Quantum image classification using quantum circuits and variational classifiers on a MNIST dataset.
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Sep 4, 2024 - Jupyter Notebook
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variational-classifier
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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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Aug 16, 2024 - Jupyter Notebook
Scientific Initiation project to implement KL Divergence Measures and a conversor of description files to Qiskit and Pennylane circuits
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Sep 17, 2025 - Jupyter Notebook
🤖 Classify handwritten digits with a hybrid quantum-classical neural network using Qiskit and PyTorch for advanced image recognition.
machine-learning ai tensorflow pytorch mnist quantum-computing neural-networks classification mnist-classification mnist-dataset tensorboard mnist-data mnist-handwriting-recognition openqasm tensorflow-quantum-classification single-pixel-imaging quantumneuralnetwork variational-classifier
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Jan 25, 2026 - Python
🧠 Classify handwritten digits using a hybrid quantum-classical neural network with Qiskit and PyTorch, showcasing quantum computing's power in machine learning.
deep-neural-networks ai deep-learning tensorflow mnist quantum-computing hyperparameter-optimization mnist-dataset image-classification tensorboard mnist-data mnist-handwriting-recognition quantum-neural-networks parameterized-quantum-circuit vqc quantum-platforms quantumneuralnetwork variational-classifier
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Jan 25, 2026 - Python
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