
Each session starts at 3:00 PM Central European Summer Time (UTC+2).
Click the speaker name/title for more details on each talk, including the time of the talk in your local timezone

Monday 5 July
Quantum Learning Algorithms
05 July
3:00 pm - 3:15 pm
Welcome
05 July
3:15 pm - 3:30 pm
QST at the European Campus
05 July
3:30 pm - 4:00 pm
Alba Cervera Lierta (University of Toronto, Canada)
The Meta-Variational Quantum Eigensolver
05 July
4:30 pm - 5:00 pm
Anna Leonteva (University of Strasbourg, France)
Quantum-inspired Evolutionary Algorithms to Quantum Computational Intelligence
05 July
5:00 pm - 5:20 pm
Borja Requena (ICFO, Spain)
Certificates of quantum many-body properties assisted by machine learning
05 July
5:20 pm - 5:40 pm
Mohamed Hibat-Allah (University of Waterloo and the Vector Institute for Artificial Intelligence)
Variational Neural Annealing
05 July
5:40 pm - 6:30 pm
Networking session
No event found!

Tuesday 6 July
Machine Learning for the development of Quantum Computers
06 July
3:00 pm - 3:30 pm
Simone Montangero (Padua University)
Tensor network machine learning
06 July
3:30 pm - 4:00 pm
Benoit Vermersch (University of Grenoble-Alpes, France)
Randomized measurement protocols to benchmark my quantum device
06 July
4:30 pm - 5:00 pm
Yuval Baum (Q-CTRL, USA)
Autonomous quantum computer tuneup and gate-design with deep reinforcement learning
06 July
5:00 pm - 5:20 pm
Shai Machnes (Forschungszentrum Jülich)
Machine-learning tools for Control, Calibration and Characterization of QPUs and other quantum devices
06 July
5:20 pm - 5:40 pm
Felix Motzoi (Forschungszentrum Jülich, PGI-8)
Learning to optimize quantum computers
06 July
5:40 pm - 6:30 pm
Networking session
No event found!

Wednesday 7 July
Machine Learning for Quantum Systems
07 July
3:00 pm - 3:30 pm
Alexander Eisfeld (MPIPKS Dresden, Germany)
Gaussian Process Regression for Parameter Optimization and Estimation
07 July
3:30 pm - 4:00 pm
Yahya Saleh (CFEL, DESY and Universität Hamburg, Germany)
Active and spectral learning for the quantum dynamics of weakly-bound molecular complexes
07 July
4:30 pm - 5:00 pm
Mario Krenn (University of Toronto, Canada)
A journey from computer-designed Quantum Experiments to computer-inspired Scientific Understanding
07 July
5:00 pm - 5:20 pm
Paula García-Molina (IFF-CSIC)
Variational quantum algorithm for eigenvalue problems of a class of Schrödinger-type partial differential equations
07 July
5:20 pm - 5:40 pm
Tobias Schmale (Kirchhoff-Institut für Physik, Heidelberg, Germany)
Machine Learning Based State Tomography for Open Quantum Systems
07 July
5:40 pm - 6:30 pm
Networking session
No event found!

Thursday 8 July
Machine Learning for Chemistry and Materials
08 July
3:00 pm - 3:30 pm
Anatole von Lilienfeld (University of Vienna, Austria)
Machine Learning for Quantum Chemistry
08 July
3:30 pm - 4:00 pm
Rosa Di Felice (University of Southern California and CNR-NANO)
Quantum machine learning applied to a simplified molecular biology problem
08 July
4:30 pm - 5:00 pm
Marcin Płodzień (Polish Academy of Sciences)
Machine Learning assisted identification of topological invariants
08 July
5:00 pm - 5:20 pm
Moritz Reh (Kirchhoff-Institut für Physik, Universität Heidelberg)
Time-dependent variational principle for open quantum systems with artificial neural networks
08 July
5:20 pm - 5:40 pm
Chris Self (Imperial College London)
Using Bayesian optimisation and information sharing to solve multiple quantum variational problems in parallel
08 July
5:40 pm - 6:30 pm
Networking session
No event found!

Friday 9 July
Machine Learning and Quantum for Industry
09 July
3:00 pm - 3:30 pm
Peter Pinski (HQS Quantum Simulations GmbH, Germany)
Potential energy surface models of molecules from multi-reference electronic structure calculations
09 July
3:30 pm - 4:00 pm
Michael Overdick (SICK AG, Germany)
Machine Learning for Sensors and Automation
09 July
4:30 pm - 5:00 pm
Edoardo Tignone (Leithà Srl., Italy)
Quantum Algorithms for Graph Analytics
09 July
5:00 pm - 5:30 pm
Tennin Yan (Qunasys)
How can quantum machine learning achieve something classical machine learning cannot? An idea to learn quantum data from quantum chemistry
09 July
5:30 pm - 6:00 pm
Networking session
No event found!