Jacob Fronzaglia

Stable and compute-resource efficient learning with spiking and quantum neural networks

This thesis investigates stable learning and compute-resource efficiency on spiking neural networks and hybrid classical-quantum neural networks, which have become more complex architectures such as spiking neural networks and quantum neural networks.