Yearly holiday dinner.
Slacklining after work (Jin and Rouven pictured).
Celebrating Naoual's bachelor thesis defense.
Bouldering (Jin and Achmed pictured).
Post Barbie screening beers.
Friday after-work drinks.
Marking the EdX course launch.
Road trip to Nijmegen.
Anna Silva the QMAI as a postdoc in November 2023. Her main research focus on applying machine learning methods to efficiently estimate quantum state properties in quantum devices.
Guliuxin Jin joined QMAI as a PhD candidate in January 2021. Her research concerns efficient parameter estimation in large scale quantum systems and topological materials. Jin obtained her masters degree from ETH Zürich.
Arash Ahmadi joined QMAI as a PhD candidate in February 2021. His research project concerns study of condensed matter systems using tools from quantum information and artifical intelligence. Arash obtained his BSc and MSc from the Institute for Advanced Studies in Basic Sciences in Iran.
Vinicius Fonseca Hernandes joined QMAI as a PhD candidate in October 2021. Vinicius holds a bachelor’s and a master’s degree in Physics from the Federal University of Pelotas, Brazil. In his PhD, Vinicius is going to implement new artificial intelligence methods to efficiently control quantum devices.
Stan Bergkamp joined QMAI in September 2023 for his master thesis. His work mainly focusses on machine learning techniques for detection of complex phase transitions. Stan holds an Applied Physics bachelor's degree from the TU Delft and now he is at the second year of his MSc Applied Physics studies at TU Delft.
Mohammed Boky joined QMAI in April 2023 for his master thesis. His research project focuses on neural network quantum states and quantum information. Mohammed holds the bachelor degree in Applied Physics at TU Delft and now he is in the second year of his MSc Applied Physics studies at TU Delft.
Sibren van der Meer joined QMAI in October 2022 as a master student. For his thesis project, he is working on machine learning algorithms to recognize topological phases in condensed matter models. He obtained his bachelor’s degree in Applied Physics at the TU Delft and he is now in his final year of the master Applied Physics.
Valentina Gualtieri joined QMAI as a masters student in January 2022 and as PhD student in January 2023. She is working on automated tuning and control of large scale quantum devices.
Valentina holds a bachelor’s degree in Physics from the University of Milan and masters degree in Applied Physics from TU Delft.
Aram Shojaei is a master student vising QMAI from University of Padova. She is working with us on machine learning automation of the control and calibration of quantum internet nodes.
After joining QMAI in November 2023, Thomas Spriggs works on using quantum machine learning to tackle previously intractable calculations concerning high energy physics, particularly lattice gauge theories. He obtained his undergraduate and master's degree in theoretical physics at Durham University before completing his PhD at Swansea University researching lattice gauge theories using classical computing.
Dmytro Oriekhov joined QMAI as a postdoc in November 2023. Dmytro holds PhD degree in Physics from Leiden University with a title “On quantum transport in flat-band materials”. During the postdoc, Dmytro will focus on different applications of novel materials for quantum devices.
Çağan Karaca joined QMAI in september 2023 for his master thesis. His research project focusses mainly on the investigation of phase transitions in magic in quantum circuits. Çağan holds his bachelor degree from The Hague University of Applied Sciences and is now in the second year of his MSc Applied Physics at TU Delft.
Achmed Marif, Ignacio Fernández Graña, Charles Renshaw-Whitman, Genya Crossmann, Antón Rodriguez Otero, Bokai Chen, Rouven Koch, Imelda Romero, Luca Rüegg, Rana Karababa, Maia Rigot, Jan Li, Isidora Araya, Radoica Draskic, Yitao Sun, Calvin Dijksman, Oumaima Arichi, Naoual El Yazidi, Tanko Tanev.