GitHub / sergio94al / AutoQML-Quantum-Inspired-Kernels-by-Using-Genetic-Algorithms-for-Grayscale-images
This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for grayscale images, optimizing both quantum circuits and dimensionality reduction method.
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PURL: pkg:github/sergio94al/AutoQML-Quantum-Inspired-Kernels-by-Using-Genetic-Algorithms-for-Grayscale-images
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Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 170 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 8 months ago
Pushed at: 8 months ago
Last synced at: 8 months ago
Topics: artificial-intelligence, automatic-machine-learning, automl, evolutionary-algorithms, genetic-algorithms, machine-learning, optimization, quantum-artificial-intelligence, quantum-inspired-algorithm, quantum-kernel, quantum-machine-learning