Quantum recurrent neural networks
Viktoria Schmiesing - Leibniz University Hannover
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/95581983776?pwd=WHdRWTZSTW5UeW5MSmtnVjJPckYzQT09 Computer and Space Sciences Building (CSS)
I will talk about quantum recurrent neural networks based on quantum dissipative neural networks (DQNNs), which use quantum neural networks to describe general causal quantum automata. I will first introduce feed-forward DQNNs and then go to the recurrent case. After discussing the architecture and universality, I will discuss training algorithms and numerical results showing good generalisation behaviour.
This talk is organized by Andrea F. Svejda