In the "2nd Workshop on Machine Learning for Quantum Technology" we aim to attract researchers interested in the use of classical ML/AI techniques to advance the development of quantum technologies in a broad sense. Some examples would be analyzing quantum measurements, estimating the parameters of quantum devices, discovering new quantum experimental setups, protocols, and feedback strategies, and generally improving aspects of quantum computing, quantum communication, and quantum simulation. See the review paper here for more relevant topics.
This meeting will consist of a first day of lectures/tutorials (November 5th), followed by a workshop from November 6th to November 8th. We will have invited talks, contributed talks and poster sessions. See the 1st edition of the workshop in 2019 here.
The list of confirmed invited speakers is available here.
Information about the registration, as well as the detailed schedule, will be provided soon.
