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Quantum Training for Classical Neural Networks by ankitsharmaps92 is a document available to read on EtoBox.

What is Quantum Training for Classical Neural Networks about?

This document proposes a novel training scheme for classical neural networks (NNs) that leverages quantum machine learning (QML) to reduce the number of parameters needed for training. By mapping classical NN parameters to a quantum neural network (QNN) with significantly fewer rotational gate angles, the approach allows for efficient training while enabling inference on classical computers. Numerical results demonstrate the effectiveness of this method, which opens new avenues for practical applications of

Author

ankitsharmaps92

Language

EN