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arXiv · 2510.01797

From quantum feature maps to quantum reservoir computing: perspectives and applications

Casper Gyurik·Filip Wudarski·Evan Philip·Antonio Sannia·Hossein Sadeghi·Oleksandr Kyriienko·Davide Venturelli·Antonio A. Gentile
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Abstract

We explore the interplay between two emerging paradigms: reservoir computing and quantum computing. We observe how quantum systems featuring beyond-classical correlations and vast computational spaces can serve as non-trivial, experimentally viable reservoirs for typical tasks in machine learning. With a focus on neutral atom quantum processing units, we describe and exemplify a novel quantum reservoir computing (QRC) workflow. We conclude exploratively discussing the main challenges ahead, whilst arguing how QRC can offer a natural candidate to push forward reservoir computing applications.

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Casper Gyurik, Filip Wudarski, Evan Philip, Antonio Sannia, Hossein Sadeghi, Oleksandr Kyriienko, Davide Venturelli, Antonio A. Gentile. 2025-10-02. From quantum feature maps to quantum reservoir computing: perspectives and applications. https://arxiv.org/abs/2510.01797

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