Beatrix C. Hiesmayr

The impact of architecture and cost function on dissipative quantum neural networks

Abstract Combining machine learning and quantum computation is a potential path towards powerful applications on quantum devices. Among such approaches, quantum neural networks have emerged as a promising framework. In this work, we present a novel architecture for dissipative qu...