Martín Larocca

1.5k total citations · 4 hit papers
25 papers, 734 citations indexed

About

Martín Larocca is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Martín Larocca has authored 25 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 17 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Martín Larocca's work include Quantum Computing Algorithms and Architecture (19 papers), Quantum Information and Cryptography (18 papers) and Quantum and electron transport phenomena (6 papers). Martín Larocca is often cited by papers focused on Quantum Computing Algorithms and Architecture (19 papers), Quantum Information and Cryptography (18 papers) and Quantum and electron transport phenomena (6 papers). Martín Larocca collaborates with scholars based in United States, Argentina and Canada. Martín Larocca's co-authors include M. Cerezo, Patrick J. Coles, Frédéric Sauvage, Diego A. Wisniacki, Kunal Sharma, Diego García-Martín, Piotr Czarnik, Guillaume Verdon, Pablo M. Poggi and Łukasz Cincio and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nature Physics.

In The Last Decade

Martín Larocca

23 papers receiving 695 citations

Hit Papers

Diagnosing Barren Plateaus with Tools from Quantum Optima... 2022 2026 2023 2024 2022 2023 2024 2025 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martín Larocca United States 14 640 313 105 56 44 25 734
Zoë Holmes United States 15 938 1.5× 469 1.5× 119 1.1× 89 1.6× 40 0.9× 29 1.0k
Kanav Setia United States 5 565 0.9× 349 1.1× 115 1.1× 45 0.8× 40 0.9× 7 651
Zhaokai Li China 13 491 0.8× 372 1.2× 94 0.9× 48 0.9× 86 2.0× 28 644
Jules Tilly United Kingdom 5 517 0.8× 341 1.1× 103 1.0× 43 0.8× 37 0.8× 5 625
Shuxiang Cao United Kingdom 5 535 0.8× 325 1.0× 107 1.0× 52 0.9× 35 0.8× 13 629
Tyler Volkoff United States 9 926 1.4× 505 1.6× 142 1.4× 94 1.7× 35 0.8× 30 994
Hongxiang Chen China 5 554 0.9× 325 1.0× 110 1.0× 45 0.8× 44 1.0× 13 648
Geoff Gillett Australia 6 688 1.1× 610 1.9× 56 0.5× 84 1.5× 38 0.9× 9 813
A. Shen China 2 610 1.0× 381 1.2× 197 1.9× 44 0.8× 10 0.2× 3 709
Nengkun Yu Australia 20 1.0k 1.6× 733 2.3× 142 1.4× 53 0.9× 13 0.3× 64 1.1k

Countries citing papers authored by Martín Larocca

Since Specialization
Citations

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

Fields of papers citing papers by Martín Larocca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martín Larocca

This figure shows the co-authorship network connecting the top 25 collaborators of Martín Larocca. A scholar is included among the top collaborators of Martín Larocca 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 Martín Larocca. Martín Larocca 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.
Cerezo, M., et al.. (2025). Gate-Based Quantum Simulation of Gaussian Bosonic Circuits on Exponentially Many Modes. Physical Review Letters. 134(7). 70604–70604. 4 indexed citations
3.
Cerezo, M., Martín Larocca, Diego García-Martín, et al.. (2025). Does provable absence of barren plateaus imply classical simulability?. Nature Communications. 16(1). 7907–7907. 13 indexed citations
4.
Larocca, Martín, Supanut Thanasilp, Samson Wang, et al.. (2025). Barren plateaus in variational quantum computing. Nature Reviews Physics. 7(4). 174–189. 51 indexed citations breakdown →
5.
Larocca, Martín, et al.. (2025). Parallel-in-time quantum simulation via Page and Wootters quantum time. Physical Review Research. 7(3).
6.
Nguyen, Kate, et al.. (2024). Theory for Equivariant Quantum Neural Networks. PRX Quantum. 5(2). 43 indexed citations
7.
Larocca, Martín, et al.. (2024). On the universality of Sn-equivariant k-body gates. New Journal of Physics. 26(5). 53030–53030. 8 indexed citations
8.
Larocca, Martín, et al.. (2024). Theoretical guarantees for permutation-equivariant quantum neural networks. npj Quantum Information. 10(1). 47 indexed citations
9.
Bakalov, Bojko, Frédéric Sauvage, A. F. Kemper, et al.. (2024). A Lie algebraic theory of barren plateaus for deep parameterized quantum circuits. Nature Communications. 15(1). 7172–7172. 61 indexed citations breakdown →
10.
Larocca, Martín, Supanut Thanasilp, Samson Wang, et al.. (2024). Barren Plateaus in Variational Quantum Computing. arXiv (Cornell University). 23 indexed citations
11.
García-Martín, Diego, Martín Larocca, & M. Cerezo. (2024). Effects of noise on the overparametrization of quantum neural networks. Physical Review Research. 6(1). 11 indexed citations
12.
Sauvage, Frédéric, Martín Larocca, Patrick J. Coles, & M. Cerezo. (2023). Building spatial symmetries into parameterized quantum circuits for faster training. Quantum Science and Technology. 9(1). 15029–15029. 28 indexed citations
13.
Sauvage, Frédéric, et al.. (2023). Diabatic quantum annealing for the frustrated ring model. Quantum Science and Technology. 8(4). 45033–45033. 8 indexed citations
14.
Larocca, Martín, et al.. (2023). Theory of overparametrization in quantum neural networks. Nature Computational Science. 3(6). 542–551. 102 indexed citations breakdown →
15.
Wisniacki, Diego A., et al.. (2022). Loschmidt-echo approach to error estimation in Krylov-subspace approximation. Physical review. A. 106(4). 2 indexed citations
16.
Larocca, Martín, et al.. (2022). Diagnosing Barren Plateaus with Tools from Quantum Optimal Control. Quantum. 6. 824–824. 139 indexed citations breakdown →
17.
Larocca, Martín & Diego A. Wisniacki. (2021). Krylov-subspace approach for the efficient control of quantum many-body dynamics. Physical review. A. 103(2). 16 indexed citations
18.
Larocca, Martín, Esteban Calzetta, & Diego A. Wisniacki. (2020). Fourier compression: A customization method for quantum control protocols. Physical review. A. 102(3). 5 indexed citations
19.
Larocca, Martín, Esteban Calzetta, & Diego A. Wisniacki. (2020). Exploiting landscape geometry to enhance quantum optimal control. Physical review. A. 101(2). 22 indexed citations
20.
Larocca, Martín, Pablo M. Poggi, & Diego A. Wisniacki. (2018). Quantum control landscape for a two-level system near the quantum speed limit. Journal of Physics A Mathematical and Theoretical. 51(38). 385305–385305. 29 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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