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

• URL: http://arxiv.org/abs/2510.01797v1
• Date: Thu, 02 Oct 2025 08:38:16 GMT
• Title: From quantum feature maps to quantum reservoir computing: perspectives and applications
• Authors: Casper Gyurik, Filip Wudarski, Evan Philip, Antonio Sannia, Hossein Sadeghi, Oleksandr Kyriienko, Davide Venturelli, Antonio A. Gentile,
• Abstract summary: We observe how quantum systems featuring beyond-classical correlations can serve as non-trivial, experimentally viable reservoirs for typical tasks in machine learning.<n>With a focus on neutral atom quantum processing units, we describe and exemplify a novel quantum reservoir computing (QRC) workflow.
• Score: 12.929971184807956
• License: http://creativecommons.org/publicdomain/zero/1.0/
• 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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