Learning in the Quantum Regime

Developments in recent years have pushed for execution in the cloud and, with the end of Moore's law, alternative computing paradigms are heavily investigated. Among these is quantum computing, which is, among others, studied for its potential to process today's data. Further, the heterogeneity of data centers poses significant challenges, which will be investigated in this thesis. We aim to address key challenges in future data centers and explore the potential of quantum technology to advance Machine Learning.