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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.01797 |
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| _version_ | 1866912623017066496 |
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| author | Gyurik, Casper Wudarski, Filip Philip, Evan Sannia, Antonio Sadeghi, Hossein Kyriienko, Oleksandr Venturelli, Davide Gentile, Antonio A. |
| author_facet | Gyurik, Casper Wudarski, Filip Philip, Evan Sannia, Antonio Sadeghi, Hossein Kyriienko, Oleksandr Venturelli, Davide Gentile, Antonio A. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_01797 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | From quantum feature maps to quantum reservoir computing: perspectives and applications Gyurik, Casper Wudarski, Filip Philip, Evan Sannia, Antonio Sadeghi, Hossein Kyriienko, Oleksandr Venturelli, Davide Gentile, Antonio A. Quantum Physics 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. |
| title | From quantum feature maps to quantum reservoir computing: perspectives and applications |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2510.01797 |