Alva Höglund

In recent years, machine learning has become an increasingly common tool due to its ability to analyze data and learn patterns.  My research interest lies in exploring how we can utilize concepts from machine learning to develop quantum mechanical systems capable of processing information. One such system is a network of coupled quantum dots. For example, we can harness the complex dynamics of coupled quantum dots and combine them with simple machine learning models to forecast time series or predict properties of unknown quantum states.