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arxiv:2307.01017
Scalable quantum neural networks by few quantum resources
Published on Jul 3, 2023
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Abstract
A quantum model using swap tests and measurement protocols is constructed, equivalent to a two-layer feedforward neural network using small quantum modules.
AI-generated summary
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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