Quantum image classification using quantum circuits and variational classifiers on a MNIST dataset.
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Updated
Sep 4, 2024 - Jupyter Notebook
Quantum image classification using quantum circuits and variational classifiers on a MNIST dataset.
Scientific Initiation project to implement KL Divergence Measures and a conversor of description files to Qiskit and Pennylane circuits
This repository is a collection of quantum machine learning models implemented using various quantum computing frameworks. By the time being, the models were implemented on Tencents's TensorCircuit and IBM's Qiskit.
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