Distributed QNNs with partitioned feature encoding achieve >96% accuracy on MNIST 10-class classification using ensembles of small circuits.
Nature Computational Science1(6), 403–409 (2021) 8
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Distributed Quantum Neural Networks via Partitioned Features Encoding
Distributed QNNs with partitioned feature encoding achieve >96% accuracy on MNIST 10-class classification using ensembles of small circuits.