Anna Dawid
, Uniwersytet Warszawski, Poland
Anna Dawid just transitioned from a research fellow at the Flatiron Institute, New York, to an assistant professor at Leiden University. She holds a PhD in quantum physics awarded by the University of Warsaw and the Institute of Photonic Sciences (ICFO). Her research spans interpretable ML for scientific discovery, quantum simulations, and foundations of deep learning.
Julian Arnold
, Universität Basel, Switzerland
Julian Arnold is a theoretical physicist working at the interface between the quantum sciences, information theory, and machine learning (ML). His research includes the design of methods for the automated detection of phase transitions and the application of differentiable programming to solve inverse design problems in quantum many-body physics.
Borja Requena
, ICFO - The Institute of Photonic Sciences
Borja Requena develops ML algorithms for scientific and engineering applications. He received his PhD at ICFO in 2024 with contributions spanning multiple fields, from quantum to biophysics. Borja has experience in deep-tech and AI companies such as Axiomatic AI, Xanadu Quantum Technologies, and Telefonica R&D, and he has been highly ranked in ML and quantum computing competitions.
Alexander Gresch
, Heinrich-Heine-Universität Düsseldorf
Alexander Gresch (PhD student at the universities of Düsseldorf and Hamburg) is a theoretical physicist specializing in mathematical and machine learning methods in the context of quantum technologies. This includes, in particular, the efficient and accurate read-out of hybrid quantum algorithms and the role of quantum data for machine learning.
Marcin Płodzień
, ICFO - The Institute of Photonic Sciences
Marcin Płodzień (PhD, 2014, Jagiellonian University) is Research Fellow at ICFO, specializing in theoretical physics with a focus on many-body quantum systems and quantum information theory. His research interests include quantum simulators and quantum metrology, entanglement and Bell correlations, quantum reservoir computing, and applications of ML to quantum mechanics.
Kaelan Donatella
, Université de Paris VII (Denis Diderot)
Kaelan Donatella is a Franco-Irish physicist trained at Ecole Normale Supérieure and the University of Paris. His interests range from quantum computing to the history and philosophy of science, with recent work being focused on analog computing for artificial intelligence.
Kim A. Nicoli
, University of Bonn
Kim A. Nicoli is a postdoctoral researcher at the Helmholtz Institute for Radiation and Nuclear Physics and the University of Bonn. He got his PhD in ML from Technical University of Berlin in 2023. His research interests extend across probabilistic modeling, variational inference, generative models, lattice quantum field theory, quantum computing, and neuromorphic computing.
Paolo Stornati
, ICFO - The Institute of Photonic Sciences
Paolo Stornati is a postdoctoral researcher in quantum simulation and quantum many-body theory. He has a deep interest in the development of novel numerical tools to study exotic phases of matter and lattice gauge theories.
Rouven Koch
, Aalto University, Finland
Rouven Koch is a doctoral researcher at Aalto University, working at the intersection of condensed matter theory and ML. His research focuses on the combination of theory and experiments with the help of AI. Personally, he is interested in daily-life applications of AI.
Miriam Büttner
, Albert-Ludwigs-Universität Freiburg, Germany
Miriam Büttner earned her MSc in molecular science at the Friedrich-Alexander University of Erlangen-Nuremberg. In 2017, she went to Shenzhen, China, for an elective Master's project on ML in quantum chemistry and has since then been growing her ML knowledge. She is currently doing her PhD in many-body physics.
Robert Okuła
, Gdańsk University of Technology
Robert Okuła is a PhD student interested in all things quantum, especially quantum cryptography and quantum Darwinism. He considers ML to be a useful tool in that regard.
Gorka Muñoz-Gil
, Universität Innsbruck, Austria
Gorka Muñoz-Gil is a Marie Skłodowska-Curie fellow in Innsbruck University. Before, he received his PhD at ICFO (Spain) for the study of stochastic processes and their connection to ML. His research focuses on the application of ML techniques to a variety of topics, with a special interest in interpretable solutions.
Rodrigo A. Vargas-Hernández
, McMaster University, Ontario
Rodrigo A. Vargas-Hernández’s main research interest is the development of numerical tools that could help us crack the exponential wall to simulate quantum systems.
Alba Cervera-Lierta
, Centro Nacional de Supercomputación
Alba Cervera-Lierta is a Senior Researcher at the Barcelona Supercomputing Center. She earned her PhD in Physics at the University of Barcelona. She works on near-term quantum algorithms and their applications. Since October 2021, she is the coordinator of the Quantum Spain project, an initiative to boost the Spanish quantum computing ecosystem.
