Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems

Autor: Martínez-Peña, R., Nokkala, J., Giorgi, G. L., Zambrini, R., Soriano, M. C.

The dynamical behaviour of complex quantum systems can be harnessed for information processing. With this aim, quantum reservoir computing (QRC) with Ising spin networks was recently introduced as a quantum version of classical reservoir computing. I

Externí odkaz: http://arxiv.org/abs/2010.06369

Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems.

Autor: Martínez-Peña, R., Nokkala, J., Giorgi, G. L., Zambrini, R., Soriano, M. C.

Publikováno v: Cognitive Computation; Sep2023, Vol. 15 Issue 5, p1440-1451, 12p

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Reconfigurable optical implementation of quantum complex networks

Autor: Nokkala, J, Arzani, Francesco, Galve, F, Zambrini, R, Maniscalco, S, Piilo, J, Treps, Nicolas, Parigi, V

Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
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New Journal of Physics
New Journal of Physics, Institute of Physics: Open Access Journals, 2018, 20, pp.053024. ⟨10.1088/1367-2630/aabc77⟩

Network theory has played a dominant role in understanding the structure of complex systems and their dynamics. Recently, quantum complex networks, i.e. collections of quantum systems arranged in a non-regular topology, have been theoretically explor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e89e85c6a2ac152b53349a3c46f3b180
http://hdl.handle.net/10261/189028

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