Quantum Neuron

Quantum neurons are artificial neurons implemented using quantum computing principles, aiming to leverage quantum mechanics for enhanced machine learning capabilities. Current research focuses on developing and analyzing various quantum neural network architectures, including gate-based and pulse-based models, exploring their expressiveness and limitations compared to classical counterparts, and investigating efficient training methods like stochastic variational optimization. This field seeks to improve the performance of machine learning tasks, particularly in areas where classical methods struggle, such as image processing and complex function approximation, by utilizing the unique properties of quantum systems. The ultimate goal is to determine whether quantum neurons offer a practical advantage over classical approaches.