Cargando…
A quantum Hopfield associative memory implemented on an actual quantum processor
In this work, we present a Quantum Hopfield Associative Memory (QHAM) and demonstrate its capabilities in simulation and hardware using IBM Quantum Experience.. The QHAM is based on a quantum neuron design which can be utilized for many different machine learning applications and can be implemented...
Autores principales: | Miller, Nathan Eli, Mukhopadhyay, Saibal |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642452/ https://www.ncbi.nlm.nih.gov/pubmed/34862426 http://dx.doi.org/10.1038/s41598-021-02866-z |
Ejemplares similares
-
Generation of Pseudo-Random Quantum States on Actual Quantum Processors
por: Cenedese, Gabriele, et al.
Publicado: (2023) -
Fault-tolerant interface between quantum memories and quantum processors
por: Poulsen Nautrup, Hendrik, et al.
Publicado: (2017) -
On Macroscopic Quantum Phenomena in Biomolecules and Cells: From Levinthal to Hopfield
por: Raković, Dejan, et al.
Publicado: (2014) -
Efficient quantum walk on a quantum processor
por: Qiang, Xiaogang, et al.
Publicado: (2016) -
Quantum Hopfield Neural Networks: A New Approach and Its Storage Capacity
por: Meinhardt, Nicholas, et al.
Publicado: (2020)