Vincent E. Elfving

749 total citations
22 papers, 320 citations indexed

About

Vincent E. Elfving is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Vincent E. Elfving has authored 22 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 10 papers in Atomic and Molecular Physics, and Optics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Vincent E. Elfving's work include Quantum Computing Algorithms and Architecture (16 papers), Quantum Information and Cryptography (15 papers) and Mechanical and Optical Resonators (4 papers). Vincent E. Elfving is often cited by papers focused on Quantum Computing Algorithms and Architecture (16 papers), Quantum Information and Cryptography (15 papers) and Mechanical and Optical Resonators (4 papers). Vincent E. Elfving collaborates with scholars based in United Kingdom, France and United States. Vincent E. Elfving's co-authors include Oleksandr Kyriienko, Anders S. Sørensen, Sumanta Das, Christian Gogolin, Florentin Reiter, José A. Gámez, Sanli Faez, Sebastian Weidt, W. K. Hensinger and José A. Gámez and has published in prestigious journals such as Physical Review Letters, IEEE Software and The European Physical Journal A.

In The Last Decade

Vincent E. Elfving

19 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent E. Elfving United Kingdom 9 264 150 50 39 24 22 320
Chris Granade United States 4 275 1.0× 170 1.1× 39 0.8× 30 0.8× 14 0.6× 7 310
Dan Gresh United States 5 252 1.0× 163 1.1× 45 0.9× 52 1.3× 14 0.6× 11 302
Dax Enshan Koh Singapore 12 353 1.3× 212 1.4× 37 0.7× 62 1.6× 33 1.4× 33 410
Changpeng Shao United Kingdom 9 204 0.8× 71 0.5× 19 0.4× 60 1.5× 12 0.5× 24 242
Natalie C. Brown United States 8 301 1.1× 168 1.1× 50 1.0× 65 1.7× 8 0.3× 13 336
Roman Stricker Austria 5 380 1.4× 275 1.8× 46 0.9× 58 1.5× 11 0.5× 10 447
Nhung H. Nguyen United States 10 387 1.5× 269 1.8× 40 0.8× 54 1.4× 38 1.6× 17 474
Marius Nagy Canada 6 247 0.9× 210 1.4× 23 0.5× 40 1.0× 22 0.9× 31 307
Carlos Bravo-Prieto Spain 9 284 1.1× 99 0.7× 27 0.5× 66 1.7× 10 0.4× 10 318
Nandini Muthusubramanian Netherlands 9 383 1.5× 313 2.1× 63 1.3× 52 1.3× 13 0.5× 15 447

Countries citing papers authored by Vincent E. Elfving

Since Specialization
Citations

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

Fields of papers citing papers by Vincent E. Elfving

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent E. Elfving. 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 Vincent E. Elfving. The network helps show where Vincent E. Elfving may publish in the future.

Co-authorship network of co-authors of Vincent E. Elfving

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent E. Elfving. A scholar is included among the top collaborators of Vincent E. Elfving 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 Vincent E. Elfving. Vincent E. Elfving 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.
Gentile, Antonio A., et al.. (2025). Quantum Iterative Methods for Solving Differential Equations with Application to Computational Fluid Dynamics. Advanced Quantum Technologies. 9(2).
2.
Guichard, Roland, et al.. (2025). Tool: Qadence: A Differentiable Interface for Digital and Analog Programs. IEEE Software. 42(6). 44–54.
3.
Gentile, Antonio A., et al.. (2024). Let quantum neural networks choose their own frequencies. Physical review. A. 109(4). 7 indexed citations
4.
Wu, Hsin‐Yu, Vincent E. Elfving, & Oleksandr Kyriienko. (2024). Multidimensional Quantum Generative Modeling by Quantum Hartley Transform. Advanced Quantum Technologies. 8(3).
5.
Leclerc, Lucas, et al.. (2024). Graph algorithms with neutral atom quantum processors. The European Physical Journal A. 60(9). 8 indexed citations
6.
Dauphin, Alexandre, et al.. (2024). Variational protocols for emulating digital gates using analog control with always-on interactions. Physical review. A. 109(6). 2 indexed citations
7.
Kyriienko, Oleksandr, et al.. (2024). Protocols for trainable and differentiable quantum generative modeling. Physical Review Research. 6(3). 1 indexed citations
8.
Elfving, Vincent E., et al.. (2024). What can we Learn from Quantum Convolutional Neural Networks?. Advanced Quantum Technologies. 8(7). 4 indexed citations
9.
Gentile, Antonio A., et al.. (2024). Potential of quantum scientific machine learning applied to weather modeling. Physical review. A. 110(5). 5 indexed citations
10.
Elfving, Vincent E., et al.. (2023). Quantum kernel methods for solving regression problems and differential equations. Physical review. A. 107(3). 24 indexed citations
11.
Albrecht, Boris, Lucas Leclerc, Slimane Thabet, et al.. (2023). Quantum feature maps for graph machine learning on a neutral atom quantum processor. Physical review. A. 107(4). 16 indexed citations
12.
Kasture, Sachin, Oleksandr Kyriienko, & Vincent E. Elfving. (2023). Protocols for classically training quantum generative models on probability distributions. Physical review. A. 108(4). 3 indexed citations
13.
Elfving, Vincent E., et al.. (2023). Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time‐Series. Advanced Quantum Technologies. 6(10). 8 indexed citations
14.
Elfving, Vincent E., et al.. (2022). The impact of hardware specifications on reaching quantum advantage in the fault tolerant regime. AVS Quantum Science. 4(1). 23 indexed citations
15.
Elfving, Vincent E., et al.. (2021). Simulating quantum chemistry in the seniority-zero space on qubit-based quantum computers. Physical review. A. 103(3). 33 indexed citations
16.
Kyriienko, Oleksandr, et al.. (2021). Solving nonlinear differential equations with differentiable quantum circuits. Physical review. A. 103(5). 112 indexed citations
17.
Elfving, Vincent E., José A. Gámez, & Christian Gogolin. (2020). Simulating quantum chemistry in the restricted Hartree-Fock space on a qubit-based quantum computing device. arXiv (Cornell University). 5 indexed citations
18.
Elfving, Vincent E., Sumanta Das, & Anders S. Sørensen. (2019). Enhancing quantum transduction via long-range waveguide-mediated interactions between quantum emitters. Physical review. A. 100(5). 8 indexed citations
19.
Das, Sumanta, Vincent E. Elfving, Florentin Reiter, & Anders S. Sørensen. (2018). Photon scattering from a system of multilevel quantum emitters. II. Application to emitters coupled to a one-dimensional waveguide. Physical review. A. 97(4). 16 indexed citations
20.
Das, Sumanta, Vincent E. Elfving, Sanli Faez, & Anders S. Sørensen. (2017). Interfacing Superconducting Qubits and Single Optical Photons Using Molecules in Waveguides. Physical Review Letters. 118(14). 140501–140501. 28 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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