Requirements in computational workloads are ever-increasing, and the end of Moore’s law has triggered much research on alternative computing paradigms. The heterogeneity of devices poses significant challenges to modern data centers, with profound implications on the future computing stack. In her dissertation, Sabrina Herbst aims to address key challenges in future data centers and explore the potential of quantum technology to advance Machine Learning.

Sabrina was among the stipend recipients of the netidee Call 20 funding program for her project “Learning in the Quantum Regime.”

See the blogpost on netidee for a deeper insight into Sabrina’s reserach.