A quantum reservoir computing approach to quantum stock price forecasting in technology-markets
- DOI
- 10.1140/epjqt/s40507-026-00563-2
- Published
- 2026-09-10
- Container
- EPJ Quantum Technology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1140/epjqt/s40507-026-00563-2,
title = {A quantum reservoir computing approach to quantum stock price forecasting in technology-markets},
author = {Wendy Otieno and Alexandre Zagoskin and Alexander G. Balanov and Juan Totero Gongora and Sergey E. Savel’ev},
year = {2026},
journal = {EPJ Quantum Technology},
doi = {10.1140/epjqt/s40507-026-00563-2},
url = {https://doi.org/10.1140/epjqt/s40507-026-00563-2}
}RIS
TY - JOUR TI - A quantum reservoir computing approach to quantum stock price forecasting in technology-markets AU - Wendy Otieno AU - Alexandre Zagoskin AU - Alexander G. Balanov AU - Juan Totero Gongora AU - Sergey E. Savel’ev PY - 2026 JO - EPJ Quantum Technology DO - 10.1140/epjqt/s40507-026-00563-2 UR - https://doi.org/10.1140/epjqt/s40507-026-00563-2 ER -
APA
Otieno, W., Zagoskin, A., Balanov, A. G., Gongora, J. T., & Savel’ev, S. E. (2026). A quantum reservoir computing approach to quantum stock price forecasting in technology-markets. EPJ Quantum Technology. https://doi.org/10.1140/epjqt/s40507-026-00563-2
Source records
- crossref · retrieved 2026-09-26T11:52:46.881Z