Dissipation as a resource for Quantum Reservoir Computing
Dissipation induced by interactions with an external environment typically hinders the performance of quantum computation, but in some cases can be turned out as a useful resource. We show the potential enhancement induced by dissipation in the field of quantum reservoir computing introducing tunabl...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2024-03-01
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| Series: | Quantum |
| Online Access: | https://quantum-journal.org/papers/q-2024-03-20-1291/pdf/ |
| _version_ | 1797254459897675776 |
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| author | Antonio Sannia Rodrigo Martínez-Peña Miguel C. Soriano Gian Luca Giorgi Roberta Zambrini |
| author_facet | Antonio Sannia Rodrigo Martínez-Peña Miguel C. Soriano Gian Luca Giorgi Roberta Zambrini |
| author_sort | Antonio Sannia |
| collection | DOAJ |
| description | Dissipation induced by interactions with an external environment typically hinders the performance of quantum computation, but in some cases can be turned out as a useful resource. We show the potential enhancement induced by dissipation in the field of quantum reservoir computing introducing tunable local losses in spin network models. Our approach based on continuous dissipation is able not only to reproduce the dynamics of previous proposals of quantum reservoir computing, based on discontinuous erasing maps but also to enhance their performance. Control of the damping rates is shown to boost popular machine learning temporal tasks as the capability to linearly and non-linearly process the input history and to forecast chaotic series. Finally, we formally prove that, under non-restrictive conditions, our dissipative models form a universal class for reservoir computing. It means that considering our approach, it is possible to approximate any fading memory map with arbitrary precision. |
| first_indexed | 2024-04-24T21:50:18Z |
| format | Article |
| id | doaj.art-97914b31bca4473d8dccbcb99660ba10 |
| institution | Directory Open Access Journal |
| issn | 2521-327X |
| language | English |
| last_indexed | 2024-04-24T21:50:18Z |
| publishDate | 2024-03-01 |
| publisher | Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften |
| record_format | Article |
| series | Quantum |
| spelling | doaj.art-97914b31bca4473d8dccbcb99660ba102024-03-20T16:14:23ZengVerein zur Förderung des Open Access Publizierens in den QuantenwissenschaftenQuantum2521-327X2024-03-018129110.22331/q-2024-03-20-129110.22331/q-2024-03-20-1291Dissipation as a resource for Quantum Reservoir ComputingAntonio SanniaRodrigo Martínez-PeñaMiguel C. SorianoGian Luca GiorgiRoberta ZambriniDissipation induced by interactions with an external environment typically hinders the performance of quantum computation, but in some cases can be turned out as a useful resource. We show the potential enhancement induced by dissipation in the field of quantum reservoir computing introducing tunable local losses in spin network models. Our approach based on continuous dissipation is able not only to reproduce the dynamics of previous proposals of quantum reservoir computing, based on discontinuous erasing maps but also to enhance their performance. Control of the damping rates is shown to boost popular machine learning temporal tasks as the capability to linearly and non-linearly process the input history and to forecast chaotic series. Finally, we formally prove that, under non-restrictive conditions, our dissipative models form a universal class for reservoir computing. It means that considering our approach, it is possible to approximate any fading memory map with arbitrary precision.https://quantum-journal.org/papers/q-2024-03-20-1291/pdf/ |
| spellingShingle | Antonio Sannia Rodrigo Martínez-Peña Miguel C. Soriano Gian Luca Giorgi Roberta Zambrini Dissipation as a resource for Quantum Reservoir Computing Quantum |
| title | Dissipation as a resource for Quantum Reservoir Computing |
| title_full | Dissipation as a resource for Quantum Reservoir Computing |
| title_fullStr | Dissipation as a resource for Quantum Reservoir Computing |
| title_full_unstemmed | Dissipation as a resource for Quantum Reservoir Computing |
| title_short | Dissipation as a resource for Quantum Reservoir Computing |
| title_sort | dissipation as a resource for quantum reservoir computing |
| url | https://quantum-journal.org/papers/q-2024-03-20-1291/pdf/ |
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