Cargando…
A hybrid classical-quantum approach to speed-up Q-learning
We introduce a classical-quantum hybrid approach to computation, allowing for a quadratic performance improvement in the decision process of a learning agent. Using the paradigm of quantum accelerators, we introduce a routine that runs on a quantum computer, which allows for the encoding of probabil...
Autores principales: | Sannia, A., Giordano, A., Gullo, N. Lo, Mastroianni, C., Plastina, F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995512/ https://www.ncbi.nlm.nih.gov/pubmed/36890198 http://dx.doi.org/10.1038/s41598-023-30990-5 |
Ejemplares similares
-
Hybrid quantum-classical approach to enhanced quantum metrology
por: Yang, Xiaodong, et al.
Publicado: (2021) -
Experimental quantum speed-up in reinforcement learning
agents
por: Saggio, V., et al.
Publicado: (2021) -
Hybrid quantum-classical machine learning for generative chemistry and drug design
por: Gircha, A. I., et al.
Publicado: (2023) -
Wavelength Assignment in Hybrid Quantum-Classical Networks
por: Bahrani, Sima, et al.
Publicado: (2018) -
Hybrid classical-quantum machine learning based on dissipative two-qubit channels
por: Ghasemian, E., et al.
Publicado: (2022)