Distributed QNNs with partitioned feature encoding achieve >96% accuracy on MNIST 10-class classification using ensembles of small circuits.
Quantum Information Processing 13(11), 2567–2586 (2014)
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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.