases of matter. Physical review. B.. 96(19). 19 indexed citations
10.
Cong, Iris & Luming Duan. (2016). Quantum discriminant analysis for dimensionality reduction and classification. New Journal of Physics. 18(7). 73011–73011. 90 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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