Scalable quantum neural networks by few quantum resources

Davide Pastorello; Enrico Blanzieri

doi:10.1142/s0219749924500187

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arXiv · 2307.01017

Scalable quantum neural networks by few quantum resources

Davide Pastorello·Enrico Blanzieri

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Abstract

This paper focuses on the construction of a general parametric model that can be implemented executing multiple swap tests over few qubits and applying a suitable measurement protocol. The model turns out to be equivalent to a two-layer feedforward neural network which can be realized combining small quantum modules. The advantages and the perspectives of the proposed quantum method are discussed.

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Davide Pastorello, Enrico Blanzieri. 2023-07-03. Scalable quantum neural networks by few quantum resources. https://doi.org/10.1142/s0219749924500187

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