English | EN 
Quantum machine learning offers exciting opportunities to learn faster with fewer data. However, finding the right models and applications is as much a science as an art. There is a rich theory on generalisation, expressivity, and learnability from computer sciences, and physics. However, the terminology can be confusing, and restricting to what’s provable can be severely limiting.
Therefore, in this talk, we’ll cover both the theory and best practices in quantum machine learning.