13 Quantum-enhanced neural networks: bridging the quantum algorithm and machine learning
Abstract
Using quantum concepts like superposition and entanglement, quantum-enhanced neural networks (QENN) combine machine learning (ML) and quantum computing to improve neural network performance. They are expected to have a revolutionary influence on optimization, pattern recognition, and complex data analysis. In this work, authors discuss the principles of quantum computing, including superposition, entanglement, and quantum gates, before introducing many quantum ML (QML) techniques, including Grover’s search, Shor’s factoring, and quantum annealing. Following that, ...
Get Quantum Machine Learning now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
