On Reducing the Amount of Samples Required for Training of QNNs: Constraints on the Linear Structure of the Training Data

Alexander Mandl, Johanna Barzen, Frank Leymann +1

Training classical neural networks generally requires a large number of training samples. Using entangled training samples, Quantum Neural Networks (QNNs) have the potential to sig…