Juan Carrasquilla
, Swiss Federal Institute of Technology in Zurich
Juan Carrasquilla’s research interests are at the intersection of condensed matter physics, quantum computing, and ML. He completed his PhD in Physics at SISSA. Juan has recently been appointed an associate professor of computational physics at ETH Zürich.
Vedran Dunjko
, Universiteit Leiden
Vedran Dunjko’s research interest lies in the intersection of computer science and quantum physics, including quantum computing and quantum cryptography. For over 10 years he has been focusing on the interplay between quantum computing, machine learning, and artificial intelligence, publishing over 50 research papers in this area.
Marylou Gabrié
, Institut Polytechnique de Paris
Marylou Gabrié is assistant professor at Ecole Polytechnique since 2022. She was awarded a fellowship from L'Oréal-UNESCO For Women in Science program during her PhD in École Normale Supérieure in 2019. Her research lies at the boundary of machine learning and statistical physics.
Patrick Huembeli
Patrick Huembeli earned his PhD at ICFO, bridging ML with quantum information. He was a postdoctoral researcher at EPFL, combining classical ML and quantum computing. Currently, he is a staff scientist at a stealth startup focusing on probabilistic ML software and hardware.
Evert van Nieuwenburg
, Universiteit Leiden
Evert van Nieuwenburg might be known from the “confusion scheme” or perhaps from TiqTaqToe. He researches ML for quantum systems and often tries to gamify quantum challenges so that AI can learn to play and solve them.
Filippo Vicentini
, Institut Polytechnique de Paris
Filippo Vicentini is a computational quantum physicist who develops innovative ML-inspired algorithms. He has been awarded the ATOS-Fourier prize for AI in sciences in 2019 and has led the NetKet open software collaboration since.
Lei Wang
, Chinese Academy of Sciences, Beijing
Lei Wang is a computational quantum physicist. His Erdős number is 2.
Sebastian J. Wetzel
, University of Waterloo, Ontario
Sebastian Wetzel’s research interest is AI in the physical sciences, where his most important contributions are related to using ML to calculate phase diagrams and artificial scientific discovery through the interpretation of neural networks.
Giuseppe Carleo
, École Polytechnique Fédérale de Lausanne
Giuseppe Carleo is a computational physicist, best known for pioneering ML tools for quantum systems. He holds a PhD from the International School for Advanced Studies in Italy (SISSA, 2011) and worked at the National Centre for Scientific Research (France), ETH Zürich (Switzerland), and the Flatiron Institute (USA). Since 2018, he is a professor at the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland, leading the Computational Quantum Science Lab.
Eliška Greplová
, Technische Universiteit Delft, The Netherlands
Eliška Greplová is an associate professor at Kavli Institute of Nanoscience at Delft University of Technology in the Netherlands. Eliška leads the QMAI group working at the intersection of quantum technologies, artificial intelligence, and condensed matter physics.
Roman Krems
, University of British Columbia, Vancouver
Roman Krems is a professor of chemistry and Distinguished University Scholar at the University of British Columbia in Vancouver, Canada. He is also a member of the computer science department and a principal investigator at the Stewart Blusson Quantum Matter Institute.
Florian Marquardt
, Max-Planck-Institut für die Wissenschaft des Lichts
Florian Marquardt is a theoretical physicist working at the intersection between ML and physics, as applied to nanophysics and quantum optics. Since 2016, he is a scientific director in the Max Planck Society, leading the theory division at the Max Planck Institute for the Science of Light. His long-term vision is true artificial scientific discovery.
Michał Tomza
, Uniwersytet Warszawski
Michał Tomza is a professor of theoretical physics at the University of Warsaw. He specializes in physics of ultracold quantum matter, including interactions and collisions of ultracold atoms, ions, and molecules. He won the ERC Starting Grant and National Science Center Award in Physical Sciences and Engineering, and is a member of the Polish Young Academy.
Maciej Lewenstein
, ICFO - Institute of Photonic Sciences
Maciej Lewenstein studied in Warsaw, was on the faculty of the Center for Theoretical Physics, Polish Academy of Sciences, French Alternative Energies and Atomic Energy Commission Paris-Saclay center, Universität Hannover, and is presently at ICFO. He is a Fellow of American Physical Society and Optica, has an H-index of 107 (WoS) and 134 (Google).
Alexandre Dauphin
, Instituto de Ciencias Fotónicas
Alexandre Dauphin is VP quantum simulation at PASQAL, a neutral-atom quantum computing company. During his career, he has worked on a broad range of topics going from quantum simulation of many-body phases of matter to ML applied to physics and quantum machine learning. He is the recipient of the New Journal of Physics (NJP) Early Career Award 2019. He is a member of the editorial board of NJP since 2020 and a member of European Laboratory for Learning and Intelligent Systems since 2021.
