GitHub / kephircheek / Hybrid-quantum-classical-unsupervised-data-clustering-based-on-the-self-organizing-feature-map
We introduce an algorithm for quantum assisted unsupervised data clustering using the self-organizing feature map, a type of artificial neural network
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PURL: pkg:github/kephircheek/Hybrid-quantum-classical-unsupervised-data-clustering-based-on-the-self-organizing-feature-map
Stars: 0
Forks: 0
Open issues: 7
License: None
Language: Jupyter Notebook
Size: 11.4 MB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: 6 months ago
Topics: machine-learning, quantum-algorithms, quantum-circuits, quantum-computation, quantum-simulation