In this short note we explore a few quantum circuits withthe particular goal of basic image recognition. The models we study areinspired by recent progress in Quantum Convolution Neural Networks(QCNN). We present a few experimental results, where we attempt tolearn basic image patterns motivated by scaling down the MNIST dataset.
Explorations in Quantum Neural Networks with Intermediate Measurements
Type: Inproceedings
Author: B. Georgiev, L. Franken
Journal: ESANN
Year: 2020
Citation information
B. Georgiev, L. Franken:
Explorations in Quantum Neural Networks with Intermediate Measurements.
ESANN,
2020,
https://www.semanticscholar.org/paper/Explorations-in-Quantum-Neural-Networks-with-Franken-Georgiev/000ffcf8826897d666974e5180fe1f4b65b6a36f