Nathan Killoran

7.2k total citations · 3 hit papers
49 papers, 3.7k citations indexed

About

Nathan Killoran is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Nathan Killoran has authored 49 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atomic and Molecular Physics, and Optics, 31 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Nathan Killoran's work include Quantum Computing Algorithms and Architecture (27 papers), Quantum Information and Cryptography (27 papers) and Quantum Mechanics and Applications (16 papers). Nathan Killoran is often cited by papers focused on Quantum Computing Algorithms and Architecture (27 papers), Quantum Information and Cryptography (27 papers) and Quantum Mechanics and Applications (16 papers). Nathan Killoran collaborates with scholars based in United Kingdom, Canada and Germany. Nathan Killoran's co-authors include Maria Schuld, Josh Izaac, Ville Bergholm, Martin B. Plenio, Pierre-Luc Dallaire-Demers, Christian Gogolin, Thomas R. Bromley, Andrea Mari, James Stokes and Giuseppe Carleo and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

Nathan Killoran

47 papers receiving 3.5k citations

Hit Papers

Quantum Machine Learning ... 2019 2026 2021 2023 2019 2019 2020 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nathan Killoran 3.0k 1.6k 535 425 236 49 3.7k
Jacob Biamonte 3.7k 1.2× 1.7k 1.1× 545 1.0× 818 1.9× 334 1.4× 64 4.6k
Antonio Córcoles 3.8k 1.3× 2.6k 1.7× 571 1.1× 486 1.1× 162 0.7× 32 4.5k
Péter Wittek 3.0k 1.0× 1.3k 0.8× 396 0.7× 596 1.4× 212 0.9× 62 3.9k
Kristan Temme 5.0k 1.7× 3.0k 1.9× 537 1.0× 861 2.0× 215 0.9× 32 5.7k
Nicola Pancotti 2.1k 0.7× 734 0.5× 307 0.6× 477 1.1× 161 0.7× 8 2.6k
Abhinav Kandala 4.4k 1.4× 2.9k 1.9× 542 1.0× 751 1.8× 535 2.3× 28 5.4k
Vedran Dunjko 2.4k 0.8× 1.1k 0.7× 256 0.5× 359 0.8× 124 0.5× 70 2.8k
Sergio Boixo 4.5k 1.5× 2.9k 1.8× 450 0.8× 686 1.6× 136 0.6× 52 5.2k
Patrick J. Coles 4.5k 1.5× 2.6k 1.7× 413 0.8× 604 1.4× 220 0.9× 84 5.0k
Nathan Wiebe 5.1k 1.7× 2.4k 1.5× 685 1.3× 967 2.3× 344 1.5× 67 5.9k

Countries citing papers authored by Nathan Killoran

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Killoran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Killoran

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Killoran. A scholar is included among the top collaborators of Nathan Killoran 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 Nathan Killoran. Nathan Killoran 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.
Wiersema, Roeland, A. F. Kemper, Bojko Bakalov, & Nathan Killoran. (2025). Geometric quantum machine learning with horizontal quantum gates. Physical Review Research. 7(1).
2.
Wiersema, Roeland, Dylan Lewis, David Wierichs, Juan Carrasquilla, & Nathan Killoran. (2024). Here comes the SU(N): multivariate quantum gates and gradients. Quantum. 8. 1275–1275. 7 indexed citations
3.
Park, Chae-Yeun & Nathan Killoran. (2024). Hamiltonian variational ansatz without barren plateaus. Quantum. 8. 1239–1239. 28 indexed citations
4.
Killoran, Nathan, et al.. (2023). Variational Quantum Optimization of Nonlocality in Noisy Quantum Networks. IEEE Transactions on Quantum Engineering. 4. 1–27. 9 indexed citations
5.
Matteo, Olivia Di, Josh Izaac, Thomas R. Bromley, et al.. (2023). Quantum Computing with Differentiable Quantum Transforms. 4(3). 1–20. 5 indexed citations
6.
Wiersema, Roeland & Nathan Killoran. (2023). Optimizing quantum circuits with Riemannian gradient flow. Physical review. A. 107(6). 17 indexed citations
7.
Lowe, Angus, et al.. (2023). Fast quantum circuit cutting with randomized measurements. Quantum. 7. 934–934. 36 indexed citations
8.
Mari, Andrea, Thomas R. Bromley, & Nathan Killoran. (2021). Estimating the gradient and higher-order derivatives on quantum hardware. Physical review. A. 103(1). 82 indexed citations
9.
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
10.
Schuld, Maria, Ville Bergholm, Christian Gogolin, Josh Izaac, & Nathan Killoran. (2019). Evaluating analytic gradients on quantum hardware. Physical review. A. 99(3). 577 indexed citations breakdown →
11.
Schuld, Maria & Nathan Killoran. (2019). Quantum Machine Learning in Feature Hilbert Spaces. Physical Review Letters. 122(4). 40504–40504. 835 indexed citations breakdown →
12.
Killoran, Nathan, Josh Izaac, Nicolás Quesada, et al.. (2019). Strawberry Fields: A Software Platform for Photonic Quantum Computing. Quantum. 3. 129–129. 159 indexed citations
13.
Theurer, Thomas, Nathan Killoran, Dario Egloff, & Martin B. Plenio. (2017). Resource Theory of Superposition. Physical Review Letters. 119(23). 230401–230401. 89 indexed citations
14.
Killoran, Nathan, et al.. (2016). Converting Nonclassicality into Entanglement. Physical Review Letters. 116(8). 80402–80402. 127 indexed citations
15.
Matera, J. M., Dario Egloff, Nathan Killoran, & Martin B. Plenio. (2015). On the Resource Theory of Control of Quantum Systems. arXiv (Cornell University). 1 indexed citations
16.
Killoran, Nathan, M. Cramer, & Martin B. Plenio. (2014). Extracting Entanglement from Identical Particles. Physical Review Letters. 112(15). 150501–150501. 92 indexed citations
17.
Reinders, P.H.P., et al.. (1987). Novel top-loading 20 mK/15 T cryomagnetic system. Cryogenics. 27(12). 689–692. 10 indexed citations
18.
Gíslason, H. P., B. Ḿonemar, P. J. Dean, et al.. (1982). Photoluminescence studies of the 1.911-eV Cu-related complex in GaP. Physical review. B, Condensed matter. 26(2). 827–845. 62 indexed citations
19.
Killoran, Nathan & B.C. Cavenett. (1982). Spin dependent carrier capture processes observed by ODMR on the 0.84 eV luminescence in SI-GaAs:Cr. Solid State Communications. 43(4). 261–266. 6 indexed citations
20.
Killoran, Nathan, B.C. Cavenett, & W. E. Hagston. (1980). Zeeman studies of the 0.839eV emission in SI GaAs:Cr. Solid State Communications. 35(4). 333–337. 14 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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