Jacques Carolan

3.0k total citations · 1 hit paper
24 papers, 1.9k citations indexed

About

Jacques Carolan is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jacques Carolan has authored 24 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 14 papers in Electrical and Electronic Engineering and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jacques Carolan's work include Neural Networks and Reservoir Computing (17 papers), Quantum Information and Cryptography (13 papers) and Optical Network Technologies (11 papers). Jacques Carolan is often cited by papers focused on Neural Networks and Reservoir Computing (17 papers), Quantum Information and Cryptography (13 papers) and Optical Network Technologies (11 papers). Jacques Carolan collaborates with scholars based in United States, United Kingdom and Denmark. Jacques Carolan's co-authors include Dirk Englund, Jeremy L. O’Brien, Anthony Laing, Mark G. Thompson, Nicholas J. Russell, Toshikazu Hashimoto, Jonathan C. F. Matthews, Nobuyuki Matsuda, Chris Sparrow and Peter Shadbolt and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Jacques Carolan

23 papers receiving 1.8k citations

Hit Papers

Universal linear optics 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacques Carolan United States 14 1.4k 1.2k 869 121 83 24 1.9k
Michael Kues Germany 18 966 0.7× 1.4k 1.2× 1.8k 2.1× 110 0.9× 45 0.5× 73 2.2k
Joshua W. Silverstone United Kingdom 14 1.3k 0.9× 1.4k 1.2× 1.1k 1.3× 135 1.1× 58 0.7× 38 2.0k
Jian Qin China 15 962 0.7× 532 0.5× 983 1.1× 95 0.8× 111 1.3× 27 1.4k
L. G. Helt Canada 19 1.1k 0.8× 1.1k 0.9× 1.3k 1.5× 102 0.8× 64 0.8× 52 1.9k
Justin B. Spring United Kingdom 12 897 0.6× 739 0.6× 945 1.1× 110 0.9× 35 0.4× 30 1.4k
Nicholas A. Peters United States 17 1.8k 1.3× 525 0.4× 1.8k 2.0× 98 0.8× 44 0.5× 77 2.2k
Eden Figueroa United States 15 1.6k 1.1× 550 0.5× 2.0k 2.3× 95 0.8× 83 1.0× 28 2.3k
Yan-Xiao Gong China 21 987 0.7× 700 0.6× 1.3k 1.5× 129 1.1× 34 0.4× 69 1.6k
Stefano Paesani United Kingdom 14 1.2k 0.8× 781 0.7× 638 0.7× 54 0.4× 56 0.7× 44 1.5k

Countries citing papers authored by Jacques Carolan

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Carolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Carolan

This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Carolan. A scholar is included among the top collaborators of Jacques Carolan 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 Jacques Carolan. Jacques Carolan 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.
Larocque, Hugo, Carlos Errando-Herranz, Jacques Carolan, et al.. (2024). Tunable quantum emitters on large-scale foundry silicon photonics. Nature Communications. 15(1). 20 indexed citations
2.
Paesani, Stefano, Jacques Carolan, Andreas D. Wieck, et al.. (2023). High-speed thin-film lithium niobate quantum processor driven by a solid-state quantum emitter. Science Advances. 9(19). eadg7268–eadg7268. 41 indexed citations
3.
Carolan, Jacques, et al.. (2023). Imperfect Quantum Photonic Neural Networks. Advanced Quantum Technologies. 6(3). 10 indexed citations
4.
Chanana, Ashish, Hugo Larocque, Renan Moreira, et al.. (2022). Ultra-low loss quantum photonic circuits integrated with single quantum emitters. Nature Communications. 13(1). 7693–7693. 68 indexed citations
5.
Jeannic, Hanna Le, Alexey Tiranov, Jacques Carolan, et al.. (2022). Dynamical photon–photon interaction mediated by a quantum emitter. Nature Physics. 18(10). 1191–1195. 38 indexed citations
6.
Carolan, Jacques, Chris Sparrow, Levon Chakhmakhchyan, et al.. (2022). Photonic quantum simulations of coupled PT-symmetric Hamiltonians. Physical Review Research. 4(1). 11 indexed citations
7.
Hangleiter, Dominik, Jacques Carolan, & Karim P. Y. Thébault. (2022). Analogue Quantum Simulation. arXiv (Cornell University). 7 indexed citations
8.
Uppu, Ravitej, Leonardo Midolo, Xiaoyan Zhou, Jacques Carolan, & Peter Lodahl. (2021). Quantum-dot-based deterministic photon–emitter interfaces for scalable photonic quantum technology. Nature Nanotechnology. 16(12). 1308–1317. 138 indexed citations
9.
Kim, Je‐Hyung, Shahriar Aghaeimeibodi, Jacques Carolan, Dirk Englund, & Edo Waks. (2020). Hybrid integration methods for on-chip quantum photonics. Optica. 7(4). 291–291. 174 indexed citations
10.
Prabhu, Mihika, Charles Roques‐Carmes, Yichen Shen, et al.. (2020). Accelerating recurrent Ising machines in photonic integrated circuits. Optica. 7(5). 551–551. 98 indexed citations
11.
Carolan, Jacques, Masoud Mohseni, Jonathan P. Olson, et al.. (2020). Author Correction: Variational quantum unsampling on a quantum photonic processor. Nature Physics. 16(3). 367–367. 2 indexed citations
12.
Calafell, Irati Alonso, David R. M. Arvidsson-Shukur, Lee A. Rozema, et al.. (2019). Trace-free counterfactual communication with a nanophotonic processor. npj Quantum Information. 5(1). 13 indexed citations
13.
Carolan, Jacques, Nicholas C. Harris, Mihir Pant, et al.. (2019). Scalable feedback control of single photon sources for photonic quantum technologies. Optica. 6(3). 335–335. 13 indexed citations
14.
Carolan, Jacques, Jonathan P. Olson, Mihika Prabhu, et al.. (2019). Variational Quantum Unsampling on a Programmable Nanophotonic Processor. Conference on Lasers and Electro-Optics. 86. FTh3A.3–FTh3A.3.
15.
Calafell, Irati Alonso, David R. M. Arvidsson-Shukur, Lee A. Rozema, et al.. (2019). Genuine Counterfactual Communication with a Nanophotonic Processor. Conference on Lasers and Electro-Optics. FTh4A.3–FTh4A.3. 1 indexed citations
16.
Hamerly, Ryan, Alexander Sludds, Liane Bernstein, et al.. (2019). Towards Large-Scale Photonic Neural-Network Accelerators. 22.8.1–22.8.4. 9 indexed citations
17.
Sparrow, Chris, Enrique Martín-López, Alex Neville, et al.. (2018). Simulating the vibrational quantum dynamics of molecules using photonics. Nature. 557(7707). 660–667. 149 indexed citations
18.
Carolan, Jacques, Christopher Harrold, Chris Sparrow, et al.. (2015). Universal linear optics. Science. 349(6249). 711–716. 695 indexed citations breakdown →
19.
Carolan, Jacques, Jasmin D. A. Meinecke, Pete Shadbolt, et al.. (2014). Verifying Quantum Complexity in Linear Optical Experiments. 8. FM2A.7–FM2A.7. 2 indexed citations
20.
Carolan, Jacques, Jasmin D. A. Meinecke, Peter Shadbolt, et al.. (2014). On the experimental verification of quantum complexity in linear optics. Nature Photonics. 8(8). 621–626. 143 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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