quantum-kernel
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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).
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Jan 14, 2024 - Jupyter Notebook
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.
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Mar 18, 2024 - Jupyter Notebook
Implementations of quantum circuits for Quantum Neural Networks with Qutrits
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Jan 8, 2024 - Jupyter Notebook
Benchmarking quanvolutional neural networks with QCML and Pennylane.
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Dec 8, 2024 - Jupyter Notebook
Calculation of the ground state energy of a Hubbard dimer using the Levy-Lieb density functional.
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Sep 22, 2024 - Jupyter Notebook
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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Nov 8, 2024 - Jupyter Notebook
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