302 search results for “quantum computer” in the Student website
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Rahul Bandyopadhyay
Faculty of Science
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Carlo Beenakker
Faculty of Science
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Arend-Jan Quist
Faculty of Science
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Melissa Hernandez Vindas
Faculty of Law
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Dirk Bouwmeester
Faculty of Science
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Simon Marshall
Faculty of Science
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Smart programming for the quantum computer that does not exist yet
Designing innovative algorithms, thinking outside the box, and brainstorming over coffee with his colleagues — this is what physicist Stefano Polla enjoys most. His success shines through in his nomination for the C.J. Kok Jury Award 2024 for PhD thesis of the Year.
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Tom O'Brien
Faculty of Science
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Felix Frohnert
Faculty of Science
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Marc Farreras I Bartra
Faculty of Science
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Kaveh Lahabi
Faculty of Science
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Semonti Bhattacharyya
Faculty of Science
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Evert van Nieuwenburg
Faculty of Science
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Vasilii Bokov
Faculty of Science
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Vincent Croft-
Faculty of Science
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Julia Cramer
Faculty of Science
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Vincent Koeman
Faculty of Science
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Chenyu Shi
Faculty of Science
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Kristian Rietveld
Faculty of Science
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Eleftheria Makri
Faculty of Science
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Holger Hoos
Faculty of Science
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Riccardo Molteni
Faculty of Science
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Dunja Wackers
Faculty of Science
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Joon Hyung Lee
Faculty of Science
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Skip Thijssen
Faculty of Science
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Ben van Werkhoven
Faculty of Science
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Alina Karakanta
Faculty of Humanities
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Tom van der Reep
Faculty of Science
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Christos Athanasiadis
Faculty of Science
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Derya Soydaner
Faculty of Science
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Simon Portegies Zwart
Faculty of Science
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Xaver Funk
Social & Behavioural Sciences
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Philipp Kropf
Faculty of Science
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Peng Sun
Faculty of Science
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Roy de Kleijn
Social & Behavioural Sciences
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Anna Dawid-Lekowska
Faculty of Science
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Joost Batenburg
Faculty of Science
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Surendra Balraadjsing
Faculty of Science
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Tianyuan Wang
Faculty of Science
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Hanneke Leegwater
Faculty of Science
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Marcello Bonsangue
Faculty of Science
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Agnes Schneider
Faculty of Archaeology
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Juan Claramunt Gonzalez
Social & Behavioural Sciences
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Charles Berger
Faculty of Law
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A computational tool that will transform bacterial genome analysis
Whether a microbe is beneficial or harmful to a plant can now be predicted with high accuracy thanks to bacLIFE. This bioinformatic tool with an intuitive interface makes it much easier to unlock the secrets of bacterial genomes. A group of Leiden biologists presented it in Nature Communications.
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Diego Barbosa Arize Santos
Social & Behavioural Sciences
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Akrati Saxena
Faculty of Science
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Milco Wansleeben
Faculty of Archaeology
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Alan Kai Hassen
Faculty of Science
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André Mesquita Fery Antunes
Faculty of Science