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Found 3 papers, 1 papers with code
Distributed Quantum Neural Networks via Partitioned Features Encoding
To mitigate these challenges, an approach using distributed quantum neural networks has been proposed to make a prediction by approximating outputs of a large circuit using multiple small circuits.
Quantum Kernel t-Distributed Stochastic Neighbor Embedding
Since quantum states are higher dimensional objects that can only be seen via observables, our visualization method, which inherits the similarity of quantum data, would be useful in understanding the behavior of quantum circuits and algorithms.
Parametric t-Stochastic Neighbor Embedding With Quantum Neural Network
In this paper, we propose to use quantum neural networks for parametric t-SNE to reflect the characteristics of high-dimensional quantum data on low-dimensional data.
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