Explorations in Quantum Neural Networks with Intermediate Measurements
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.
- Veröffentlicht in:
ESANN European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) - Typ:
Inproceedings - Autoren:
B. Georgiev, L. Franken - Jahr:
2020
Informationen zur Zitierung
B. Georgiev, L. Franken: Explorations in Quantum Neural Networks with Intermediate Measurements, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), ESANN, 2020, https://www.semanticscholar.org/paper/Explorations-in-Quantum-Neural-Networks-with-Franken-Georgiev/000ffcf8826897d666974e5180fe1f4b65b6a36f, Georgiev.Franken.2020,
@Inproceedings{Georgiev.Franken.2020,
author={B. Georgiev, L. Franken},
title={Explorations in Quantum Neural Networks with Intermediate Measurements},
booktitle={European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)},
journal={ESANN},
url={https://www.semanticscholar.org/paper/Explorations-in-Quantum-Neural-Networks-with-Franken-Georgiev/000ffcf8826897d666974e5180fe1f4b65b6a36f},
year={2020},
abstract={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...}}