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quantum-kernel

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maximer-v / quantum-machine-learning

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This is an exploration using synthetic data in CSV format to apply QML models for the sake of binary classification. You can find here three different approaches. Two with Qiskit (VQC and QK/SVC) and one with Pennylane (QVC).

qml quantum quantum-computing support-vector-machines quantum-programming-language quantum-algorithms support-vector-classifier quantum-machine-learning synthetic-data qiskit qiskit-tutorial qiskit-aqua qml-applications pennylane variational-quantum-classifier quantum-kernel
  • Updated Jan 14, 2024
  • Jupyter Notebook
Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation

sergio94al / Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation

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Registered Software. 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.

machine-learning qml genetic-algorithm artificial-intelligence quantum-computing evolutionary-algorithms kernel-methods optimization-methods genetic-algorithms evolutionary-strategy quantum-algorithms multiobjective-optimization classifiers quantum-machine-learning supervised-learning-algorithms automatic-machine-learning quantum-inspired-algorithm quantum-kernel
  • Updated Mar 18, 2024
  • Jupyter Notebook

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