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Results: 7
Number of items: 7
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van Apeldoorn, J., Gribling, S., & Nieuwboer, H. (2024). Basic quantum subroutines: finding multiple marked elements and summing numbers. Quantum, 8, Article 1284. https://doi.org/10.22331/q-2024-03-14-1284, https://doi.org/10.48550/arXiv.2302.10244 -
van Apeldoorn, J., Gribling, S., Li, Y., Nieuwboer, H., Walter, M., & de Wolf, R. (2021). Quantum algorithms for matrix scaling and matrix balancing. In N. Bansal, E. Merelli, & J. Worrell (Eds.), 48th International Colloquium on Automata, Languages, and Programming: ICALP 2021, July 12–16, 2021, Glasgow, Scotland ((Virtual Conference) Article 110 (Leibniz International Proceedings in Informatics; Vol. 198). Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.ICALP.2021.110
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Helberger, N., Eskens, S., Strycharz, J., Bouchè, G., van Hoboken, J., van Mil, J., Toh, J., Appelman, N., van Apeldoorn, J., van Eechoud, M., van Doorn, N., Sax, M., & de Vreese, C. (2021). Conditions for technological solutions in a COVID-19 exit strategy, with particular focus on the legal and societal conditions: report for ZonMw. IViR, University of Amsterdam. https://www.ivir.nl/publicaties/download/covid-report.pdf
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van Apeldoorn, J., Gilyén, A., Gribling, S., & de Wolf, R. (2020). Quantum SDP-Solvers: Better upper and lower bounds. Quantum - the open journal for quantum science, 4, Article 230. https://doi.org/10.22331/q-2020-02-14-230
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van Apeldoorn, J., Gilyén, A., Gribling, S., & de Wolf, R. (2020). Convex optimization using quantum oracles. Quantum - the open journal for quantum science, 4, Article 220. https://doi.org/10.22331/q-2020-01-13-220
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van Apeldoorn, J., Gilyén, A., Gribling, S., & de Wolf, R. (2017). Quantum SDP-Solvers: Better upper and lower bounds. In 58th Annual IEEE Symposium on Foundations of Computer Science: FOCS 2017 : proceedings : 15-17 October 2017, Berkeley, CA, USA (pp. 403-414). IEEE Computer Society. https://doi.org/10.1109/FOCS.2017.44
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