QMAI Team

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.

Ana Silva joined 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.

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.

Rouven Koch joined QMAI in November 2024 as a postdoc. He holds a joined appoitnment between QMAI and Anasua Chatterjee group at QuTech. His research focusses on automated operation of spin qubits. Rouven holds a PhD from Aalto University in Finland. 

Aram Shojaei first joined QMAI as a master student vising from University of Padova. She re-joined the group as PhD candidate in 2024. She is working with us on machine learning automation of the control and calibration of quantum computing chips. 

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.

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.

Peter Schaefers joined QMAI in November 2024 for his master thesis. His research is focused on the readout of superconducting qubits. Peter holds a bachelor's degree in Applied Physics from TU Delft and he is now in his second year of the Quantum Information Science and Technology master at TU Delft.

Varsha Nair joined QMAI in October 2024 for her master thesis. Her research is focused on automated tuning of quantum dot devices. Varsha holds a Bachelor's degree in Electrical and Electronics Engineering with a minor in Physics from National Institute of Technology Karnataka. She is now in her second year of Applied Physics master program at TU Delft.

Marit Piek joined QMAI in February 2025 for her master thesis. Her research is focused on applying machine learning models to study phase transitions in quantum many-body systems. Marit holds the bachelor's degrees Applied Physics and Applied Mathematics from TU Delft. She is now in the second year of the Applied Physics master at TU Delft.

Arash Ahmadi

PhD THESIS: Magic of Fluctuations: From Fluctuations in Quantum Information to Magic Resources

Key papers: 

• Arash Ahmadi, Eliska Greplova: Quantifying quantum computational complexity via information scrambling, SciPost Phys. 16, 043 (2024)

• Thomas Spriggs, Arash Ahmadi, Bokai Chen, Eliska Greplova: Quantum resources of quantum and classical variational methods, 2025 Mach. Learn.: Sci. Technol. 6 015042

• Arash Ahmadi, Jonas Helsen, Cagan Karaca, Eliska Greplova: Mutual information fluctuations and non-stabilizerness in random circuits, arxiv:2408.03831