Nicolás Quesada

3.2k total citations · 1 hit paper
48 papers, 1.6k citations indexed

About

Nicolás Quesada is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Nicolás Quesada has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 30 papers in Atomic and Molecular Physics, and Optics and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Nicolás Quesada's work include Quantum Information and Cryptography (40 papers), Quantum Computing Algorithms and Architecture (21 papers) and Neural Networks and Reservoir Computing (15 papers). Nicolás Quesada is often cited by papers focused on Quantum Information and Cryptography (40 papers), Quantum Computing Algorithms and Architecture (21 papers) and Neural Networks and Reservoir Computing (15 papers). Nicolás Quesada collaborates with scholars based in Canada, United States and United Kingdom. Nicolás Quesada's co-authors include Juan Miguel Arrazola, Nathan Killoran, L. G. Helt, Josh Izaac, J. E. Sipe, M. Menotti, Lars S. Madsen, Ish Dhand, Jonathan Lavoie and Trevor Vincent and has published in prestigious journals such as Nature, Physical Review Letters and Physical Review A.

In The Last Decade

Nicolás Quesada

44 papers receiving 1.5k citations

Hit Papers

Quantum computational advantage with a programmable photo... 2022 2026 2023 2024 2022 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
Nicolás Quesada Canada 18 1.3k 918 396 65 58 48 1.6k
E. Jeffrey United States 16 1.5k 1.2× 1.6k 1.8× 349 0.9× 38 0.6× 86 1.5× 41 1.9k
Quntao Zhuang United States 23 1.4k 1.1× 1.3k 1.5× 241 0.6× 33 0.5× 92 1.6× 98 1.7k
Juan Miguel Arrazola Canada 20 1.1k 0.9× 740 0.8× 174 0.4× 66 1.0× 92 1.6× 45 1.3k
Scott Glancy United States 18 1.8k 1.4× 1.9k 2.0× 301 0.8× 44 0.7× 82 1.4× 39 2.1k
Guilherme B. Xavier Chile 17 980 0.8× 924 1.0× 297 0.8× 29 0.4× 28 0.5× 60 1.2k
Joseph B. Altepeter United States 17 1.5k 1.1× 1.5k 1.6× 235 0.6× 27 0.4× 82 1.4× 47 1.7k
Ish Dhand Germany 13 911 0.7× 727 0.8× 276 0.7× 56 0.9× 52 0.9× 21 1.2k
Daniel J. Brod Brazil 17 1.2k 0.9× 818 0.9× 374 0.9× 21 0.3× 44 0.8× 33 1.4k
Stefano Paesani United Kingdom 14 1.2k 0.9× 638 0.7× 781 2.0× 35 0.5× 42 0.7× 44 1.5k
Stefanie Barz Germany 13 1.2k 0.9× 1.0k 1.1× 195 0.5× 34 0.5× 42 0.7× 31 1.4k

Countries citing papers authored by Nicolás Quesada

Since Specialization
Citations

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

Fields of papers citing papers by Nicolás Quesada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolás Quesada

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolás Quesada. A scholar is included among the top collaborators of Nicolás Quesada 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 Nicolás Quesada. Nicolás Quesada 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.
Houde, Martin, et al.. (2025). Ultrashort-pulse-pumped, single-mode type-0 squeezers in lithium niobate nanophotonics. PolyPublie (École Polytechnique de Montréal). 3(6). 560–560.
3.
Quesada, Nicolás, et al.. (2025). Strategies for generating separable photon triplets in waveguides and ring resonators. Quantum Science and Technology. 10(4). 45045–45045.
4.
Oh, Changhun, Bill Fefferman, Liang Jiang, & Nicolás Quesada. (2024). Quantum-Inspired Classical Algorithm for Graph Problems by Gaussian Boson Sampling. PRX Quantum. 5(2). 5 indexed citations
5.
Houde, Martin, Will McCutcheon, & Nicolás Quesada. (2024). Matrix decompositions in quantum optics: Takagi/Autonne, Bloch–Messiah/Euler, Iwasawa, and Williamson. Canadian Journal of Physics. 102(10). 497–507. 14 indexed citations
6.
Thekkadath, Guillaume, Martin Houde, Duncan England, et al.. (2024). Gain-Induced Group Delay in Spontaneous Parametric Down-Conversion. Physical Review Letters. 133(20). 203601–203601. 4 indexed citations
7.
Yao, Yuan, Filippo M. Miatto, & Nicolás Quesada. (2024). Riemannian optimization of photonic quantum circuits in phase and Fock space. SciPost Physics. 17(3). 9 indexed citations
8.
Fonseca-Romero, K. M., et al.. (2023). Classical models may be a better explanation of the Jiuzhang 1.0 Gaussian Boson Sampler than its targeted squeezed light model. Quantum. 7. 1076–1076. 11 indexed citations
9.
Peter, Yves-Alain & Nicolás Quesada. (2023). Custom Nonlinearity Profile for Integrated Quantum Light Sources. Physical Review Applied. 19(5). 1 indexed citations
10.
Madsen, Lars S., Fabian Laudenbach, Fabien Rortais, et al.. (2022). Quantum computational advantage with a programmable photonic processor. Nature. 606(7912). 75–81. 603 indexed citations breakdown →
11.
Qi, Haoyu, et al.. (2022). Efficient sampling from shallow Gaussian quantum-optical circuits with local interactions. Physical review. A. 105(5). 5 indexed citations
12.
Qi, Haoyu, Daniel J. Brod, Nicolás Quesada, & Raúl García−Patrón. (2020). Regimes of Classical Simulability for Noisy Gaussian Boson Sampling. Physical Review Letters. 124(10). 100502–100502. 51 indexed citations
13.
Vernon, Z., et al.. (2020). Scalable squeezed light source for continuous variable quantum sampling. Conference on Lasers and Electro-Optics. 112. FTu3C.3–FTu3C.3. 3 indexed citations
14.
Quesada, Nicolás & Juan Miguel Arrazola. (2020). Exact simulation of Gaussian boson sampling in polynomial space and exponential time. Physical Review Research. 2(2). 33 indexed citations
15.
Jahangiri, Soran, Juan Miguel Arrazola, Nicolás Quesada, & Nathan Killoran. (2020). Point processes with Gaussian boson sampling. Physical review. E. 101(2). 22134–22134. 28 indexed citations
16.
Quesada, Nicolás. (2018). A faster calculation of Franck-Condon factors and Fock matrix elements of Gaussian unitaries using loop hafnians. arXiv (Cornell University). 1 indexed citations
17.
Quesada, Nicolás, et al.. (2015). Time-Ordering Effects in the Generation of Entangled Photons Using Nonlinear Optical Processes. Physical Review Letters. 114(9). 93903–93903. 31 indexed citations
18.
Quesada, Nicolás, et al.. (2014). Quantum Correlations in Optical Metrology: Beating the Heisenberg Limit without Entanglement. arXiv (Cornell University). 1 indexed citations
19.
Quesada, Nicolás, Agata M. Brańczyk, & Daniel F. V. James. (2013). Holistic Quantum State and Process Tomography. PolyPublie (École Polytechnique de Montréal). FW1C.6–FW1C.6.
20.
Quesada, Nicolás, et al.. (2010). Density operator of a system pumped with polaritons: a Jaynes–Cummings-like approach. Journal of Physics Condensed Matter. 23(2). 25301–25301. 7 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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