Quantum Machine Learning: from Fundamentals to Applications
EQAI 2022 — European Summer School on Quantum AI
September 12-16, 2022 Udine, Italy
Motivation
Quantum Machine Learning is the most promising, sustainable future for Artificial Intelligence.
The application of Quantum Computing to ML/AI is one of the most exciting prospective applications of quantum research. It stems from a combination of physics, mathematics, information theory and computer science and has the potential to provide high computational power, less energy consumption and exponential speedup over classical computers. This will allow incredible advancements in various fields, tackling various issues such as complex physical simulations and optimization problems.
It is crucial to study ways to develop efficient and effective Quantum ML algorithms to take advantage of this new technology. There are also a lot of open challenges: the output of quantum computations is noisy and current quantum computers have a really limited memory. It is therefore of utmost importance to spread knowledge about this topic and involve new researchers who can contribute to its progress.
Objective
This summer school aims to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Quantum Machine Learning and Quantum AI. The courses will be delivered by world renowned experts in the field, from both academia and industry, and will cover both theoretical and practical aspects of real problems.
The school aims to provide a stimulating opportunity for young researchers and Ph.D. students. The participants will benefit from direct interaction and discussions with experts in this field. Participants will also have the possibility to present the results of their research, and to interact with their scientific peers, in a friendly and constructive environment.
