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.

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.

Vinicius Fonseca Hernandes joined QMAI first as a PhD candidate in October 2021, and, as a postdoc in 2025. 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. 

Sam Katiraee-Far joined QMAI in his master thesis in February 2024 and as a PhD student in August 2025. His research focuses on developing automated control strategies for spin qubits in quantum dots. Sam holds a bachelor's and master's degree in applied physics at TU Delft.

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.

Bianca Augusto joined QMAI in September 2025 for her master thesis. Her research is focused on neural networks for quantum many-body problems. Bianca holds a bachelor's degree in Physics Engineering from Instituto Superior Técnico, and is now in the second year of the Applied Physics master at TU Delft.

Marcus Kanestrøm joined QMAI in September 2025 for his master thesis. His research is focused on the physical implementation of quantum random walks in 2D materials. Marcus holds a bachelors degree in Physics from the University of Groningen. He is now in his second year of the Applied Physics master at TU Delft.

Joining QMAI in November 2025 as a postdoctoral researcher, Onur Danaci is funded by the NGF Quantum Delta Initiative's MAZeLTof-Q grant (Machine Assisted Zero-Knowledge Tune-up of Superconducting Qubits). His expertise, developed during previous postdoctoral research at the IBM-HBCU Quantum Center and Leiden University (aQa), focuses on applying advanced optimization and ML/RL methods with heavy compute to dynamically uncover quantum algorithms and hardware physical models. He holds a PhD in Physics and Computational Science from Tulane University, US, and champions model-based optimization and control.

Gonçalo Meneses joined QMAI in September 2025 for his master thesis. His research is focused on the realization of quantum algorithms using quantum random walks. Gonçalo holds a bachelor's degree in Engineering Physics from Instituto Superior Técnico and is currently in the second year of the Applied Physics master's program at TU Delft.  

Shobhna Singh joined QMAI as a postdoctoral researcher in July 2025 through the Ada Lovelace Fellowship, working jointly with Prof. Barbara Terhal. She holds a PhD in Physics from Cardiff University (“Constrained Models in Aperiodic Systems”). During her postdoc, Shobhna will focus on 2D topological order in qudit and rotor codes, as well as applications of neural and tensor network methods to study phase transitions.

Andrea Scalmato joined QMAI in October 2025 for his master thesis. His research is focused on applying machine learning to replicate chaotic dynamics, and connect numerical results with the theory of synchronized Hamiltonian systems. Andrea holds a bachelor’s degree in Engineering Physics from Politecnico di Milano. He is currently 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

Vinicius Fonseca Hernandes 

PhD THESIS: Bridging Simulation and Experiment in Nanoscience with AI

Key papers:

• Vinicius Hernandes, Eliska Greplova: Exploring Biological Neuronal Correlations with Quantum Generative Models, Cell Press Physical Science, Volume 6, Issue 8 (2025)

• Valentina Gualtieri, Charles Renshaw-Whitman, Vinicius Hernandes, Eliska Greplova: QDsim: A user-friendly toolbox for simulating large scale quantum dot devices, SciPost Phys. Codebases 46 (2025)

• Vinicius Hernandes, Anouk M. Heuvelmans, Valentina Gualtieri,  Dimphna H. Meijer, Geeske M. van Woerden, Eliska Greplova: autoMEA: Machine learning-based burst detection for multi-electrode array datasets, Front. Neurosci., 05 December 2024, Sec. Neuroscience Methods and Techniques, Volume 18 (2024)

Guliuxin Jin 

PhD THESIS: Topology in engineered quantum systems: Device design and artificial material implementation

Key papers:

• Guliuxin Jin, Eliska Greplova: Topological Entanglement Stabilization in Superconducting Quantum Circuits, Phys. Rev. Research 5, 023088 (2023)

• Guliuxin Jin, Dmytro Oriekhov, Lukas Splitthoff, Eliska Greplova: Topological finite-size effect in one dimensional chiral symmetric systems [arXiv:2411.17822]

• DO Oriekhov, Stan Bergkamp, Guliuxin Jin, Juan Daniel Torres Luna, Badr Zouggari, Sibren van der Meer, Naoual El Yazidi, Eliska Greplova: Why is topology hard to learn? [arXiv:2509.26261]

• Agnes Valenti, Guliuxin Jin, Julian Leonard, Sebastian Huber, Eliska Greplova: Scalable Hamiltonian learning for large-scale out-of-equilibrium quantum dynamics, Phys. Rev. Research 4, L012010 (2022)