DOI | Resolve DOI: https://doi.org/10.1103/PhysRevA.110.042416 |
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Author | Search for: Kora, Youssef; Search for: Zadeh-Haghighi, Hadi; Search for: Stewart, Terrence C.1ORCID identifier: https://orcid.org/0000-0002-1445-7613; Search for: Heshami, Khabat2ORCID identifier: https://orcid.org/0000-0003-3864-1930; Search for: Simon, ChristophORCID identifier: https://orcid.org/0000-0003-0747-8800 |
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Affiliation | - National Research Council of Canada. Digital Technologies
- National Research Council of Canada. Quantum and Nanotechnologies
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Funder | Search for: National Research Council Canada; Search for: Natural Sciences and Engineering Research Council of Canada |
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Format | Text, Article |
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Subject | machine learning; quantum entanglement; quantum memories |
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Abstract | We study the performance of an Ising spin network for quantum reservoir computing in linear and nonlinear memory tasks. We investigate the extent to which quantumness enhances performance by monitoring the behavior of quantum entanglement, which we quantify by the partial transpose of the density matrix. In the most general case where the effects of dissipation are incorporated, our results indicate that the strength of the entanglement advantage depends on the frequency of the input signal; the benefit of entanglement is greater with more rapidly fluctuating signals, whereas a low-frequency input is better suited to a nonentangled reservoir. This may be understood as a condition for an entanglement advantage to manifest itself: the system’s quantum memory must survive long enough for the temporal structure of the input signal to reveal itself. We also find that quantum entanglement empowers a spin-network quantum reservoir to remember a greater number of temporal features |
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Publication date | 2024-10-15 |
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Publisher | American Physical Society (APS) |
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In | |
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Language | English |
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Peer reviewed | Yes |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | 84895143-634b-44fe-838f-45d7facd8838 |
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Record created | 2025-01-29 |
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Record modified | 2025-02-03 |
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