Ryan LaRose

1.3k total citations
16 papers, 711 citations indexed

About

Ryan LaRose is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Information Systems. According to data from OpenAlex, Ryan LaRose has authored 16 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Atomic and Molecular Physics, and Optics and 2 papers in Information Systems. Recurrent topics in Ryan LaRose's work include Quantum Computing Algorithms and Architecture (13 papers), Quantum Information and Cryptography (10 papers) and Neural Networks and Reservoir Computing (3 papers). Ryan LaRose is often cited by papers focused on Quantum Computing Algorithms and Architecture (13 papers), Quantum Information and Cryptography (10 papers) and Neural Networks and Reservoir Computing (3 papers). Ryan LaRose collaborates with scholars based in United States, Spain and United Kingdom. Ryan LaRose's co-authors include Brian Coyle, Łukasz Cincio, Patrick J. Coles, Alexander Poremba, Andrew Sornborger, Sumeet Khatri, Yiğit Subaşı, Carlos Bravo-Prieto, M. Cerezo and Andrea Mari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. A and Physical review. C.

In The Last Decade

Ryan LaRose

14 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan LaRose United States 10 657 240 145 103 24 16 711
Christa Zoufal Switzerland 7 459 0.7× 156 0.7× 91 0.6× 69 0.7× 20 0.8× 11 503
Marcello Benedetti United Kingdom 11 875 1.3× 291 1.2× 179 1.2× 107 1.0× 35 1.5× 20 955
Nicholas Chancellor United Kingdom 15 616 0.9× 350 1.5× 151 1.0× 73 0.7× 26 1.1× 47 745
Johannes Jakob Meyer Germany 9 885 1.3× 332 1.4× 148 1.0× 88 0.9× 32 1.3× 16 972
Ryan Sweke Germany 11 795 1.2× 326 1.4× 122 0.8× 80 0.8× 36 1.5× 19 879
Hermanni Heimonen Singapore 5 888 1.4× 492 2.0× 153 1.1× 84 0.8× 39 1.6× 6 1.0k
Sukin Sim United States 6 917 1.4× 489 2.0× 166 1.1× 91 0.9× 38 1.6× 11 1.0k
Wai‐Keong Mok Singapore 7 949 1.4× 541 2.3× 156 1.1× 103 1.0× 42 1.8× 17 1.1k
Abhinav Anand Canada 6 916 1.4× 474 2.0× 169 1.2× 93 0.9× 37 1.5× 12 1.0k
Hongxiang Chen China 5 554 0.8× 325 1.4× 110 0.8× 45 0.4× 22 0.9× 13 648

Countries citing papers authored by Ryan LaRose

Since Specialization
Citations

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

Fields of papers citing papers by Ryan LaRose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan LaRose

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

All Works

16 of 16 papers shown
1.
Sarkar, Rahul, et al.. (2025). Measurement reduction for expectation values via fine-grained commutativity. Physical review. A. 112(5).
2.
Pelofske, Elijah, Vincent M. Russo, Ryan LaRose, et al.. (2024). Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5(3). 1–18. 2 indexed citations
3.
Shammah, Nathan, Carmen G. Almudéver, Gustavo Cancelo, et al.. (2024). Open hardware solutions in quantum technology. SHILAP Revista de lepidopterología. 1(1). 9 indexed citations
4.
Bravo-Prieto, Carlos, Ryan LaRose, M. Cerezo, et al.. (2023). Variational Quantum Linear Solver. Quantum. 7. 1188–1188. 84 indexed citations
5.
Russo, Vincent M., Andrea Mari, Nathan Shammah, Ryan LaRose, & William J. Zeng. (2023). Testing Platform-Independent Quantum Error Mitigation on Noisy Quantum Computers. IEEE Transactions on Quantum Engineering. 4. 1–18. 11 indexed citations
6.
LaRose, Ryan, et al.. (2022). Simulating excited states of the Lipkin model on a quantum computer. Physical review. C. 106(2). 24 indexed citations
7.
LaRose, Ryan, et al.. (2022). Mitiq: A software package for error mitigation on noisy quantum computers. Quantum. 6. 774–774. 2 indexed citations
8.
LaRose, Ryan, Eleanor Rieffel, & Davide Venturelli. (2022). Mixer-phaser Ansätze for quantum optimization with hard constraints. Quantum Machine Intelligence. 4(2). 9 indexed citations
9.
LaRose, Ryan, et al.. (2022). Correction to: Mixer‑phaser ansätze for quantum optimization with hard constraints. Quantum Machine Intelligence. 4(2). 3 indexed citations
10.
Schultz, Kevin, Ryan LaRose, Andrea Mari, et al.. (2022). Impact of time-correlated noise on zero-noise extrapolation. Physical review. A. 106(5). 15 indexed citations
11.
LaRose, Ryan & Brian Coyle. (2020). Robust data encodings for quantum classifiers. Physical review. A. 102(3). 192 indexed citations
12.
Bravo-Prieto, Carlos, Ryan LaRose, M. Cerezo, et al.. (2019). Variational Quantum Linear Solver: A Hybrid Algorithm for Linear Systems. arXiv (Cornell University). 16 indexed citations
13.
LaRose, Ryan, et al.. (2019). Variational quantum state diagonalization. npj Quantum Information. 5(1). 121 indexed citations
14.
Khatri, Sumeet, Ryan LaRose, Alexander Poremba, et al.. (2019). Quantum-assisted quantum compiling. Quantum. 3. 140–140. 218 indexed citations
15.
LaRose, Ryan. (2018). Overview and Comparison of Gate Level Quantum Software Platforms. arXiv (Cornell University). 2019. 5 indexed citations
16.
LaRose, Ryan. (2012). Jurisdiction over American Private Military Contractors: The Illusion of a Loophole in the Law and the Reality of No Oversight. eYLS (Yale Law School). 18(1). 223.

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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