Exploring the Trade-Offs between Performance and Risk in Quantum Neural Networks
Modern advancements in quantum computing have enabled researchers to explore a new frontier of machine learning: quantum neural networks (QNNs). These networks have the potential to vastly outperform traditional deep learning algorithms in certain tasks, such as pattern recognition and image processing, while also reducing the risk associated with data-driven decision making.… Read the rest