Forecasting low-dimensional turbulence via multi-dimensional hybrid quantum reservoir computing.

Salatino L, Mariani L, Giordano A, D'Amore F, Mastroianni C, Pontieri L, Vinci A, Gencarelli C, Primavera L, Plastina F, Settino J, Carbone F

Open source

DOI
10.1063/5.0334540
Published
2026 Aug 1
Container
Chaos (Woodbury, N.Y.)
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1063/5.0334540,
  title = {Forecasting low-dimensional turbulence via multi-dimensional hybrid quantum reservoir computing.},
  author = {Salatino L and Mariani L and Giordano A and D'Amore F and Mastroianni C and Pontieri L and Vinci A and Gencarelli C and Primavera L and Plastina F and Settino J and Carbone F},
  year = {2026},
  journal = {Chaos (Woodbury, N.Y.)},
  doi = {10.1063/5.0334540},
  url = {https://doi.org/10.1063/5.0334540}
}

RIS

TY  - JOUR
TI  - Forecasting low-dimensional turbulence via multi-dimensional hybrid quantum reservoir computing.
AU  - Salatino L
AU  - Mariani L
AU  - Giordano A
AU  - D'Amore F
AU  - Mastroianni C
AU  - Pontieri L
AU  - Vinci A
AU  - Gencarelli C
AU  - Primavera L
AU  - Plastina F
AU  - Settino J
AU  - Carbone F
PY  - 2026
JO  - Chaos (Woodbury, N.Y.)
DO  - 10.1063/5.0334540
UR  - https://doi.org/10.1063/5.0334540
ER  - 

APA

L, S., L, M., A, G., F, D., C, M., L, P., A, V., C, G., L, P., F, P., J, S., & F, C. (2026). Forecasting low-dimensional turbulence via multi-dimensional hybrid quantum reservoir computing.. Chaos (Woodbury, N.Y.). https://doi.org/10.1063/5.0334540

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