Guillaume Verdon

1.6k total citations · 1 hit paper
5 papers, 411 citations indexed

About

Guillaume Verdon is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistics and Probability. According to data from OpenAlex, Guillaume Verdon has authored 5 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Atomic and Molecular Physics, and Optics and 1 paper in Statistics and Probability. Recurrent topics in Guillaume Verdon's work include Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (4 papers) and Neural Networks and Reservoir Computing (2 papers). Guillaume Verdon is often cited by papers focused on Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (4 papers) and Neural Networks and Reservoir Computing (2 papers). Guillaume Verdon collaborates with scholars based in Canada, United States and Spain. Guillaume Verdon's co-authors include M. Cerezo, Patrick J. Coles, Łukasz Cincio, Hsin-Yuan Huang, Martín Larocca, Frédéric Sauvage, Owen Lockwood, Peter Weiß and Michael Broughton and has published in prestigious journals such as Physical Review Research, PRX Quantum and Nature Computational Science.

In The Last Decade

Guillaume Verdon

4 papers receiving 391 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Challenges and opportunities in quantum machine learning

2022 296 citations M. Cerezo, Guillaume Verdon et al. Nature Computational Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guillaume Verdon Canada	4	340	114	61	47	37	5	411
Christa Zoufal Switzerland	7	459 1.4×	156 1.4×	91 1.5×	69 1.5×	19 0.5×	11	503
Pierre-Luc Dallaire-Demers Germany	6	356 1.0×	126 1.1×	55 0.9×	49 1.0×	16 0.4×	6	389
Andrea Rocchetto United Kingdom	6	354 1.0×	152 1.3×	76 1.2×	33 0.7×	24 0.6×	13	438
Dennis Willsch Germany	10	376 1.1×	141 1.2×	89 1.5×	36 0.8×	17 0.5×	21	446
Kerstin Beer Germany	4	344 1.0×	92 0.8×	67 1.1×	66 1.4×	12 0.3×	5	403
Vasil S. Denchev United States	6	294 0.9×	162 1.4×	56 0.9×	38 0.8×	9 0.2×	8	354
Madita Willsch Germany	9	314 0.9×	97 0.9×	89 1.5×	28 0.6×	14 0.4×	18	373
Ruslan Shaydulin United States	12	368 1.1×	101 0.9×	118 1.9×	32 0.7×	9 0.2×	25	407
Andrea Skolik Netherlands	6	375 1.1×	101 0.9×	80 1.3×	55 1.2×	18 0.5×	8	412
Naeimeh Mohseni Germany	7	260 0.8×	81 0.7×	49 0.8×	102 2.2×	16 0.4×	12	340

Countries citing papers authored by Guillaume Verdon

Since Specialization

Citations

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

Fields of papers citing papers by Guillaume Verdon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Verdon

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Lockwood, Owen, et al.. (2024). Quantum dynamical Hamiltonian Monte Carlo. Physical Review Research. 6(3). 8 indexed citations

2.

Cerezo, M., et al.. (2023). A semi-agnostic ansatz with variable structure for variational quantum algorithms. Quantum Machine Intelligence. 5(2). 15 indexed citations

3.

Cerezo, M., Guillaume Verdon, Hsin-Yuan Huang, Łukasz Cincio, & Patrick J. Coles. (2022). Challenges and opportunities in quantum machine learning. Nature Computational Science. 2(9). 567–576. 296 indexed citations breakdown →

4.

Larocca, Martín, et al.. (2022). Group-Invariant Quantum Machine Learning. PRX Quantum. 3(3). 92 indexed citations

5.

Verdon, Guillaume, et al.. (2019). A Universal Training Algorithm for Quantum Deep Learning. arXiv (Cornell University). 2019.

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.

Explore authors with similar magnitude of impact