The workshop is aimed towards quantum physicists (both theory and experiment) and computer scientists interested in the intersection of machine learning and quantum physics. To confirm your attendance please fill out the Google form as soon as you can. If you don’t provide us with title and abstract of your contribution when filling out the form please send them to us by 29th of February.

A draft program for this year can be viewed here while program and list of participants from the 1st edition of the workshop can be accessed on 2023 website.

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

Organizers

• Jörg Schmiedmayer, TU Wien Atominstitut
• Marcus Huber, TU Wien Atominstitut & IQOQI
• Yelena Guryanova, IQOQI
• Paul Erker, TU Wien Atominstitut & IQOQI
• Tomasz Andrzejewski, TU Wien Atominstitut

Contact

Click here for further information.

Write to us at tomasz.andrzejewski@tuwien.ac.at with any questions or feedback.