Data publication: A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification
Data publication: A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification
Konar, D.; Sarma, A. D.; Bhandary, S.; Bhattacharyya, S.; Cangi, A.; Aggarwal, V.
The PyTorch implementation of SQNN is available on Github at https://github.com/darthsimpus/ASOC
Keywords: Quantum machine learning; Spiking neural networks; Variational quantum circuit; Hybrid classical-quantum neural networks
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- DOI: 10.1016/j.asoc.2023.110099 references this (Id 36551) publication
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A shallow hybrid classical-quantum spiking feedforward neural network for …
ROBIS: 36546 has used this (Id 36551) publication of HZDR-primary research data
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Reseach data in external data repository
Publication year 2023
License: Common
Hosted on Github: Link to location
Permalink: https://www.hzdr.de/publications/Publ-36551
Publ.-Id: 36551
