Machine Learning 2024 Obergurgl

Machine Learning and Quantum Physics Workshop 2024 Obergurgl

Dates: 24.03.2024-01.04.2024 (scientific program on 25.03-31.03)

Location: Universitätszentrum Obergurgl which belongs to University of Innsbruck and is located in the center of the Öztaler Alpen

The workshop is aimed towards quantum physicists (both theory and experiment) and computer scientists interested in the intersection of machine learning and quantum physics. 1st edition of the workshop took place in 2023.

You can now see list of abstracts and talk schedule. Please let us know if you’d rather present some other time.

Topics

The workshop brings together research on machine learning for quantum and quantum for machine learning with example topics including but not limited to:

machine learning for quantum optimal control and quantum device control

quantum tomography

neural quantum states

machine learning assisted quantum experiments

quantum enhanced machine learning

machine learning for quantum compilation

and

quantum machine learning

quantum learning theory

quantum kernels

quantum algorithms for machine learning tasks

quantum enhanced machine learning

quantum Monte Carlo

Participants

Armando Angrisani, EPFL

Natalia Ares, University of Oxford

Alice Barthe, CERN / Leiden University

Nataliia Bazhan, TU Wien Atominstitut

Isobel Bicket, TU Vienna Atomic Institute

Alexander Boyd, Trinity College Dublin

Carlos Bravo-Prieto, FU Berlin

Andrew Briggs, University of Oxford

Piotr Czarnik, Jagiellonian University

Anna Dawid, Flatiron Institute

Vincenzo De Maio, TU Vienna

Mina Doosti, University of Edinburgh

Sebastian Erne, TU Wien Atomic Institute

Federico Fedele, University of Oxford

Anton Frisk Kockum, Chalmers University of Technology

Mats Granath, University of Gothenburg

Sabrina Herbst, TU Vienna

Mario Herrero Gonzalez, University of Edinburgh

Miroslav Jezek, Palacky University Olomouc

Mario Krenn, Max Planck Institute for the Science of Light

Maciej Koch-Janusz, Haiqu, Inc. / University of Zurich

Adrià Labay Mora, IFISC

Jonas Landgraf, Max Planck Institute for the Science of Light

Eliott Mamon, University of Edinburgh

Francis Marcellino, University of Geneva

Florian Marquardt, Max Planck Institute for the Science of Light

Alexey Melnikov, Terra Quantum

Ioana Moflic, Aalto University

Frederik Møller, TU Vienna

Gorka Muñoz-Gil, University of Innsbruck

Taufiq Murtadho, Nanyang Technological University

Alexander Nietner, Free University of Berlin

Jan Olle, Max Planck Institute for the Science of Light

Alexandru Paler, Aalto University

Adrián Pérez Salinas, Leiden University

Hendrik Poulsen-Nautrup, University of Innsbruck

Kevin Purkhauser, University of Vienna

Phila Rembold, TU Wien

Pablo Rodriguez, University of the Basque Country

Nayeli A. Rodriguez Briones, TU Vienna

Manuel S. Rudolph, EPFL

Asel Sagingalieva, Earth Quantum

Aslihan Sasmaz, TU Vienna

Philipp Schindler, University of Innsbruck

Jonas Schuff, University of Oxford

Andreas Trügler, Know-Center, Graz University of Technology

Agnes Valenti, Flatiron Institute CCQ

Dominik Vašinka, Palacky University Olomouc

Filippo Vicentini, Polytechnic School

Chirag Wadhwa, University of Edinburgh

Maximilian Weimar, TU Vienna

Rugway Wu, TU Vienna Atomic Institute

Zhenghao Yin, University of Vienna

Tiantian Zhang, Atomic Institute, TU Vienna

Christa Zoufal, IBM Quantum

Pictures

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Machine Learning and Quantum Physics Workshop, Obergurgl

Machine Learning and Quantum Physics Workshop 2024 Obergurgl

Topics

Participants

Organizers

Contact

Sponsors

Pictures

Machine Learning and Quantum Physics Workshop, Obergurgl

Machine Learning and Quantum Physics Workshop 2024 Obergurgl

Topics

Participants

Organizers

Contact

Sponsors

Pictures

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