Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation

Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation

sergio94al

Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.

2 Stars
3 Forks
2 Watchers
Jupyter Notebook Language
Cost to Build
$10.7K
Market Value
$5.6K

Growth over time

2 data points  ·  2023-02-15 → 2023-07-07
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What is the sergio94al/Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation GitHub project? Description: "Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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