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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Arrazola, J. M., Bergholm, V., Brádler, K., Bromley, T. R., Collins, M. J., Dhand, I., Fumagalli, A., Gerrits, T., Goussev, A., Helt, L. G., Hundal, J., Isacsson, T., Israel, R. B., Izaac, J., Jahangiri, S., Janik, R., Killoran, N., Kumar, S. P., Lavoie, J., ... Zhang, Y. (2021). Quantum circuits with many photons on a programmable nanophotonic chip. Nature, 591(7848), 54-60. External link
Bromley, T. R., Arrazola, J. M., Jahangiri, S., Izaac, J., Quesada, N., Gran, A. D., Schuld, M., Swinarton, J., Zabaneh, Z., & Killoran, N. (2020). Applications of near-term photonic quantum computers: software and algorithms. Quantum Science and Technology, 5(3), 034010. External link
Banchi, L., Quesada, N., & Arrazola, J. M. (2020). Training Gaussian boson sampling distributions. Physical Review A, 102(1), 012417. External link
Grier, D., Brod, D. J., Arrazola, J. M., de Andrade Alonso, M. B., & Quesada, N. (2022). The Complexity of Bipartite Gaussian Boson Sampling. Quantum, 6, 44 pages. Available
Gupt, B., Arrazola, J. M., Quesada, N., & Bromley, T. R. (2020). Classical benchmarking of Gaussian Boson Sampling on the Titan supercomputer. Quantum Information Processing, 19(8), 249-249. External link
Jahangiri, S., Arrazola, J. M., Quesada, N., & Killoran, N. (2020). Point processes with Gaussian boson sampling. Physical Review E, 101(2), 022134. External link
Jahangiri, S., Arrazola, J. M., Quesada, N., & Delgado, A. (2020). Quantum algorithm for simulating molecular vibrational excitations. Physical Chemistry Chemical Physics, 22(44), 25528-25537. External link
Killoran, N., Bromley, T. R., Arrazola, J. M., Schuld, M., & Quesada, N. (2020). Apparatus and methods for quantum computing and machine learning. (Patent Application no. US20200401920). External link
Killoran, N., Bromley, T. R., Arrazola, J. M., Schuld, M., Quesada, N., & Lloyd, S. (2019). Continuous-variable quantum neural networks. Physical Review Research, 1(3), 033063. External link
Quesada, N., Chadwick, R. S., Bell, B. A., Arrazola, J. M., Vincent, T., Qi, H., & Garcia-Patron, R. (2022). Quadratic Speed-Up for Simulating Gaussian Boson Sampling. PRX Quantum, 3(1), 010306 (8 pages). External link
Quesada, N., & Arrazola, J. M. (2020). Exact simulation of Gaussian boson sampling in polynomial space and exponential time. Physical Review Research, 2(2), 023005. External link
Quesada, N., Arrazola, J. M., & Killoran, N. (2018). Gaussian boson sampling using threshold detectors. Physical Review A, 98(6), 062322. External link
