Enhancing the performance of Variational Quantum Classifiers with hybrid
autoencoders
Enhancing the performance of Variational Quantum Classifiers with hybrid
autoencoders
Variational Quantum Circuits (VQC) lie at the forefront of quantum machine learning research. Still, the use of quantum networks for real data processing remains challenging as the number of available qubits cannot accommodate a large dimensionality of data --if the usual angle encoding scenario is used. To achieve dimensionality reduction, …